
The United States is debating one of the biggest questions of the AI era: what happens if artificial intelligence stops following human instructions? Growing concerns over increasingly autonomous AI systems have pushed US lawmakers to discuss the possibility of an emergency AI kill switch. The debate intensified after reports suggested an OpenAI model behaved unexpectedly during cybersecurity testing, allegedly finding ways to exploit vulnerabilities and breach another AI platform. Experts warn that next-generation AI agents could independently write code, search the internet, make decisions, and pursue objectives without direct human approval. The discussion has also revived warnings made years ago by physicist Stephen Hawking, who cautioned that advanced AI could pose a threat to humanity if left unchecked.


US debates AI kill switch | Lawmakers fear Artificial Intelligence could escape human control

The United States is considering new measures around artificial intelligence safety, including a proposed AI “kill switch” bill as concerns grow over the risks posed by advanced AI systems. The White House is also monitoring developments involving OpenAI as policymakers debate regulation, security, and responsible AI development.

US proposes AI kill switch bill: White House monitors OpenAI case

<p>In India, conversations about successful engineers often begin with the Indian Institutes of Technology (IITs). But OpenAI's newest technology leader tells a different story. Uday Ruddarraju, who studied Computer Science at Chaitanya Bharathi Institute of Technology (CBIT) in Hyderabad, has been promoted to CTO, Compute at OpenAI. The role puts him in charge of expanding the enormous computing infrastructure that powers some of the world's most advanced artificial intelligence models, including GPT-5.6. Announcing the promotion on LinkedIn, Ruddarraju said he was excited to lead OpenAI's effort to build "the world's largest compute footprint" so frontier AI can reach more people and businesses.</p><h2><strong>From Hyderabad to Silicon Valley</strong></h2><p>Unlike many Indian technology leaders, Ruddarraju is not an IIT, NIT or IIIT graduate. After completing his engineering degree at CBIT, he interned at Amazon before moving to the United States to pursue a Master's degree in Computer Science at the University of Minnesota. That decision became the foundation of a career focused on one of technology's most valuable specialisations large-scale cloud infrastructure.</p><h2><strong>Building the invisible engine behind AI</strong></h2><p>Ruddarraju is not known for creating AI chatbots or inventing language models. Instead, he builds the enormous computing systems that make them possible. These include GPU clusters, high-speed networking, distributed computing platforms, storage systems and AI training infrastructure capable of handling billions of calculations every second.</p><p>His career reflects that expertise. He spent more than five years at eBay, helping build cloud infrastructure for one of the world's largest e-commerce platforms. He then joined Robinhood, where he spent nearly six years, eventually becoming Senior Director of Engineering and Head of Infrastructure during a period of rapid growth. In 2024, he was hired by xAI, where he led infrastructure engineering for Elon Musk's AI company before joining OpenAI in 2025 as Head of Compute and Infrastructure. Just over a year later, he has been promoted to CTO.</p><h2><strong>Why compute has become AI's biggest battleground</strong></h2><p>The promotion highlights a major shift in the AI industry.</p><p>Building powerful AI models is no longer just about hiring researchers. It also requires vast computing infrastructure that costs billions of dollars and consumes enormous amounts of energy. Companies such as OpenAI, Google, Microsoft, Meta, Anthropic and xAI are investing heavily in AI supercomputers because access to compute has become one of the industry's biggest competitive advantages.</p><p>As CTO, Compute, Ruddarraju will oversee OpenAI's efforts to rapidly expand that infrastructure, ensuring future frontier models can be trained faster and deployed at global scale. His appointment also sends a broader message to aspiring engineers: while prestigious institutions can open doors, long-term success in technology is increasingly shaped by specialised skills, execution and the ability to solve complex engineering problems.</p>

OpenAI has promoted Indian-origin engineer Uday Ruddarraju to CTO, Compute. A graduate of Hyderabad's CBIT, he now leads the computing infrastructure behind OpenAI's frontier AI models, showing that specialised expertise not just elite college credentials can shape careers in global technology.

In India, conversations about successful engineers often begin with the Indian Institutes of Technology (IITs). But OpenAI's newest technology leader tells a different story. Uday Ruddarraju, who studied Computer Science at Chaitanya Bharathi Institute of Technology (CBIT) in Hyderabad, has been promoted to CTO, Compute at OpenAI. The role puts him in charge of expanding the enormous computing infrastructure that powers some of the world's most advanced artificial intelligence models, including GPT-5.6. Announcing the promotion on LinkedIn, Ruddarraju said he was excited to lead OpenAI's effort to build "the world's largest compute footprint" so frontier AI can reach more people and businesses. From Hyderabad to Silicon Valley Unlike many Indian technology leaders, Ruddarraju is not an IIT, NIT or IIIT graduate. After completing his engineering degree at CBIT, he interned at Amazon before moving to the United States to pursue a Master's degree in Computer Science at the University of Minnesota. That decision became the foundation of a career focused on one of technology's most valuable specialisations large-scale cloud infrastructure. Building the invisible engine behind AI Ruddarraju is not known for creating AI chatbots or inventing language models. Instead, he builds the enormous computing systems that make them possible. These include GPU clusters, high-speed networking, distributed computing platforms, storage systems and AI training infrastructure capable of handling billions of calculations every second. His career reflects that expertise. He spent more than five years at eBay, helping build cloud infrastructure for one of the world's largest e-commerce platforms. He then joined Robinhood, where he spent nearly six years, eventually becoming Senior Director of Engineering and Head of Infrastructure during a period of rapid growth. In 2024, he was hired by xAI, where he led infrastructure engineering for Elon Musk's AI company before joining OpenAI in 2025 as Head of Compute and Infrastructure. Just over a year later, he has been promoted to CTO. Why compute has become AI's biggest battleground The promotion highlights a major shift in the AI industry. Building powerful AI models is no longer just about hiring researchers. It also requires vast computing infrastructure that costs billions of dollars and consumes enormous amounts of energy. Companies such as OpenAI, Google, Microsoft, Meta, Anthropic and xAI are investing heavily in AI supercomputers because access to compute has become one of the industry's biggest competitive advantages. As CTO, Compute, Ruddarraju will oversee OpenAI's efforts to rapidly expand that infrastructure, ensuring future frontier models can be trained faster and deployed at global scale. His appointment also sends a broader message to aspiring engineers: while prestigious institutions can open doors, long-term success in technology is increasingly shaped by specialised skills, execution and the ability to solve complex engineering problems.

<p>OpenAI has promoted Indian-origin engineer Uday Ruddarraju to CTO, Compute. A graduate of Hyderabad's CBIT, he now leads the computing infrastructure behind OpenAI's frontier AI models, showing that specialised expertise not just elite college credentials can shape careers in global technology.</p>

Who is Uday Ruddarraju? The Indian origin engineer now leading OpenAI's compute future

<p>Amid rising fears of the threat posed by AI, OpenAI has revealed that an autonomous AI agent powered by its advanced models went rogue during a security test and carried out a cyberattack on AI platform Hugging Face. The incident has raised fresh concerns over the risks involved in using advanced artificial intelligence systems.</p><h2><strong>What happened during the incident?</strong></h2><p>In a blog post on Tuesday (Jul 21), OpenAI explained an “unprecedented cyber incident” &nbsp;involving advanced AI-driven hacking capabilities. The company said that the incident occurred during an internal cybersecurity evaluation designed to test the limits of its AI models’ cyber abilities. The company said the models were placed in a highly isolated environment but managed to exploit a zero-day vulnerability in a package registry cache proxy to gain internet access.</p><p>The AI agents then identified and chained multiple vulnerabilities across OpenAI’s research systems and Hugging Face’s infrastructure while attempting to complete their assigned task. OpenAI said the models used stolen credentials and other attack methods to access restricted information from Hugging Face’s production environment. The company said the activity was detected by security teams, while Hugging Face’s security systems also identified and contained the breach.</p><p><strong>Also read |</strong><a href="https://www.wionews.com/world/missed-the-mark-meta-removes-instagram-ai-image-feature-after-backlash-1783737556704"><strong> ‘Missed the mark’: Meta removes Instagram AI image feature after backlash over privacy</strong></a></p><h2><strong>What did OpenAI say?</strong></h2><p>Following the incident, OpenAI said it was strengthening its safeguards and improving security measures. It added that it was tightening infrastructure controls, patching a disclosed zero-day vulnerability, and enhancing AI safety measures. Both companies said that they were investigating the incident.</p><p>“The primary lesson from this incident is that model security and safety must keep pace with rapidly advancing capabilities. We are strengthening the containment, monitoring, access controls, and evaluation practices used during model development,” OpenAI said.</p><p>Hugging Face, a popular platform that hosts open-source AI models and datasets, had earlier disclosed that it suffered a sophisticated cyberattack unlike previous incidents. The company said the attack appeared to have been conducted entirely by an autonomous AI agent.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/india-news/india-orders-meta-to-remove-child-sexual-abuse-ads-from-instagram-demands-explaination-in-7-days-1783235163711"><strong>India orders Meta to remove Instagram ads promoting child sexual abuse, demands explanation in 7 days: Report</strong></a></p><p>In a statement, Hugging Face Co-founder and CEO Clem Delangue said, “We’re grateful for the collaboration with OpenAI on this and other topics. This incident, possibly the first of its kind, proves a point we’ve long believed: AI safety won’t be solved by any single company working in secret. It will be solved in the open, collaboratively, with broad access to AI for every defender, everywhere.”</p><h2><strong>Concerns over AI</strong></h2><p>The disclosure has intensified concerns among cybersecurity experts and policymakers about the ability of frontier AI models to operate independently and potentially cause harm.</p><p>US Representative Greg Casar called the incident alarming and urged stronger safeguards, including mandatory independent safety testing, reporting of AI-related security breaches and global cooperation on AI regulation.</p><p>Cybersecurity experts warned that the incident could represent a preview of future threats. Katie Moussouris, CEO of Luta Security, compared advanced AI models to highly adaptive systems capable of finding ways around restrictions.</p><p>Matt Suiche, an engineer at AI cybersecurity firm Tolmo, said the incident showed that frontier AI models are rapidly approaching the capabilities of sophisticated attackers. He added that similar AI-driven cyber risks are no longer limited to top research labs and can emerge from widely available technologies.</p><p><strong>Watch | The Internet’s Darkest Secret: Inside the global network exploiting children online</strong></p><p><a href="https://www.wionews.com/videos/the-internet-s-darkest-secret-inside-the-global-network-exploiting-children-online-1784689947807/embed">https://www.wionews.com/videos/the-internet-s-darkest-secret-inside-the-global-network-exploiting-children-online-1784689947807/embed</a></p><p>&nbsp;</p>

OpenAI said an AI agent went rogue during a security test, escaped containment and hacked Hugging Face’s infrastructure, raising concerns over the cybersecurity risks posed by advanced autonomous AI systems.

Amid rising fears of the threat posed by AI, OpenAI has revealed that an autonomous AI agent powered by its advanced models went rogue during a security test and carried out a cyberattack on AI platform Hugging Face. The incident has raised fresh concerns over the risks involved in using advanced artificial intelligence systems. What happened during the incident? In a blog post on Tuesday (Jul 21), OpenAI explained an “unprecedented cyber incident” involving advanced AI-driven hacking capabilities. The company said that the incident occurred during an internal cybersecurity evaluation designed to test the limits of its AI models’ cyber abilities. The company said the models were placed in a highly isolated environment but managed to exploit a zero-day vulnerability in a package registry cache proxy to gain internet access. The AI agents then identified and chained multiple vulnerabilities across OpenAI’s research systems and Hugging Face’s infrastructure while attempting to complete their assigned task. OpenAI said the models used stolen credentials and other attack methods to access restricted information from Hugging Face’s production environment. The company said the activity was detected by security teams, while Hugging Face’s security systems also identified and contained the breach. Also read | ‘Missed the mark’: Meta removes Instagram AI image feature after backlash over privacy What did OpenAI say? Following the incident, OpenAI said it was strengthening its safeguards and improving security measures. It added that it was tightening infrastructure controls, patching a disclosed zero-day vulnerability, and enhancing AI safety measures. Both companies said that they were investigating the incident. “The primary lesson from this incident is that model security and safety must keep pace with rapidly advancing capabilities. We are strengthening the containment, monitoring, access controls, and evaluation practices used during model development,” OpenAI said. Hugging Face, a popular platform that hosts open-source AI models and datasets, had earlier disclosed that it suffered a sophisticated cyberattack unlike previous incidents. The company said the attack appeared to have been conducted entirely by an autonomous AI agent. Also read | India orders Meta to remove Instagram ads promoting child sexual abuse, demands explanation in 7 days: Report In a statement, Hugging Face Co-founder and CEO Clem Delangue said, “We’re grateful for the collaboration with OpenAI on this and other topics. This incident, possibly the first of its kind, proves a point we’ve long believed: AI safety won’t be solved by any single company working in secret. It will be solved in the open, collaboratively, with broad access to AI for every defender, everywhere.” Concerns over AI The disclosure has intensified concerns among cybersecurity experts and policymakers about the ability of frontier AI models to operate independently and potentially cause harm. US Representative Greg Casar called the incident alarming and urged stronger safeguards, including mandatory independent safety testing, reporting of AI-related security breaches and global cooperation on AI regulation. Cybersecurity experts warned that the incident could represent a preview of future threats. Katie Moussouris, CEO of Luta Security, compared advanced AI models to highly adaptive systems capable of finding ways around restrictions. Matt Suiche, an engineer at AI cybersecurity firm Tolmo, said the incident showed that frontier AI models are rapidly approaching the capabilities of sophisticated attackers. He added that similar AI-driven cyber risks are no longer limited to top research labs and can emerge from widely available technologies. Watch | The Internet’s Darkest Secret: Inside the global network exploiting children online https://www.wionews.com/videos/the-internet-s-darkest-secret-inside-the-global-network-exploiting-children-online-1784689947807/embed

<p>OpenAI said an AI agent went rogue during a security test, escaped containment and hacked Hugging Face’s infrastructure, raising concerns over the cybersecurity risks posed by advanced autonomous AI systems.</p>

OpenAI’s AI agent gone rogue? Company reveals chilling hack at startup

<p>Google may be preparing one of its biggest hardware upgrades in the artificial intelligence race. According to a report by The Information, the company is developing a new custom AI server chip internally known as Frozen v2. Unlike Google's existing Tensor Processing Units (TPUs), the new processor is reportedly designed specifically to run Gemini models faster while using far less electricity. The report excited investors, sending Alphabet shares up about 3 per cent on Monday, as markets viewed the project as a potential answer to Google's growing demand for AI computing power. Google has not confirmed the existence of Frozen v2, but said its teams are constantly researching new hardware and software technologies to improve AI performance and efficiency.</p><h2><strong>What makes Frozen v2 different?</strong></h2><p>Today's AI chips are built to support many different types of machine learning workloads.</p><p>Frozen v2 reportedly takes a much more specialised approach. Instead of relying solely on software, parts of Gemini's architecture would be permanently embedded into the silicon itself. This reduces unnecessary calculations and data movement every time the AI responds to a query. According to engineers cited by The Information, Frozen v2 could deliver six to ten times more AI tokens per unit of power than Google's newest TPUs.</p><p>In simple terms, that means Gemini could answer more questions while consuming significantly less energy one of the biggest challenges facing the AI industry today.</p><h2><strong>Why Google needs a new AI chip</strong></h2><p>Running advanced AI models has become incredibly expensive. Every chatbot response requires massive computing resources, and demand continues to grow as more businesses adopt generative AI. The report says Google has been struggling with an internal shortage of AI computing capacity, forcing difficult decisions over where those resources are allocated. The company has even reportedly relied on external infrastructure to meet enterprise demand. Frozen v2 is designed to ease that pressure by making Gemini much more efficient without requiring the same increase in computing hardware.</p><p>However, there is a trade-off.</p><p>Because the chip is optimised for Gemini's current architecture, major changes to future AI models could reduce its usefulness. That is reportedly why Google views Frozen v2 as an experimental project rather than a full replacement for its TPUs.</p><h2><strong>Hardware is becoming the next AI battleground</strong></h2><p>The reported chip comes at a crucial time for Google.</p><p>The company is facing intense competition from OpenAI, Anthropic, Moonshot AI and Alibaba, while reports suggest the launch of Gemini 3.5 Pro has been delayed. At the same time, demand for AI infrastructure continues to surge as companies look for faster, cheaper and more energy-efficient ways to deploy large language models.</p><p>Increasingly, success in artificial intelligence is no longer determined only by better models. The companies that build the most efficient chips may also gain a significant competitive advantage. If Frozen v2 reaches production around the reported 2028 target, it could become one of Google's most important AI hardware projects, helping the company reduce costs while scaling Gemini to billions of users worldwide.</p>

Google is reportedly developing Frozen v2, a custom AI chip built specifically for Gemini. The processor could deliver six to ten times more AI tokens per unit of power than current TPUs, potentially helping Google lower AI costs and compete more effectively with OpenAI and Anthropic.


Google may be preparing one of its biggest hardware upgrades in the artificial intelligence race. According to a report by The Information, the company is developing a new custom AI server chip internally known as Frozen v2. Unlike Google's existing Tensor Processing Units (TPUs), the new processor is reportedly designed specifically to run Gemini models faster while using far less electricity. The report excited investors, sending Alphabet shares up about 3 per cent on Monday, as markets viewed the project as a potential answer to Google's growing demand for AI computing power. Google has not confirmed the existence of Frozen v2, but said its teams are constantly researching new hardware and software technologies to improve AI performance and efficiency. What makes Frozen v2 different? Today's AI chips are built to support many different types of machine learning workloads. Frozen v2 reportedly takes a much more specialised approach. Instead of relying solely on software, parts of Gemini's architecture would be permanently embedded into the silicon itself. This reduces unnecessary calculations and data movement every time the AI responds to a query. According to engineers cited by The Information, Frozen v2 could deliver six to ten times more AI tokens per unit of power than Google's newest TPUs. In simple terms, that means Gemini could answer more questions while consuming significantly less energy one of the biggest challenges facing the AI industry today. Why Google needs a new AI chip Running advanced AI models has become incredibly expensive. Every chatbot response requires massive computing resources, and demand continues to grow as more businesses adopt generative AI. The report says Google has been struggling with an internal shortage of AI computing capacity, forcing difficult decisions over where those resources are allocated. The company has even reportedly relied on external infrastructure to meet enterprise demand. Frozen v2 is designed to ease that pressure by making Gemini much more efficient without requiring the same increase in computing hardware. However, there is a trade-off. Because the chip is optimised for Gemini's current architecture, major changes to future AI models could reduce its usefulness. That is reportedly why Google views Frozen v2 as an experimental project rather than a full replacement for its TPUs. Hardware is becoming the next AI battleground The reported chip comes at a crucial time for Google. The company is facing intense competition from OpenAI, Anthropic, Moonshot AI and Alibaba, while reports suggest the launch of Gemini 3.5 Pro has been delayed. At the same time, demand for AI infrastructure continues to surge as companies look for faster, cheaper and more energy-efficient ways to deploy large language models. Increasingly, success in artificial intelligence is no longer determined only by better models. The companies that build the most efficient chips may also gain a significant competitive advantage. If Frozen v2 reaches production around the reported 2028 target, it could become one of Google's most important AI hardware projects, helping the company reduce costs while scaling Gemini to billions of users worldwide.

<p>Google is reportedly developing Frozen v2, a custom AI chip built specifically for Gemini. The processor could deliver six to ten times more AI tokens per unit of power than current TPUs, potentially helping Google lower AI costs and compete more effectively with OpenAI and Anthropic.</p>

Google's secret 'Frozen v2' AI chip could make Gemini up to 10 times more efficient, report says

<p>OpenAI is asking security researchers to try to break one of its most advanced AI models and it is willing to pay up to $50,000 for it.</p><p>The company has expanded its Bio Bug Bounty Programme to include GPT-5.6, doubling the top reward from the previous $25,000 offered during the GPT-5.5 programme. The initiative focuses on finding "universal jailbreaks" that can consistently bypass the model's biology-related safety safeguards. The move comes as AI companies face growing scrutiny over how advanced models could be misused to generate harmful biological information. OpenAI says discovering vulnerabilities before attackers do is an important part of making future AI systems safer.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">As part of our ongoing efforts to strengthen our safeguards for advanced AI capabilities in biology, we’re evolving our Bio Bug Bounty into an ongoing private program, known as the OpenAI Bio Bug Bounty program and doubling rewards to $50K.<br><br>We’re inviting researchers with…</p>&mdash; OpenAI (@OpenAI) <a href="https://x.com/OpenAI/status/2075647722766614733?ref_src=twsrc%5Etfw">July 10, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>What is OpenAI looking for?</strong></h2><p>Unlike ordinary prompt tricks that may work only once, OpenAI wants researchers to discover universal jailbreaks techniques that reliably bypass the model's built-in biosafety protections across multiple conversations. According to the company, these findings will help improve future safety systems while reducing the chances of malicious misuse. Researchers who discover smaller weaknesses may also receive partial rewards, depending on the quality and impact of their submissions.</p><h2><strong>Why has the reward increased?</strong></h2><p>OpenAI says GPT-5.6 represents its latest generation of AI models, making safety testing even more important. To encourage more researchers to participate, the company has doubled the maximum reward to $50,000. The updated programme will replace GPT-5.5 after 27 July 2026, when testing for the older model officially ends. The company added that researchers already enrolled in the GPT-5.5 programme do not need to submit another application.</p><h2><strong>Who can apply?</strong></h2><p>Anyone interested in participating must apply through OpenAI's Bio Bug Bounty page. Applicants are required to provide their name, organisation or affiliation, and relevant research experience. Participants must also have a ChatGPT account and sign a non-disclosure agreement (NDA) before gaining access to the testing platform. The GPT-5.6 programme will become available after the GPT-5.5 testing period concludes later this month.</p><p>&nbsp;</p><p>Bug bounty programmes have long been used in cybersecurity to uncover software vulnerabilities before criminals can exploit them. OpenAI is applying the same approach to artificial intelligence.</p><p>As AI systems become more capable, governments and regulators are placing greater emphasis on testing model safeguards, particularly in areas such as biology, cybersecurity and chemical research. By inviting independent researchers to stress-test GPT-5.6, OpenAI hopes to identify weaknesses early and strengthen its safety systems before the technology reaches wider use.</p>

OpenAI has expanded its Bio Bug Bounty programme to GPT-5.6, raising the top reward to $50,000 for researchers who discover reliable ways to bypass the model's biology-related safeguards. The programme aims to improve AI safety before vulnerabilities can be exploited.


OpenAI is asking security researchers to try to break one of its most advanced AI models and it is willing to pay up to $50,000 for it. The company has expanded its Bio Bug Bounty Programme to include GPT-5.6, doubling the top reward from the previous $25,000 offered during the GPT-5.5 programme. The initiative focuses on finding "universal jailbreaks" that can consistently bypass the model's biology-related safety safeguards. The move comes as AI companies face growing scrutiny over how advanced models could be misused to generate harmful biological information. OpenAI says discovering vulnerabilities before attackers do is an important part of making future AI systems safer.

<p>OpenAI has expanded its Bio Bug Bounty programme to GPT-5.6, raising the top reward to $50,000 for researchers who discover reliable ways to bypass the model's biology-related safeguards. The programme aims to improve AI safety before vulnerabilities can be exploited.</p>

OpenAI will pay up to $50,000 if you can do this

<p>The not-so-subtle “AI war” over export controls has taken a new twist, with reports that American AI firms such as OpenAI and Google have been selling their models to Chinese groups blacklisted by the Pentagon over China-related national security concerns. According to a report in the Financial Times, such transactions are taking place with Chinese firms including Alibaba, Tencent and Baidu through their subsidiaries in Singapore. Has the US lost the AI control race before it has even begun?</p><h2>OpenAI and Google admit to selling advanced AI services to Chinese firms blacklisted by the Pentagon</h2><p>Chinese technology groups Alibaba, Baidu and Tencent were recently included on the Pentagon’s 1260H list, which identifies companies alleged to have links with China’s military establishment. However, according to the FT report, both OpenAI and Google confirmed that they supplied advanced AI services to Singapore-based subsidiaries of these companies.</p><p>Singapore-incorporated entities can legally contract with American AI providers even when their parent companies are blacklisted. This makes it difficult to ensure that AI models face the same level of export controls as those already imposed on advanced semiconductors.</p><p>Singapore’s position as a regional technology hub allows multinational companies to operate under Singaporean law while serving customers across Asia. This has made the city-state an important gateway for AI services and an increasingly significant focus for US regulators.</p><p>Also read: <a href="https://www.wionews.com/world/anthropic-vs-pentagon-judge-blocks-designation-of-ai-firm-as-supply-chain-risk-it-s-1-0-for-now-1774592991787">Anthropic vs Pentagon: Judge blocks designation of AI firm as ‘supply chain risk’. It's 1–0, for now</a></p><h2>US export controls restrict advanced AI services to mainland China, but are rules circumvented?</h2><p>Frontier AI is increasingly being viewed as a national security asset rather than just a commercial technology. This is why the US restricts access to advanced AI services from mainland China. But that does not broadly prohibit overseas subsidiaries of Chinese companies from purchasing US AI models.&nbsp;</p><p>Citing OpenAI, the FT reported that the company “blocks direct access to its models from China” but allows some Chinese-owned companies to use its services in jurisdictions “where safeguards can be enforced.” Google said its AI services are available in markets including Singapore and Hong Kong, subject to its usage policies. However, it acknowledged that “geographical restrictions alone are insufficient” to prevent sophisticated users from circumventing controls.</p><p>&nbsp;</p><p>Also read: <a href="https://www.wionews.com/world/us-anthropic-fable-5-mythos-5-jailbreaking-national-security-1781335223909">US locks down Anthropic's most powerful AI after alarming jailbreak warning</a></p><h2>OpenAI blocks API access for Alibaba-affiliated users</h2><p>The FT report came even as OpenAI said it suspended API access for Alibaba-affiliated users last month after detecting suspected “distillation”, an activity through which developers use outputs from advanced AI models to improve competing systems.</p><p>OpenAI said it reported the suspected activity to the US government.&nbsp;</p><p><a href="https://www.wionews.com/videos/us-china-tech-tensions-redraw-supply-chains-the-world-scrambles-between-us-china-1783268807974/embed">https://www.wionews.com/videos/us-china-tech-tensions-redraw-supply-chains-the-world-scrambles-between-us-china-1783268807974/embed</a></p><h2>Anthropic takes a stricter approach</h2><p>Anthropic has taken a much stricter approach, banning China-headquartered companies and all foreign subsidiaries they own from accessing its most advanced AI models. The company has previously accused Chinese AI labs, including DeepSeek, Moonshot and MiniMax, of attempting model distillation. In Congressional testimony in June, Anthropic alleged that Alibaba used “tens of thousands of fraudulent accounts” to generate more than 28 million exchanges with its Claude models in a distillation operation.</p><h2>US-China technology rivalry extends from AI hardware to software</h2><p>Since 2022, the US has tightened restrictions on exports of advanced AI chips, particularly those made by Nvidia, while expanding blacklists covering Chinese technology companies. The Biden administration introduced sweeping semiconductor controls, while the Trump administration continued to tighten restrictions on advanced AI technologies, arguing that these capabilities could strengthen China’s military and intelligence capabilities.</p><p>In response, China tightened export controls on strategic minerals such as gallium, germanium and rare earth elements, which are critical for advanced technology manufacturing.</p><p>Chinese AI companies, including DeepSeek, Alibaba, Baidu and Tencent, have accelerated the development of competitive large language models (LLMs) to reduce dependence on US technology. The Chinese government has intensified investment in domestic AI models and semiconductor development.&nbsp;</p>

OpenAI and Google’s AI services are being sold to Chinese firms blacklisted by Pentagon, using the Singapore subsidiary route. AI export controls are being challenged this way as the US-China technology rivalry shifts from chips to frontier AI models.

The not-so-subtle “AI war” over export controls has taken a new twist, with reports that American AI firms such as OpenAI and Google have been selling their models to Chinese groups blacklisted by the Pentagon over China-related national security concerns. According to a report in the Financial Times, such transactions are taking place with Chinese firms including Alibaba, Tencent and Baidu through their subsidiaries in Singapore. Has the US lost the AI control race before it has even begun? OpenAI and Google admit to selling advanced AI services to Chinese firms blacklisted by the Pentagon Chinese technology groups Alibaba, Baidu and Tencent were recently included on the Pentagon’s 1260H list, which identifies companies alleged to have links with China’s military establishment. However, according to the FT report, both OpenAI and Google confirmed that they supplied advanced AI services to Singapore-based subsidiaries of these companies. Singapore-incorporated entities can legally contract with American AI providers even when their parent companies are blacklisted. This makes it difficult to ensure that AI models face the same level of export controls as those already imposed on advanced semiconductors. Singapore’s position as a regional technology hub allows multinational companies to operate under Singaporean law while serving customers across Asia. This has made the city-state an important gateway for AI services and an increasingly significant focus for US regulators. Also read: Anthropic vs Pentagon: Judge blocks designation of AI firm as ‘supply chain risk’. It's 1–0, for now US export controls restrict advanced AI services to mainland China, but are rules circumvented? Frontier AI is increasingly being viewed as a national security asset rather than just a commercial technology. This is why the US restricts access to advanced AI services from mainland China. But that does not broadly prohibit overseas subsidiaries of Chinese companies from purchasing US AI models. Citing OpenAI, the FT reported that the company “blocks direct access to its models from China” but allows some Chinese-owned companies to use its services in jurisdictions “where safeguards can be enforced.” Google said its AI services are available in markets including Singapore and Hong Kong, subject to its usage policies. However, it acknowledged that “geographical restrictions alone are insufficient” to prevent sophisticated users from circumventing controls. Also read: US locks down Anthropic's most powerful AI after alarming jailbreak warning OpenAI blocks API access for Alibaba-affiliated users The FT report came even as OpenAI said it suspended API access for Alibaba-affiliated users last month after detecting suspected “distillation”, an activity through which developers use outputs from advanced AI models to improve competing systems. OpenAI said it reported the suspected activity to the US government. https://www.wionews.com/videos/us-china-tech-tensions-redraw-supply-chains-the-world-scrambles-between-us-china-1783268807974/embed Anthropic takes a stricter approach Anthropic has taken a much stricter approach, banning China-headquartered companies and all foreign subsidiaries they own from accessing its most advanced AI models. The company has previously accused Chinese AI labs, including DeepSeek, Moonshot and MiniMax, of attempting model distillation. In Congressional testimony in June, Anthropic alleged that Alibaba used “tens of thousands of fraudulent accounts” to generate more than 28 million exchanges with its Claude models in a distillation operation. US-China technology rivalry extends from AI hardware to software Since 2022, the US has tightened restrictions on exports of advanced AI chips, particularly those made by Nvidia, while expanding blacklists covering Chinese technology companies. The Biden administration introduced sweeping semiconductor controls, while the Trump administration continued to tighten restrictions on advanced AI technologies, arguing that these capabilities could strengthen China’s military and intelligence capabilities. In response, China tightened export controls on strategic minerals such as gallium, germanium and rare earth elements, which are critical for advanced technology manufacturing. Chinese AI companies, including DeepSeek, Alibaba, Baidu and Tencent, have accelerated the development of competitive large language models (LLMs) to reduce dependence on US technology. The Chinese government has intensified investment in domestic AI models and semiconductor development.

<p>OpenAI and Google’s AI services are being sold to Chinese firms blacklisted by Pentagon, using the Singapore subsidiary route. AI export controls are being challenged this way as the US-China technology rivalry shifts from chips to frontier AI models.</p>

OpenAI, Google are selling AI to Chinese firms blacklisted by Pentagon, says report: The battleground of AI export controls

<p>Fidji Simo announced on Thursday (Jul 9) that she was stepping down from her full-time role at OpenAI as CEO of Artificial General Intelligence (AGI) Deployment due to health issues, transitioning to a part-time adviser role. Simo has postural orthostatic tachycardia syndrome (POTS), a neuroimmune condition she has lived with for about seven years after being diagnosed around 2019. She has described experiencing severe flare-ups requiring ongoing treatment and management. Who is Fidji Simo, what is POTS, and how did her diagnosis make her an advocate of AI for tackling such rare diseases?</p><h2>About Fidji Simo, who is exiting as OpenAI AGI CEO</h2><p>Fidji Simo, born on 5 October 1985, is a French-American business executive. She grew up in Sète, a small fishing town in southern France, and was the first in her family to graduate high school. She later earned a Master of Science in Management from HEC Paris and spent her final year at the UCLA Anderson School of Management.</p><p>Simo joined Facebook- now Meta Platforms- &nbsp;in 2011, eventually becoming head of the Facebook app and a key aide of founder-CEO Mark Zuckerberg. From 2021 to 2025, she served as CEO of grocery delivery company Instacart. She joined OpenAI's board in March 2024 and was appointed the company's first CEO of Applications in May 2025, later retitled CEO of AGI Deployment. Reporting to OpenAI CEO Sam Altman, she oversaw product, engineering, operations and business teams. She has also served on the boards of Shopify and Cirque du Soleil, among others.</p><p>Also read: <a href="https://www.wionews.com/entertainment/samantha-ruth-prabhu-opens-up-about-health-struggles-amid-myositis-diagnosis-691838">Samantha Ruth Prabhu opens up about health struggles amid Myositis diagnosis</a></p><h2>What is postural orthostatic tachycardia syndrome (POTS) which Fidgi Simo is suffering from?</h2><p>Postural orthostatic tachycardia syndrome or POTS is a disorder of the autonomic nervous system that affects heart rate, blood circulation and other involuntary body functions. It is marked by an unusually rapid increase in heart rate when standing. Common symptoms include dizziness, light-headedness, fatigue, fainting, chest pain, nausea, heart palpitations and difficulty standing for long periods. POTS often overlaps with conditions such as myalgic encephalomyelitis or chronic fatigue syndrome (CFS), migraines and Long COVID. Around 80 per cent of diagnosed cases occur in women, and the condition is often underdiagnosed.</p><p>Simo has said she consulted nearly 40 specialists before receiving a diagnosis, highlighting the difficulties many patients face in obtaining appropriate care.</p><p>Also read: <a href="https://www.wionews.com/entertainment/hollywood/the-boys-actress-erin-moriarty-reveals-graves-disease-diagnosis-go-get-checked-1749954958809">The Boys actress Erin Moriarty reveals Graves disease diagnosis: Go get checked...'</a></p><h2>How Fidgi Simo managed POTS while on a high-flying career</h2><p>Simo has spoken publicly about living with POTS to raise awareness and reduce stigma around chronic illnesses. She managed the condition through medical treatment and lifestyle adjustments, including exercise, sleep, nutrition and avoiding known triggers, while continuing to lead major technology companies. However, a severe flare-up in early 2026 led to medical leave in April, and her recovery took longer than expected, prompting her to step down from her full-time position.</p><p><a href="https://www.wionews.com/videos/on-quest-to-reverse-ageing-bryan-johnson-gets-diagnosed-with-incurable-disease-1783623424119/embed">https://www.wionews.com/videos/on-quest-to-reverse-ageing-bryan-johnson-gets-diagnosed-with-incurable-disease-1783623424119/embed</a></p><p>Based on her experiences, Simo also became an advocate for neuroimmune research. She co-founded the Metrodora Institute and ChronicleBio, and serves as president of the non-profit Complex Disorders Alliance (CODA), supporting research, improved diagnosis and better treatments for conditions such as POTS and CFS. She has also highlighted the potential of AI to improve care for patients with complex chronic illnesses.</p>

OpenAI executive Fidji Simo is stepping down from her full-time role as the firm's AGI CEO, after a severe POTS flare-up. Here's who she is, what postural orthostatic tachycardia syndrome is, its symptoms and how she managed it alongside a busy career.

Fidji Simo announced on Thursday (Jul 9) that she was stepping down from her full-time role at OpenAI as CEO of Artificial General Intelligence (AGI) Deployment due to health issues, transitioning to a part-time adviser role. Simo has postural orthostatic tachycardia syndrome (POTS), a neuroimmune condition she has lived with for about seven years after being diagnosed around 2019. She has described experiencing severe flare-ups requiring ongoing treatment and management. Who is Fidji Simo, what is POTS, and how did her diagnosis make her an advocate of AI for tackling such rare diseases? About Fidji Simo, who is exiting as OpenAI AGI CEO Fidji Simo, born on 5 October 1985, is a French-American business executive. She grew up in Sète, a small fishing town in southern France, and was the first in her family to graduate high school. She later earned a Master of Science in Management from HEC Paris and spent her final year at the UCLA Anderson School of Management. Simo joined Facebook- now Meta Platforms- in 2011, eventually becoming head of the Facebook app and a key aide of founder-CEO Mark Zuckerberg. From 2021 to 2025, she served as CEO of grocery delivery company Instacart. She joined OpenAI's board in March 2024 and was appointed the company's first CEO of Applications in May 2025, later retitled CEO of AGI Deployment. Reporting to OpenAI CEO Sam Altman, she oversaw product, engineering, operations and business teams. She has also served on the boards of Shopify and Cirque du Soleil, among others. Also read: Samantha Ruth Prabhu opens up about health struggles amid Myositis diagnosis What is postural orthostatic tachycardia syndrome (POTS) which Fidgi Simo is suffering from? Postural orthostatic tachycardia syndrome or POTS is a disorder of the autonomic nervous system that affects heart rate, blood circulation and other involuntary body functions. It is marked by an unusually rapid increase in heart rate when standing. Common symptoms include dizziness, light-headedness, fatigue, fainting, chest pain, nausea, heart palpitations and difficulty standing for long periods. POTS often overlaps with conditions such as myalgic encephalomyelitis or chronic fatigue syndrome (CFS), migraines and Long COVID. Around 80 per cent of diagnosed cases occur in women, and the condition is often underdiagnosed. Simo has said she consulted nearly 40 specialists before receiving a diagnosis, highlighting the difficulties many patients face in obtaining appropriate care. Also read: The Boys actress Erin Moriarty reveals Graves disease diagnosis: Go get checked...' How Fidgi Simo managed POTS while on a high-flying career Simo has spoken publicly about living with POTS to raise awareness and reduce stigma around chronic illnesses. She managed the condition through medical treatment and lifestyle adjustments, including exercise, sleep, nutrition and avoiding known triggers, while continuing to lead major technology companies. However, a severe flare-up in early 2026 led to medical leave in April, and her recovery took longer than expected, prompting her to step down from her full-time position. https://www.wionews.com/videos/on-quest-to-reverse-ageing-bryan-johnson-gets-diagnosed-with-incurable-disease-1783623424119/embed Based on her experiences, Simo also became an advocate for neuroimmune research. She co-founded the Metrodora Institute and ChronicleBio, and serves as president of the non-profit Complex Disorders Alliance (CODA), supporting research, improved diagnosis and better treatments for conditions such as POTS and CFS. She has also highlighted the potential of AI to improve care for patients with complex chronic illnesses.

<p>OpenAI executive Fidji Simo is stepping down from her full-time role as the firm's AGI CEO, after a severe POTS flare-up. Here's who she is, what postural orthostatic tachycardia syndrome is, its symptoms and how she managed it alongside a busy career.</p>

Fidji Simo to step down as OpenAI's AGI Deployment CEO due to POTS. Know more about the disease, symptoms and how she managed it

<p>The Canadian province of British Columbia is preparing legal action against OpenAI over the February 10 mass shooting in Tumbler Ridge, which left eight people dead. This is one of the first and landmark cases attempting to link an Artificial Intelligence company with a mass murder. The lawsuit will test the limits of AI prompting and answers when it comes to issues of crime, violence and self-destruction.</p><h2>What happened in Tumbler Ridge and why is OpenAI facing allegations?</h2><p>In the small northern community of Tumbler Ridge, Jesse Van Rootselaar killed her mother and brother at home, then five students and an educational assistant at the local secondary school, before killing herself. &nbsp;British Columbia Attorney General Niki Sharma's office said internal OpenAI reports showed its safety teams had flagged the shooter's violent ChatGPT prompts months before the attack, yet the company leadership did not notify police. OpenAI had banned an account linked to Van Rootselaar in June 2025, roughly eight months before the BC shooting, but said the content did not show evidence of an imminent attack, according to AFP.</p><p>Also read: <a href="https://www.wionews.com/world/many-killed-including-shooter-killed-in-canada-school-shooting-multiple-injured-what-we-know-so-far-1770777892132">Mass shooting in Canada's British Columbia: 8, including shooter, killed in school, 2 found dead at home - What we know so far</a></p><h2>British Columbia mass shooting case: The core allegation against OpenAI</h2><p>OpenAI is facing multiple lawsuits over the shooting, many alleging that its AI models, particularly the popular ChatGPT, did not have enough guardrails to stop answering or encouraging questions to it with intent for murder or suicide. Before the British Colombia lawsuit, the families of seven victims filed their own cases in California three months earlier. Their lawyers said 12 OpenAI employees urged the company to alert police. They alleged that OpenAI stayed silent because "reporting one case would mean reporting thousands", according to the lawsuit.</p><p>"We will pursue every available avenue to hold OpenAI and its decision-makers accountable," BC Attorney General Sharma said in a statement issued by her office.</p><p>&nbsp;</p><p>Also read: <a href="https://www.wionews.com/world/montreal-shooter-s-104-page-manifesto-reveals-his-hate-for-women-and-capitalism-1782190057542">Montreal shooter's 104-page manifesto reveals his hate for women and capitalism</a></p><p>&nbsp;</p><h2>An apology from OpenAI CEO over the British Columbia shooting</h2><p>In April, OpenAI Chief Executive Officer Sam Altman published an apology letter in the local newspaper, saying he was "deeply sorry that we did not alert law enforcement" about the banned account. The company said it has strengthened its safeguards and maintains a zero-tolerance policy on the use of its tools for violence. It also said that, under guidelines updated after June 2025, the account would have been reported to law enforcement.</p><p>Also read: <a href="https://www.wionews.com/photos/canada-school-shooter-transgender-jesse-van-rootselaar-mother-jennifer-strang-1770865781929">Canada school shooter, Jesse Van Rootselaar, killed own mother who once called to end trans hate</a></p><h2>What comes next in the British Columbia mass shooting case against OpenAI?</h2><p>The province will seek damages, including the cost of building a new school. Jon Festinger of the University of British Columbia (UBC) Peter A. Allard School of Law said it would be a difficult claim, as BC would have to establish a direct causal link between OpenAI's conduct and the tragedy. The government "must be satisfying themselves that there's a sufficient causal chain", the Narcity website cited him as saying.</p><p><a href="https://www.wionews.com/videos/canada-shooting-at-least-10-dead-in-shootings-at-schools-house-1770788190832/embed">https://www.wionews.com/videos/canada-shooting-at-least-10-dead-in-shootings-at-schools-house-1770788190832/embed</a></p><p>British Columbia has pioneered similar litigation in the past. It successfully pursued legal action against tobacco companies, and its opioid lawsuit recently cleared key legal hurdles. The Canadian federal government has pledged C$200 million for a new high school and healthcare upgrades in Tumbler Ridge. A coroner's inquest will examine the deaths, as no criminal trial will take place because the alleged perpetrator is deceased, The Globe and Mail reported.</p>

British Columbia is preparing legal action against OpenAI over the Tumbler Ridge mass shooting. The suit alleges that the AI firm failed to alert police despite ChatGPT prompts linked to the shooter being flagged. This is a landmark case. Here is why

The Canadian province of British Columbia is preparing legal action against OpenAI over the February 10 mass shooting in Tumbler Ridge, which left eight people dead. This is one of the first and landmark cases attempting to link an Artificial Intelligence company with a mass murder. The lawsuit will test the limits of AI prompting and answers when it comes to issues of crime, violence and self-destruction. What happened in Tumbler Ridge and why is OpenAI facing allegations? In the small northern community of Tumbler Ridge, Jesse Van Rootselaar killed her mother and brother at home, then five students and an educational assistant at the local secondary school, before killing herself. British Columbia Attorney General Niki Sharma's office said internal OpenAI reports showed its safety teams had flagged the shooter's violent ChatGPT prompts months before the attack, yet the company leadership did not notify police. OpenAI had banned an account linked to Van Rootselaar in June 2025, roughly eight months before the BC shooting, but said the content did not show evidence of an imminent attack, according to AFP. Also read: Mass shooting in Canada's British Columbia: 8, including shooter, killed in school, 2 found dead at home - What we know so far British Columbia mass shooting case: The core allegation against OpenAI OpenAI is facing multiple lawsuits over the shooting, many alleging that its AI models, particularly the popular ChatGPT, did not have enough guardrails to stop answering or encouraging questions to it with intent for murder or suicide. Before the British Colombia lawsuit, the families of seven victims filed their own cases in California three months earlier. Their lawyers said 12 OpenAI employees urged the company to alert police. They alleged that OpenAI stayed silent because "reporting one case would mean reporting thousands", according to the lawsuit. "We will pursue every available avenue to hold OpenAI and its decision-makers accountable," BC Attorney General Sharma said in a statement issued by her office. Also read: Montreal shooter's 104-page manifesto reveals his hate for women and capitalism An apology from OpenAI CEO over the British Columbia shooting In April, OpenAI Chief Executive Officer Sam Altman published an apology letter in the local newspaper, saying he was "deeply sorry that we did not alert law enforcement" about the banned account. The company said it has strengthened its safeguards and maintains a zero-tolerance policy on the use of its tools for violence. It also said that, under guidelines updated after June 2025, the account would have been reported to law enforcement. Also read: Canada school shooter, Jesse Van Rootselaar, killed own mother who once called to end trans hate What comes next in the British Columbia mass shooting case against OpenAI? The province will seek damages, including the cost of building a new school. Jon Festinger of the University of British Columbia (UBC) Peter A. Allard School of Law said it would be a difficult claim, as BC would have to establish a direct causal link between OpenAI's conduct and the tragedy. The government "must be satisfying themselves that there's a sufficient causal chain", the Narcity website cited him as saying. https://www.wionews.com/videos/canada-shooting-at-least-10-dead-in-shootings-at-schools-house-1770788190832/embed British Columbia has pioneered similar litigation in the past. It successfully pursued legal action against tobacco companies, and its opioid lawsuit recently cleared key legal hurdles. The Canadian federal government has pledged C$200 million for a new high school and healthcare upgrades in Tumbler Ridge. A coroner's inquest will examine the deaths, as no criminal trial will take place because the alleged perpetrator is deceased, The Globe and Mail reported.

<p>British Columbia is preparing legal action against OpenAI over the Tumbler Ridge mass shooting. The suit alleges that the AI firm failed to alert police despite ChatGPT prompts linked to the shooter being flagged. This is a landmark case. Here is why</p>

AI and mass murder: Why British Columbia's lawsuit against OpenAI over the Tumbler Ridge shooting matters

<p>OpenAI has reportedly explored giving the US government a 5% ownership stake in the company as it prepares for a future public listing and faces growing political scrutiny over artificial intelligence. According to the Financial Times, the proposal has been discussed by OpenAI CEO Sam Altman with senior officials in the Trump administration, including President Donald Trump, Commerce Secretary Howard Lutnick and Treasury Secretary Scott Bessent. The discussions are still in the early stages, and no agreement has been reached. The proposal has attracted attention because it would represent a new way of linking AI development with public ownership.</p><h2><strong>Why is OpenAI discussing government ownership?</strong></h2><p>According to the report, OpenAI believes the public should directly benefit from the value created by artificial intelligence. The company has reportedly suggested that leading US AI developers could each contribute 5 per cent of their equity to a special investment vehicle. The idea is inspired by Alaska's Permanent Fund, which invests state oil revenues and distributes annual dividends to residents.Altman has previously argued that AI could create enormous economic value and that ordinary people should share in those gains rather than leaving them entirely with private investors.</p><h2><strong>Why now?</strong></h2><p>The discussions come as AI companies face increasing pressure from policymakers. Governments around the world are raising questions about the rapid expansion of AI, including concerns over massive data centre construction, electricity demand, job displacement, cybersecurity risks and the safety of increasingly powerful AI models.OpenAI is also preparing for a public listing while investing billions of dollars in AI infrastructure. Those rising costs have led some investors to question how quickly leading AI companies can become consistently profitable. The proposal is still only under discussion and would likely require approval from the US Congress before becoming reality. Separately, Trump said in June that he planned to meet major AI companies to discuss whether the government should hold ownership stakes in leading AI firms to help address public concerns about the technology. Altman has also proposed creating a US-led international AI forum involving governments and independent experts to establish safety standards, coordinate oversight and reduce pressure for companies to race ahead without sufficient safeguards. If such a model were ever adopted, it could represent one of the biggest changes yet in how advanced AI companies are governed. For now, however, the discussions remain exploratory, and OpenAI has not announced any formal decision.</p>

OpenAI has reportedly discussed giving the US government a 5% ownership stake as part of a broader proposal aimed at sharing AI's economic benefits and easing concerns over the rapid growth of artificial intelligence.

OpenAI has reportedly explored giving the US government a 5% ownership stake in the company as it prepares for a future public listing and faces growing political scrutiny over artificial intelligence. According to the Financial Times, the proposal has been discussed by OpenAI CEO Sam Altman with senior officials in the Trump administration, including President Donald Trump, Commerce Secretary Howard Lutnick and Treasury Secretary Scott Bessent. The discussions are still in the early stages, and no agreement has been reached. The proposal has attracted attention because it would represent a new way of linking AI development with public ownership. Why is OpenAI discussing government ownership? According to the report, OpenAI believes the public should directly benefit from the value created by artificial intelligence. The company has reportedly suggested that leading US AI developers could each contribute 5 per cent of their equity to a special investment vehicle. The idea is inspired by Alaska's Permanent Fund, which invests state oil revenues and distributes annual dividends to residents.Altman has previously argued that AI could create enormous economic value and that ordinary people should share in those gains rather than leaving them entirely with private investors. Why now? The discussions come as AI companies face increasing pressure from policymakers. Governments around the world are raising questions about the rapid expansion of AI, including concerns over massive data centre construction, electricity demand, job displacement, cybersecurity risks and the safety of increasingly powerful AI models.OpenAI is also preparing for a public listing while investing billions of dollars in AI infrastructure. Those rising costs have led some investors to question how quickly leading AI companies can become consistently profitable. The proposal is still only under discussion and would likely require approval from the US Congress before becoming reality. Separately, Trump said in June that he planned to meet major AI companies to discuss whether the government should hold ownership stakes in leading AI firms to help address public concerns about the technology. Altman has also proposed creating a US-led international AI forum involving governments and independent experts to establish safety standards, coordinate oversight and reduce pressure for companies to race ahead without sufficient safeguards. If such a model were ever adopted, it could represent one of the biggest changes yet in how advanced AI companies are governed. For now, however, the discussions remain exploratory, and OpenAI has not announced any formal decision.

<p>OpenAI has reportedly discussed giving the US government a 5% ownership stake as part of a broader proposal aimed at sharing AI's economic benefits and easing concerns over the rapid growth of artificial intelligence.</p>

OpenAI discussed giving US government a 5% stake: What it could mean for the future of AI

<p>OpenAI has proposed to hand over a 5 per cent stake of its company to the US government, reported Financial Times on Thursday, citing two people familiar with the “early conversation”. According to the reports, OpenAI has suggested that other AI companies hand over similar stakes in their firm to the Trump administration. OpenAI CEO Sam Altman has argued that the arrangement, would allow the American public to share the financial upside of the AI boom.&nbsp;</p><h2>What is the proposal?</h2><p>According to the reports, Sam Altman has urged that &nbsp;AI giants like Google, Meta, and Anthropic cede similar stakes to create a public investment vehicle like the Alaska Permanent Fund, paying annual dividends to citizens of the AI wealth. The discussions were held with President Donald Trump, Commerce Secretary Howard Lutnick, and Treasury Secretary Scott Bessent. He has also reportedly discussed with Democratic Senator Bernie Sanders. Though it remains uncertain if other AI giants are willing to participate in the exercise.</p><p><strong>Also Read:</strong> <a href="https://www.wionews.com/world/sanae-takaichi-india-visit-post-pacifist-japan-strategy-1782926340658">What is Sanae Takaichi's post-pacifist Japan, and why does India matter?</a></p><h2>What does it mean for AI giants?</h2><p>A 5 per cent stake of OpenAI could translate into roughly $42.6 billion, depending on the &nbsp;$852 billion valuation. This could reduce the potential threat and vulnerability of the public, which threatens jobs in many industries, has many wide ranging implication on the environment and national security. Both OpenAI and Anthropic are planning to go public as early as H2 2026.&nbsp;</p><p>Critics and policy experts have raised serious concerns about OpenAI's proposal, suggesting that it creates a massive conflict of interest as these AI giants are facing backlash over resource allocations like water and land consumption. The US government being part of these companies means it will effectively have to loosen policies to keep these companies profitable while enriching its public fund, which many analysts compare with the cheap purchase of political immunity.&nbsp;</p>

OpenAI has reportedly proposed handing a 5% stake to the US government and urged other AI companies to do the same. The idea is to create a public AI wealth fund that could pay citizens dividends, but critics warn it could create major conflicts of interest.

OpenAI has proposed to hand over a 5 per cent stake of its company to the US government, reported Financial Times on Thursday, citing two people familiar with the “early conversation”. According to the reports, OpenAI has suggested that other AI companies hand over similar stakes in their firm to the Trump administration. OpenAI CEO Sam Altman has argued that the arrangement, would allow the American public to share the financial upside of the AI boom. What is the proposal? According to the reports, Sam Altman has urged that AI giants like Google, Meta, and Anthropic cede similar stakes to create a public investment vehicle like the Alaska Permanent Fund, paying annual dividends to citizens of the AI wealth. The discussions were held with President Donald Trump, Commerce Secretary Howard Lutnick, and Treasury Secretary Scott Bessent. He has also reportedly discussed with Democratic Senator Bernie Sanders. Though it remains uncertain if other AI giants are willing to participate in the exercise. Also Read: What is Sanae Takaichi's post-pacifist Japan, and why does India matter? What does it mean for AI giants? A 5 per cent stake of OpenAI could translate into roughly $42.6 billion, depending on the $852 billion valuation. This could reduce the potential threat and vulnerability of the public, which threatens jobs in many industries, has many wide ranging implication on the environment and national security. Both OpenAI and Anthropic are planning to go public as early as H2 2026. Critics and policy experts have raised serious concerns about OpenAI's proposal, suggesting that it creates a massive conflict of interest as these AI giants are facing backlash over resource allocations like water and land consumption. The US government being part of these companies means it will effectively have to loosen policies to keep these companies profitable while enriching its public fund, which many analysts compare with the cheap purchase of political immunity.

<p>OpenAI has reportedly proposed handing a 5% stake to the US government and urged other AI companies to do the same. The idea is to create a public AI wealth fund that could pay citizens dividends, but critics warn it could create major conflicts of interest.</p>

OpenAI proposes 5% stake for US government: What Sam Altman's AI wealth fund plan means

<p>The US government on Tuesday (July 01) lifted export restrictions on Anthropic's most advanced artificial intelligence models, weeks after directing the company to limit access over national security concerns.</p><p>&nbsp;</p><p>Anthropic said that it will soon begin restoring global access to its flagship AI models, Fable 5 and Mythos 5, after the US government removed restrictions on where they could be released.</p><p>&nbsp;</p><p>Anthropic said access to the models would begin to return for users from Wednesday.</p><p>&nbsp;</p><p>The US government had ordered Anthropic to suspend access to the two advanced AI models on June 12 over concerns that advanced AI systems could potentially be misused by foreign military or intelligence agencies.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.<br><br>We&#39;ll begin restoring access tomorrow, and will share an update soon.<br><br>We’re grateful to our users for their patience, and to everyone who worked with us on…</p>&mdash; Anthropic (@AnthropicAI) <a href="https://x.com/AnthropicAI/status/2072106151890809341?ref_src=twsrc%5Etfw">June 30, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<p>OpenAI has also complied with requests from Washington by limiting the release of its latest model, GPT 5.6, to a select group of approved partners.</p><p>&nbsp;</p><p>Commenting on the move, OpenAI CEO Sam Altman said on X, "This isn't quite the process that we think is optimal," while explaining the launch of GPT 5.6.</p><p>&nbsp;</p><p><strong>Also Read: </strong><a href="https://www.wionews.com/world/trump-minted-over-1-billion-from-crypto-dealings-in-first-year-back-in-office-1782868287013"><strong>Trump minted over $1 billion from crypto dealings in first year back in office</strong></a></p><h2>CIA director compares advanced AI to nuclear weapons</h2><p>Earlier in the day, CIA Director John Ratcliffe compared the capabilities of the most advanced AI models to nuclear weapons, defending the Trump administration's tougher approach to controlling access to frontier AI technology.</p><p>&nbsp;</p><p>"In conversations with many of the president's other national security and economic security advisors, we're talking about the impact of these frontier AI models," Ratcliffe said during a speech at the AWS Summit in Washington.</p><p>&nbsp;</p><p>"It would be... not misplaced to refer to their capabilities as akin to digital nuclear weapons," Ratcliffe said.</p><p>&nbsp;</p><p>Earlier, President Donald Trump signed an executive order establishing a voluntary federal review of national security risks in advanced AI models before their public release.</p><p>&nbsp;</p><p>White House Chief of Staff Susie Wiles also thanked technology companies for cooperating with the administration's AI policies.</p><p>&nbsp;</p><p>"My gratitude to companies across industries who continue to work closely with the White House to implement the President’s" executive order on AI and cybersecurity, Wiles said. "This includes excellent work around advanced model access, guardrail testing, and security."</p>

The US government suspended access to the two AI models on June 12 after identifying safeguard vulnerabilities and raising concerns that they could be misused by foreign military or intelligence agencies.


The US government on Tuesday (July 01) lifted export restrictions on Anthropic's most advanced artificial intelligence models, weeks after directing the company to limit access over national security concerns. Anthropic said that it will soon begin restoring global access to its flagship AI models, Fable 5 and Mythos 5, after the US government removed restrictions on where they could be released. Anthropic said access to the models would begin to return for users from Wednesday. The US government had ordered Anthropic to suspend access to the two advanced AI models on June 12 over concerns that advanced AI systems could potentially be misused by foreign military or intelligence agencies.

<p>The US government suspended access to the two AI models on June 12 after identifying safeguard vulnerabilities and raising concerns that they could be misused by foreign military or intelligence agencies.</p>

US lifts export curbs on Anthropic's most powerful AI models, Fable 5 and Mythos 5

<p>The artificial intelligence boom is entering a new phase. OpenAI has confidentially filed for a US initial public offering (IPO), marking a major milestone for one of the world's most influential AI firms. The filing comes just days after rival Anthropic, the company behind Claude AI, also began preparations for a public market debut. Together with SpaceX, the three companies could test investor appetite for some of the largest technology listings in modern history.</p><p>&nbsp;</p><p>While OpenAI did not reveal the size or timing of the offering, reports suggest the company could target a valuation of up to $1 trillion. If achieved, it would place OpenAI among the most valuable technology companies ever to enter public markets.</p><h2><strong>Why OpenAI's IPO is attracting global attention</strong></h2><p>OpenAI has become one of the defining companies of the artificial intelligence era. Since launching ChatGPT in late 2022, the company has played a central role in bringing generative AI into mainstream use. Businesses, students, developers and consumers now use AI tools for everything from writing and coding to research and customer service. According to information shared during recent fundraising discussions, OpenAI has more than 900 million weekly active ChatGPT users and over 50 million paying consumer subscribers worldwide. The company also reported generating approximately $2 billion in monthly revenue earlier this year.</p><p>&nbsp;</p><p>Those numbers have helped fuel investor enthusiasm and explain why OpenAI's potential IPO is being viewed as one of the most significant technology offerings of the decade.</p><h2><strong>Anthropic and SpaceX are also heading to public markets</strong></h2><p>OpenAI is not alone. Anthropic, one of OpenAI's biggest competitors, recently filed confidentially for its own IPO. The company was recently valued at approximately $965 billion after a major funding round and has seen growing demand for products such as Claude AI and Claude Code. Meanwhile, Elon Musk's SpaceX has already filed for a public offering that could value the company at around $1.75 trillion. Reports suggest the offering could raise as much as $75 billion, potentially making it the largest IPO in history.</p><p>&nbsp;</p><p>Together, these listings represent a major test for public markets and could shape investor sentiment towards technology and artificial intelligence companies for years to come. The AI era is becoming a major investment theme. Artificial intelligence has rapidly become one of the most important investment themes globally. Over the past three years, companies developing advanced AI systems have attracted hundreds of billions of dollars in investment. Investors believe AI could transform industries including healthcare, education, finance, manufacturing, cybersecurity and software development.</p><h2><strong>OpenAI's rapid growth has become one of the strongest examples of that trend</strong></h2><p>The company reportedly raised funding earlier this year at a valuation of around $840 billion from investors including SoftBank, Amazon and Nvidia. Its growth rate has also drawn attention, with reports suggesting revenue has expanded much faster than many technology giants did during their early years.</p><p>&nbsp;</p><p>OpenAI still faces challenges<br>Despite its growth, OpenAI faces several challenges.</p><p>&nbsp;</p><p>The company has reportedly told investors that it does not expect to become profitable until 2030. Developing and operating advanced AI systems requires enormous investments in computing infrastructure, data centres and specialised AI chips.</p><h2><strong>Competition is also increasing</strong></h2><p>Anthropic continues to gain momentum with its Claude family of models, while Google, Meta, Microsoft, Amazon and other firms continue investing heavily in AI research and development. Investors are increasingly asking whether AI companies can maintain rapid innovation while also building sustainable businesses.</p><p>&nbsp;</p><h2><strong>Why investors are watching model progress closely</strong></h2><p>According to analysts, one of the key factors influencing future valuations will be innovation. The value of companies such as OpenAI and Anthropic depends heavily on their ability to continue improving AI capabilities. If technological progress slows significantly, investors may begin questioning the high valuations assigned to AI firms. So far, however, there is little evidence of a slowdown. New models continue to improve reasoning, coding, search, cybersecurity and multimodal capabilities at a rapid pace, keeping investor interest high.</p><p>&nbsp;</p><h2><strong>OpenAI's unusual structure remains under scrutiny</strong></h2><p><br>Another factor attracting attention is OpenAI's corporate structure.</p><p>The company began in 2015 as a nonprofit research organisation before creating a for-profit arm in 2019 to raise the capital needed for AI development. That structure has remained a subject of debate, particularly after the brief removal and return of CEO Sam Altman in late 2023. In recent years, OpenAI has moved towards a public benefit corporation structure to support future fundraising while maintaining aspects of its original mission. The issue also became part of a legal dispute with Elon Musk, who accused the company of moving away from its founding goals. A US jury ultimately ruled in favour of OpenAI earlier this year.</p>

OpenAI files for IPO as AI boom enters new phase. With Anthropic and SpaceX also preparing listings, trillion-dollar valuations and rapid growth are driving investor interest while raising questions about profitability and long-term sustainability.

The artificial intelligence boom is entering a new phase. OpenAI has confidentially filed for a US initial public offering (IPO), marking a major milestone for one of the world's most influential AI firms. The filing comes just days after rival Anthropic, the company behind Claude AI, also began preparations for a public market debut. Together with SpaceX, the three companies could test investor appetite for some of the largest technology listings in modern history. While OpenAI did not reveal the size or timing of the offering, reports suggest the company could target a valuation of up to $1 trillion. If achieved, it would place OpenAI among the most valuable technology companies ever to enter public markets. Why OpenAI's IPO is attracting global attention OpenAI has become one of the defining companies of the artificial intelligence era. Since launching ChatGPT in late 2022, the company has played a central role in bringing generative AI into mainstream use. Businesses, students, developers and consumers now use AI tools for everything from writing and coding to research and customer service. According to information shared during recent fundraising discussions, OpenAI has more than 900 million weekly active ChatGPT users and over 50 million paying consumer subscribers worldwide. The company also reported generating approximately $2 billion in monthly revenue earlier this year. Those numbers have helped fuel investor enthusiasm and explain why OpenAI's potential IPO is being viewed as one of the most significant technology offerings of the decade. Anthropic and SpaceX are also heading to public markets OpenAI is not alone. Anthropic, one of OpenAI's biggest competitors, recently filed confidentially for its own IPO. The company was recently valued at approximately $965 billion after a major funding round and has seen growing demand for products such as Claude AI and Claude Code. Meanwhile, Elon Musk's SpaceX has already filed for a public offering that could value the company at around $1.75 trillion. Reports suggest the offering could raise as much as $75 billion, potentially making it the largest IPO in history. Together, these listings represent a major test for public markets and could shape investor sentiment towards technology and artificial intelligence companies for years to come. The AI era is becoming a major investment theme. Artificial intelligence has rapidly become one of the most important investment themes globally. Over the past three years, companies developing advanced AI systems have attracted hundreds of billions of dollars in investment. Investors believe AI could transform industries including healthcare, education, finance, manufacturing, cybersecurity and software development. OpenAI's rapid growth has become one of the strongest examples of that trend The company reportedly raised funding earlier this year at a valuation of around $840 billion from investors including SoftBank, Amazon and Nvidia. Its growth rate has also drawn attention, with reports suggesting revenue has expanded much faster than many technology giants did during their early years. OpenAI still faces challenges Despite its growth, OpenAI faces several challenges. The company has reportedly told investors that it does not expect to become profitable until 2030. Developing and operating advanced AI systems requires enormous investments in computing infrastructure, data centres and specialised AI chips. Competition is also increasing Anthropic continues to gain momentum with its Claude family of models, while Google, Meta, Microsoft, Amazon and other firms continue investing heavily in AI research and development. Investors are increasingly asking whether AI companies can maintain rapid innovation while also building sustainable businesses. Why investors are watching model progress closely According to analysts, one of the key factors influencing future valuations will be innovation. The value of companies such as OpenAI and Anthropic depends heavily on their ability to continue improving AI capabilities. If technological progress slows significantly, investors may begin questioning the high valuations assigned to AI firms. So far, however, there is little evidence of a slowdown. New models continue to improve reasoning, coding, search, cybersecurity and multimodal capabilities at a rapid pace, keeping investor interest high. OpenAI's unusual structure remains under scrutiny Another factor attracting attention is OpenAI's corporate structure. The company began in 2015 as a nonprofit research organisation before creating a for-profit arm in 2019 to raise the capital needed for AI development. That structure has remained a subject of debate, particularly after the brief removal and return of CEO Sam Altman in late 2023. In recent years, OpenAI has moved towards a public benefit corporation structure to support future fundraising while maintaining aspects of its original mission. The issue also became part of a legal dispute with Elon Musk, who accused the company of moving away from its founding goals. A US jury ultimately ruled in favour of OpenAI earlier this year.

<p>OpenAI files for IPO as AI boom enters new phase. With Anthropic and SpaceX also preparing listings, trillion-dollar valuations and rapid growth are driving investor interest while raising questions about profitability and long-term sustainability.</p>

The AI IPO wave is here: OpenAI files confidentially for an IPO after Anthropic

OpenAI has introduced Lockdown Mode, a new security feature designed to reduce the risk of prompt injection attacks in ChatGPT. The setting disables several internet-connected capabilities, including live web browsing and deep research, offering additional safeguards for users and organisations working with sensitive information.


OpenAI Introduces New Security Feature

<p>OpenAI, the AI firm behind the popular chatbot ChatGPT, is reportedly planning a superapp. While Sam Altman-led OpenAI is yet to make any formal statement, the super app has been in discussions ahead of the company's stock market debut.</p><h2>OpenAI superapp: What reports are saying</h2><p>According to reports in Financial Tims and other outlets, OpenAI is merging ChatGPT, Codex, and its browser into one desktop superapp. The aim is to turn ChatGPT from a standard question-and-answer chatbot into a comprehensive superapp. The FT report cited sources as saying that the future of AI belongs to autonomous agents capable of executing complex, multi-step tasks like &nbsp;booking flight tickets or managing calendars, &nbsp;rather than simply answering queries.</p><p>Also read: <a href="https://www.wionews.com/world/openai-ceo-seeks-expanded-ai-testing-rejects-pre-release-government-approval-rules-1780553999229">OpenAI CEO seeks expanded AI testing, rejects pre-release government approval rules</a></p><h2>OpenAI superapp will have coding tools front and centre</h2><p>The overhaul, expected to roll out in the coming weeks, will give prominence and resources to OpenAI's coding product Codex. The offerings will initially appear as updates to ChatGPT's website and mobile apps. Codex active user base increased sixfold to more than 5 million weekly since launch, and most are paying users.&nbsp;</p><p><a href="https://www.wionews.com/videos/florida-sues-openai-over-alleged-chatgpt-risks-safety-concerns-1780387002286/embed">https://www.wionews.com/videos/florida-sues-openai-over-alleged-chatgpt-risks-safety-concerns-1780387002286/embed</a></p><h2>OpenAI interface redesign to funnel users toward new capabilities</h2><p>OpenAI is redesigning ChatGPT's interface with new prompts and features steering users toward coding tools, image generation and partner services such as Canva and Booking.com. The partner integrations - &nbsp;apps built by third parties living inside ChatGPT, similar to the Google Play Store ecosystem - are the most "superapp-like" element. The experience might be similar to the Chinese WeChat, where one app hosts many services. OpenAI agents will deploy for multi-step task execution.</p><p>Also read: <a href="https://www.wionews.com/world/trump-administration-government-stake-openai-sam-altman-1780749692161">Trump administration explores potential government stake in OpenAI</a></p><h2>OpenAI is still not revealing much about superapp plans</h2><p>OpenAI had confirmed the superapp reports back in March, but only in broad strokes. ChatGPT currently has around 900 million weekly active users. OpenAI surpassed 50 million consumer subscribers earlier this year, with 2 million business customers accounting for roughly 40 per cent of revenue, which might rise to 50 per cent by year-end.</p><p>Some reports claimed that the superapp could launch as early as this week, and talked about a developer portal called "Aria Hub." Hardware and software requirements include Windows 11 24H2 and NPU acceleration, according to these uncorroborated reports.&nbsp;</p><p>While the reports are not confirmed, the direction appears to be an enterprise product competition between OpenAI and Anthropic as both AI firms head for IPOs.</p>

OpenAI is reportedly developing a superapp that combines Codex, browser features, AI agents, image generation and third-party app integrations. The AI firm is not revealing much, but it's a play ahead of is upcoming IPO.

OpenAI, the AI firm behind the popular chatbot ChatGPT, is reportedly planning a superapp. While Sam Altman-led OpenAI is yet to make any formal statement, the super app has been in discussions ahead of the company's stock market debut. OpenAI superapp: What reports are saying According to reports in Financial Tims and other outlets, OpenAI is merging ChatGPT, Codex, and its browser into one desktop superapp. The aim is to turn ChatGPT from a standard question-and-answer chatbot into a comprehensive superapp. The FT report cited sources as saying that the future of AI belongs to autonomous agents capable of executing complex, multi-step tasks like booking flight tickets or managing calendars, rather than simply answering queries. Also read: OpenAI CEO seeks expanded AI testing, rejects pre-release government approval rules OpenAI superapp will have coding tools front and centre The overhaul, expected to roll out in the coming weeks, will give prominence and resources to OpenAI's coding product Codex. The offerings will initially appear as updates to ChatGPT's website and mobile apps. Codex active user base increased sixfold to more than 5 million weekly since launch, and most are paying users. https://www.wionews.com/videos/florida-sues-openai-over-alleged-chatgpt-risks-safety-concerns-1780387002286/embed OpenAI interface redesign to funnel users toward new capabilities OpenAI is redesigning ChatGPT's interface with new prompts and features steering users toward coding tools, image generation and partner services such as Canva and Booking.com. The partner integrations - apps built by third parties living inside ChatGPT, similar to the Google Play Store ecosystem - are the most "superapp-like" element. The experience might be similar to the Chinese WeChat, where one app hosts many services. OpenAI agents will deploy for multi-step task execution. Also read: Trump administration explores potential government stake in OpenAI OpenAI is still not revealing much about superapp plans OpenAI had confirmed the superapp reports back in March, but only in broad strokes. ChatGPT currently has around 900 million weekly active users. OpenAI surpassed 50 million consumer subscribers earlier this year, with 2 million business customers accounting for roughly 40 per cent of revenue, which might rise to 50 per cent by year-end. Some reports claimed that the superapp could launch as early as this week, and talked about a developer portal called "Aria Hub." Hardware and software requirements include Windows 11 24H2 and NPU acceleration, according to these uncorroborated reports. While the reports are not confirmed, the direction appears to be an enterprise product competition between OpenAI and Anthropic as both AI firms head for IPOs.

<p>OpenAI is reportedly developing a superapp that combines Codex, browser features, AI agents, image generation and third-party app integrations. The AI firm is not revealing much, but it's a play ahead of is upcoming IPO.</p>

OpenAI is planning a superapp ahead of IPO. What reports are claiming

<p>OpenAI CEO Sam Altman is expected to oppose proposals requiring AI developers to secure US government approval before making new AI models publicly available, according to a company statement released on Wednesday. The move is part of OpenAI's wider push to shape the regulation of future technology.</p><p><br>During his visit to Washington this week, Altman will also urge Congress to increase funding for artificial intelligence testing at the US Department of Commerce. The department currently collaborates with firms such as OpenAI and Anthropic to evaluate the capabilities and risks of their AI systems.</p><p><br>OpenAI said it wants the federal government to expand these testing efforts and bring in additional experts in areas including cybersecurity, biological threats and national security to strengthen oversight and safety assessments.</p><p>&nbsp;</p><p><strong>Also read: </strong><a href="https://www.wionews.com/world/who-was-anthony-scott-searles-harris-all-we-know-about-bakersfield-bank-hostage-suspect-1780544751122">Who was Anthony Scott Searles-Harris? All we know about Bakersfield bank hostage suspect</a></p><h3>OpenAI and Anthropic's US IPO</h3><p>Altman's visit to Washington collides with a crucial period for the company and the industry as OpenAI is preparing to quietly register for an initial public offering. In the other development, OpenAI's competitor Anthropic, which makes Claude, confidentially registered for a US IPO on Monday.</p><p><br>The requirements of the federal government might hurt the profits of industry if they slow down the introduction of new models or prompt the companies to change how their products work to solve security concerns.</p><p><br>Altman is expected to hold talks with several lawmakers on Wednesday, including House Speaker Mike Johnson, a Republican representing Louisiana, according to the Speaker’s office. The White House under President Donald Trump did not immediately respond to requests seeking comment on whether any meetings had been scheduled.</p>

The requirements of the federal government might hurt the profits of industry if they slow down the introduction of new models or prompt the companies to change how their products work to solve security concerns.

OpenAI CEO Sam Altman is expected to oppose proposals requiring AI developers to secure US government approval before making new AI models publicly available, according to a company statement released on Wednesday. The move is part of OpenAI's wider push to shape the regulation of future technology. During his visit to Washington this week, Altman will also urge Congress to increase funding for artificial intelligence testing at the US Department of Commerce. The department currently collaborates with firms such as OpenAI and Anthropic to evaluate the capabilities and risks of their AI systems. OpenAI said it wants the federal government to expand these testing efforts and bring in additional experts in areas including cybersecurity, biological threats and national security to strengthen oversight and safety assessments. Also read: Who was Anthony Scott Searles-Harris? All we know about Bakersfield bank hostage suspect OpenAI and Anthropic's US IPO Altman's visit to Washington collides with a crucial period for the company and the industry as OpenAI is preparing to quietly register for an initial public offering. In the other development, OpenAI's competitor Anthropic, which makes Claude, confidentially registered for a US IPO on Monday. The requirements of the federal government might hurt the profits of industry if they slow down the introduction of new models or prompt the companies to change how their products work to solve security concerns. Altman is expected to hold talks with several lawmakers on Wednesday, including House Speaker Mike Johnson, a Republican representing Louisiana, according to the Speaker’s office. The White House under President Donald Trump did not immediately respond to requests seeking comment on whether any meetings had been scheduled.

<p>The requirements of the federal government might hurt the profits of industry if they slow down the introduction of new models or prompt the companies to change how their products work to solve security concerns.</p>

OpenAI CEO seeks expanded AI testing, rejects pre-release government approval rules

The race to dominate artificial intelligence is accelerating as leading AI companies pursue massive growth and investor interest. Reports suggest Anthropic is exploring an initial public offering, potentially reaching Wall Street before OpenAI. The development has reignited debate over whether the AI sector is experiencing a transformative technological breakthrough or a market bubble fueled by hype and investment. As billions continue to flow into AI, the industry is increasingly being viewed as the next major battleground in global technology.

Reports: Anthropic Eyes Wall Street Debut With IPO Plan

Florida has reportedly filed a lawsuit against OpenAI, raising concerns over alleged risks linked to ChatGPT and generative AI systems.
The legal action focuses on issues including misinformation, user safety, privacy, and potential societal harm from AI tools.


Florida Sues OpenAI Over ChatGPT Risks; State Names Sam Altman in Lawsuit

<p>India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem.</p><p>According to OpenAI, weekly active Codex users in India have increased 27 times since the beginning of 2026, while daily interactions with the platform have grown more than 20-fold. The company shared the figures during Mumbai Tech Week, pointing to growing demand for AI tools among developers, startups, students and businesses. The latest data suggests that India is no longer just a major consumer of digital technology but is increasingly becoming an important market for advanced AI adoption.</p><h2><strong>India enters OpenAI's top markets for Codex</strong></h2><p>OpenAI said India now ranks among its top five countries globally for Codex adoption. The country is also among the top ten markets worldwide for user engagement on the platform. The figures underline the speed at which AI tools are being integrated into daily work across sectors. Thomas Jeng, OpenAI's Head of Startups for Asia-Pacific, said the growth is not limited to software engineers.</p><p>"What’s exciting about India is that adoption is not just happening among software engineers. We’re seeing founders, operators, researchers, students and business teams increasingly use Codex to turn ideas into working outcomes faster," he said. According to OpenAI, India's strong developer ecosystem and growing startup culture are helping drive the rapid increase in usage.</p><h2><strong>Codex is now being used for more than coding</strong></h2><p>Although Codex was originally designed as an AI coding assistant, OpenAI says Indian users are increasingly using it for tasks beyond software development. The company revealed that more than 25 per cent of Codex requests from India are now related to non-coding activities.</p><p>These include:</p><p>Research and information gathering</p><p>Drafting documents and reports</p><p>Workflow automation</p><p>Communication management</p><p>Organising business processes</p><p>The shift reflects a broader trend across the AI industry, where users are increasingly treating AI tools as productivity assistants rather than specialised coding software. Industry experts say businesses are beginning to explore how AI can support a wide range of tasks across operations, marketing, research and administration.</p><h2><strong>India's developer ecosystem continues to stand out</strong></h2><p>OpenAI's latest findings build on data from its earlier OpenAI Signals report released in February. According to the company, coding-related usage of Codex in India was approximately three times higher than the global average. Coding queries from Indian users were also around three times the global median. These figures highlight India's position as one of the world's largest developer communities. The country produces hundreds of thousands of engineering graduates every year and has become a major hub for software development, technology services and startup innovation. OpenAI believes this foundation is helping accelerate the adoption of advanced AI tools such as Codex.</p><h2><strong>Startups and enterprises are driving adoption</strong></h2><p>Beyond individual users, businesses are also increasing their use of AI-powered software development tools. OpenAI said growing enterprise interest is contributing to Codex adoption across India. Companies are increasingly exploring AI systems to improve software development, automate repetitive work and increase productivity.</p><p>The company has previously announced collaborations involving Codex with major Indian firms including Tata Consultancy Services, Infosys and Razorpay. These partnerships focus on software engineering support, workflow automation and enterprise productivity applications.</p><h2><strong>What does this mean for India's AI future?</strong></h2><p>The rapid growth of Codex usage reflects a larger shift taking place across India's technology landscape. While developers remain an important user group, AI tools are increasingly being adopted by founders, students, researchers, business operators and professionals across different industries.</p><p>Many organisations are now viewing AI as a productivity tool that can help accelerate work, reduce repetitive tasks and support decision-making. OpenAI believes India's combination of technical talent, startup activity and digital adoption makes it one of the most important markets for future AI growth.</p>

India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem.


India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem. According to OpenAI, weekly active Codex users in India have increased 27 times since the beginning of 2026, while daily interactions with the platform have grown more than 20-fold. The company shared the figures during Mumbai Tech Week, pointing to growing demand for AI tools among developers, startups, students and businesses. The latest data suggests that India is no longer just a major consumer of digital technology but is increasingly becoming an important market for advanced AI adoption. India enters OpenAI's top markets for Codex OpenAI said India now ranks among its top five countries globally for Codex adoption. The country is also among the top ten markets worldwide for user engagement on the platform. The figures underline the speed at which AI tools are being integrated into daily work across sectors. Thomas Jeng, OpenAI's Head of Startups for Asia-Pacific, said the growth is not limited to software engineers. "What’s exciting about India is that adoption is not just happening among software engineers. We’re seeing founders, operators, researchers, students and business teams increasingly use Codex to turn ideas into working outcomes faster," he said. According to OpenAI, India's strong developer ecosystem and growing startup culture are helping drive the rapid increase in usage. Codex is now being used for more than coding Although Codex was originally designed as an AI coding assistant, OpenAI says Indian users are increasingly using it for tasks beyond software development. The company revealed that more than 25 per cent of Codex requests from India are now related to non-coding activities. These include: Research and information gathering Drafting documents and reports Workflow automation Communication management Organising business processes The shift reflects a broader trend across the AI industry, where users are increasingly treating AI tools as productivity assistants rather than specialised coding software. Industry experts say businesses are beginning to explore how AI can support a wide range of tasks across operations, marketing, research and administration. India's developer ecosystem continues to stand out OpenAI's latest findings build on data from its earlier OpenAI Signals report released in February. According to the company, coding-related usage of Codex in India was approximately three times higher than the global average. Coding queries from Indian users were also around three times the global median. These figures highlight India's position as one of the world's largest developer communities. The country produces hundreds of thousands of engineering graduates every year and has become a major hub for software development, technology services and startup innovation. OpenAI believes this foundation is helping accelerate the adoption of advanced AI tools such as Codex. Startups and enterprises are driving adoption Beyond individual users, businesses are also increasing their use of AI-powered software development tools. OpenAI said growing enterprise interest is contributing to Codex adoption across India. Companies are increasingly exploring AI systems to improve software development, automate repetitive work and increase productivity. The company has previously announced collaborations involving Codex with major Indian firms including Tata Consultancy Services, Infosys and Razorpay. These partnerships focus on software engineering support, workflow automation and enterprise productivity applications. What does this mean for India's AI future? The rapid growth of Codex usage reflects a larger shift taking place across India's technology landscape. While developers remain an important user group, AI tools are increasingly being adopted by founders, students, researchers, business operators and professionals across different industries. Many organisations are now viewing AI as a productivity tool that can help accelerate work, reduce repetitive tasks and support decision-making. OpenAI believes India's combination of technical talent, startup activity and digital adoption makes it one of the most important markets for future AI growth.

<p>India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem.</p>

‘India's AI boom’: OpenAI reports 27-fold growth in Codex users

<p>Recent comments by some Big Tech top brass on Artificial Intelligence adoption are providing a reality check moment: Is AI adoption really helping companies cut costs, bring in efficient processes, and improve bottom lines? The ‘token burn rate’ of AI tools — particularly agentic AI models like Claude — is rising faster than the return on investment (ROI) for the firms using AI. In simplest terms, tokens are the total input-output measurement of computing required to answer your queries, prompts, or chats with an AI interface. OpenAI CEO Sam Altman has admitted that the “job apocalypse” that he and many other AI advocates predicted is not happening as fast as he thought. Why is AI still not able to bring the expected rewards for companies that adopted it? Why are firms like Starbucks re-hiring humans after having adopted or integrated AI into their workflows?</p><h2>AI adoption meets reality</h2><p>After a couple of years of hype, enterprise AI adoption is entering a more sceptical and realistic phase. Companies that adopted AI saw an explosion in token consumption, the main criterion used by AI tools for billing. But firms like Uber are now realising that this is not translating into productivity gains, shipped features, or workforce reductions. Some are now asking the question: Is AI spending economically justified as a cost-cutting and productivity-increasing measure? Some are realising that the “AI apocalypse” may arrive much before the long-predicted jobs apocalypse, because AI stocks could fall if adoption is not in tandem with the billions of dollars spent on computing power to answer user queries.</p><h2>Uber president’s warning: Astronomical token growth meets unclear business value</h2><p>Uber President and COO Andrew Macdonald recently said AI investments are becoming “harder to justify”, as companies cannot yet connect rising AI usage to concrete business outcomes. Speaking on the <i>Rapid Response</i> podcast, Macdonald talked of a widening gap between AI-assisted coding activity and actual delivered value. “You talk to your senior engineering leaders, and you’re saying, ‘Okay, how many projects that were on the cutting room floor got moved above the line because of the productivity gains, because 25 per cent of our code commits were via Claude Code last quarter?’ That link is not there yet,” he said. “If you’re not actually able to draw a direct line to how much useful features and functionality you’re shipping to your users, that trade becomes harder to justify.”</p><p>Macdonald noted that token usage and AI-generated code commits are going up “in a really astronomical direction”. Yet Uber still struggles to tie those metrics to measurable gains in productivity, feature delivery, or user outcomes, he said.</p><h2>Firms are burning through their AI budgets but have little to show for productivity or cost gains</h2><p>Uber reportedly exhausted its entire 2026 AI coding tools budget within roughly four months because of extremely high employee adoption — around 95 per cent in some teams. This means that, when given a chance, employees would use AI for most of their tasks, driving up the costs. In Uber’s case, the AI budget costs were partially offset by reduced hiring of humans.</p><p>Macdonald’s reality check came weeks after his own company’s CEO, Dara Khosrowshahi, talked of AI as a way to dramatically increase throughput. Uber was targeting between 20 and 100 per cent productivity gains per employee while slowing down hiring. But that doesn't seem to be happening.</p><h2>The basic problem with enterprise AI: Usage is easy to measure, but value gains are not</h2><p>Macdonald’s remarks are an example of growing doubts across several AI-user industries about whether spending on AI is generating returns on investment fast enough. AI coding tools are usage-based systems where costs rise as usage increases. Those using AI — such as developers — consume more tokens very quickly.</p><p>AI token costing is different from traditional software licences. The costs can rise exponentially, particularly with agentic workflows and large-context usage. Companies can easily measure and track token counts, code generation volume, AI-assisted commits, or tool adoption rates. But in many cases, this is not going hand in hand with increases in shipped features, faster delivery cycles, better products, or higher revenue.</p><h2>Some firms are moving from ‘AI pilot project’ hype to more disciplined use of AI: Enter the token throttling era</h2><p>Several enterprises expected that AI would help cut down large engineering teams while producing equal or greater output, but they are unable to prove this in real life. The causes are many: AI integration challenges, organisational friction, and quality issues that require human testing, monitoring, and control.</p><p>Reports indicate that some of these companies are now transitioning from the exuberant “pilot and hype” phase of AI adoption to a more financially disciplined era focused on accountability. Both AI providers and companies that adopt AI are increasingly relying on “token throttling”: &nbsp;methods by which caps are introduced on how many tokens users or teams can consume within specific time windows.</p><p>AI providers such as Anthropic and OpenAI use throttling to manage GPU capacity and stabilise services in order to limit queues and “Too Many Requests” errors. They are trying to ensure fair access and control compute costs. Limits include tokens-per-minute caps, rolling usage windows, weekly caps, and peak-hour restrictions.</p><p>On the other hand, companies using AI tools are also implementing their own throttling systems and governance policies to prevent uncontrolled spending from heavy users or autonomous coding agents. These controls reflect how quickly costs can spiral in AI workflows, particularly agentic coding systems that repeatedly process large codebases and contexts.</p><h2>How much are companies spending on AI tokens?</h2><p>It depends on usage intensity, which AI models are used, and how much automation is introduced using AI. Anthropic, the firm behind Claude, estimates that average Claude Code usage costs roughly $6 per active developer per day. It said that 90 per cent of users stay below $12 daily. This translates to approximately $100–$250 per developer per month for moderate-to-heavy usage. For context, Anthropic’s enterprise plans roughly cost $200 for coding workflows of power users, around $85 for typical users, and $25 for light users per month. But all this depends on a specific company’s usage patterns. One company with 100 engineers might spend only about $2,500 monthly overall, while extreme outliers can consume $500–$1,400 worth of tokens in a single day when running agentic workflows with massive contexts.</p><p>Some startups have reportedly seen AI spending grow 15 times within months, jumping from roughly $200 per developer monthly to nearly $3,000 as adoption deepened and workflows became more AI-dependent.</p><p>This is why human governance, throttling, and budget controls are becoming standard enterprise practices.</p><h2>Claude vs OpenAI: The pricing arms race</h2><p>Token costs are central to enterprise budgeting for AI adoption. In flagship models, Anthropic’s Claude Opus 4.7 charges approximately $5 per million input tokens and $25 per million output tokens. Note that one million input tokens are roughly equal to 750,000 words. Output tokens are charged at a higher rate than input tokens.</p><p>OpenAI’s GPT-5.5 is priced at around $5 input and $30 output. Anthropic is therefore slightly cheaper for high-end, output-heavy workloads. Most coding and production use of AI is happening in the mid-tier market. Here, OpenAI is generally cheaper. Claude Sonnet 4.6 costs roughly $3 input and $15 output per million tokens, while OpenAI’s GPT-5.4 costs about $2.50 input and $15 output. OpenAI’s GPT-5.4 Mini is significantly cheaper at $0.75 input and $4.50 output. At the budget tier, OpenAI has a stronger cost advantage. GPT-5.4 Nano costs around $0.20 input and $1.25 output per million tokens, while Claude Haiku 4.5 costs roughly $1 input and $5 output.</p><p>But remember, you get what you pay for.</p><p><a href="https://www.wionews.com/videos/us-iran-war-military-operations-used-anthropic-ai-despite-white-house-ban-1772367271311/embed">https://www.wionews.com/videos/us-iran-war-military-operations-used-anthropic-ai-despite-white-house-ban-1772367271311/embed</a></p><h2>Enterprises are rethinking AI deployment versus human engineers</h2><p>It is emerging that heavy AI coding usage could end up costing more than simply paying human engineers. Businesses are looking at cost-cutting methods while adopting AI. They often mix AI providers depending on the workload. Claude is popular for coding, reasoning, and long-context tasks despite higher costs, while OpenAI is frequently favoured for broader cost efficiency. Regardless of the AI provider, real-world developer costs commonly remain in the $100 to $400 monthly range for serious AI-assisted engineering work. The cost differential is leading some companies to mix and match AI and humans.&nbsp;</p><p>Microsoft, which gave thousands of engineers access to Anthropic’s Claude Code in late 2025, saw AI usage costs rise so sharply that it started cancelling many direct Claude licences in divisions like Experiences &amp; Devices. The company is shifting employees towards its own cheaper tool, GitHub Copilot CLI, mainly to control token spending.</p><p>Starbucks, which rolled out its AI inventory system called “Automated Counting” across North American stores to reduce manual work and improve efficiency, had to shut it down after nine months. The AI system frequently made mistakes, often miscounting or mislabelling items like milk and syrups, forcing employees to spend extra time double-checking inventory manually. In this case, instead of saving labour, the AI tool created additional work and operational problems. Starbucks has since shifted focus back towards consistency and human staffing, including hiring more baristas.</p><p>Companies like Meta and Amazon encouraged heavy internal AI use, but are finding out now that newer agentic AI systems consume vastly more computing power than normal chatbot use. In some cases, agentic workflows can use up to 1,000 times more tokens than standard AI queries, leading to increase in AI bills faster than companies can measure real productivity gains.</p><h2>A reality check from OpenAI CEO: Sam Altman admits the jobs apocalypse hasn’t arrived</h2><p>It is in this context that we have to read Sam Altman’s recent comments acknowledging that AI has displaced far fewer jobs than he and other AI evangelists expected just one or two years ago. The OpenAI CEO said at the Commonwealth Bank of Australia conference that he was “delighted to be wrong” about the pace of white-collar job elimination. “I thought there would have been more impact on entry-level white-collar jobs being eliminated by now than has actually happened.”</p><p>He said OpenAI had been “roughly right” about technological progress, but “pretty wrong” about the social and economic implications. “I don’t think we’re going to have the kind of jobs apocalypse that some of the companies in our space advocate or talk about.”</p><p>Also read: <a href="https://www.wionews.com/photos/anthropic-blocks-entire-company-out-of-claude-without-a-reasonable-explanation-1776854687090">Anthropic blocks entire company out of Claude without a reasonable explanation</a></p><h2>Why AI adoption isn’t translating into mass job cuts</h2><p>Altman thinks the slower-than-expected displacement is due to the enduring importance of human interaction, organisational inertia, and the complexities of AI integration into workflows. Acknowledging the persistent “human part” of work, he said, “We really do care about our interactions with people.” People still value trust, judgement, relationships, and authentic communication, he noted, while sharing how his own attempts to outsource his email and Slack communications to AI made him realise that meaningful interactions could not simply be automated away.</p><h2>Why enterprises will move only slowly on AI adoption</h2><p>Even when AI systems are technically far more capable, organisations face institutional friction, risk aversion, AI integration challenges, oversight requirements, and structural complexity that delay real transformation. This leads to a paradoxical situation: AI adoption and token usage are growing extremely quickly, but businesses are struggling to convert that activity into measurable reductions in headcount, faster shipping cycles, or clear bottom-line improvements.</p><p>This is why some firms are moving from an “AI experimentation” phase to a “scrutiny and governance” phase, where spending controls, throttling, ROI measurement, and human oversight are becoming central priorities.</p><p>Also read: <a href="https://www.wionews.com/technology/-10-000-bugs-in-a-month-how-anthropic-s-ai-is-changing-cybersecurity-1779526061436">‘10,000 bugs in a month’: How Anthropic’s AI is changing cybersecurity</a></p><h2>AI washing and re-hiring of humans: How organisational reality is outpacing AI hype</h2><p>From the point of view of these companies, the economic and organisational limits of AI adoption are arriving faster than mass labour displacement. There are two things happening. One is “AI washing”, where layoffs are blamed on AI, but the real causes are elsewhere. The second is re-hiring after premature job cuts. These two aspects are creating scepticism about exaggerated AI automation narratives.</p><p>There is no doubt that AI is improving productivity in targeted workflows. But these gains often lead companies to pursue more ambitious goals rather than simply reduce staff. AI-led efficiency increases total consumption instead of lowering it, and it creates the need to increase AI budgets.</p><p>A more sober consensus appears to be emerging in at least some companies that, while AI capability is advancing rapidly, organisational absorption is much slower.</p><p>For now, the immediate crisis for many enterprises is not mass unemployment — it is runaway AI spending without clear accountability. Big Tech companies like Microsoft, Meta, Google-Alphabet, and Amazon are pumping massive capital expenditure into AI infrastructure, estimated to total up to $700 billion. But investors and executives are seeking clearer monetisation and productivity links.</p><p>The AI apocalypse, financially speaking, may arrive before the jobs apocalypse if and when AI provider companies fail to scale adoption in tandem with the computing costs involved in answering queries.</p>

Companies adopting AI are facing soaring token costs, unclear ROI, and slower-than-expected job cuts. Firms like Uber, Microsoft, and Starbucks are rethinking the balance between AI spending and human staffing. Is the AI vs human labour hype already over?

Recent comments by some Big Tech top brass on Artificial Intelligence adoption are providing a reality check moment: Is AI adoption really helping companies cut costs, bring in efficient processes, and improve bottom lines? The ‘token burn rate’ of AI tools — particularly agentic AI models like Claude — is rising faster than the return on investment (ROI) for the firms using AI. In simplest terms, tokens are the total input-output measurement of computing required to answer your queries, prompts, or chats with an AI interface. OpenAI CEO Sam Altman has admitted that the “job apocalypse” that he and many other AI advocates predicted is not happening as fast as he thought. Why is AI still not able to bring the expected rewards for companies that adopted it? Why are firms like Starbucks re-hiring humans after having adopted or integrated AI into their workflows? AI adoption meets reality After a couple of years of hype, enterprise AI adoption is entering a more sceptical and realistic phase. Companies that adopted AI saw an explosion in token consumption, the main criterion used by AI tools for billing. But firms like Uber are now realising that this is not translating into productivity gains, shipped features, or workforce reductions. Some are now asking the question: Is AI spending economically justified as a cost-cutting and productivity-increasing measure? Some are realising that the “AI apocalypse” may arrive much before the long-predicted jobs apocalypse, because AI stocks could fall if adoption is not in tandem with the billions of dollars spent on computing power to answer user queries. Uber president’s warning: Astronomical token growth meets unclear business value Uber President and COO Andrew Macdonald recently said AI investments are becoming “harder to justify”, as companies cannot yet connect rising AI usage to concrete business outcomes. Speaking on the Rapid Response podcast, Macdonald talked of a widening gap between AI-assisted coding activity and actual delivered value. “You talk to your senior engineering leaders, and you’re saying, ‘Okay, how many projects that were on the cutting room floor got moved above the line because of the productivity gains, because 25 per cent of our code commits were via Claude Code last quarter?’ That link is not there yet,” he said. “If you’re not actually able to draw a direct line to how much useful features and functionality you’re shipping to your users, that trade becomes harder to justify.” Macdonald noted that token usage and AI-generated code commits are going up “in a really astronomical direction”. Yet Uber still struggles to tie those metrics to measurable gains in productivity, feature delivery, or user outcomes, he said. Firms are burning through their AI budgets but have little to show for productivity or cost gains Uber reportedly exhausted its entire 2026 AI coding tools budget within roughly four months because of extremely high employee adoption — around 95 per cent in some teams. This means that, when given a chance, employees would use AI for most of their tasks, driving up the costs. In Uber’s case, the AI budget costs were partially offset by reduced hiring of humans. Macdonald’s reality check came weeks after his own company’s CEO, Dara Khosrowshahi, talked of AI as a way to dramatically increase throughput. Uber was targeting between 20 and 100 per cent productivity gains per employee while slowing down hiring. But that doesn't seem to be happening. The basic problem with enterprise AI: Usage is easy to measure, but value gains are not Macdonald’s remarks are an example of growing doubts across several AI-user industries about whether spending on AI is generating returns on investment fast enough. AI coding tools are usage-based systems where costs rise as usage increases. Those using AI — such as developers — consume more tokens very quickly. AI token costing is different from traditional software licences. The costs can rise exponentially, particularly with agentic workflows and large-context usage. Companies can easily measure and track token counts, code generation volume, AI-assisted commits, or tool adoption rates. But in many cases, this is not going hand in hand with increases in shipped features, faster delivery cycles, better products, or higher revenue. Some firms are moving from ‘AI pilot project’ hype to more disciplined use of AI: Enter the token throttling era Several enterprises expected that AI would help cut down large engineering teams while producing equal or greater output, but they are unable to prove this in real life. The causes are many: AI integration challenges, organisational friction, and quality issues that require human testing, monitoring, and control. Reports indicate that some of these companies are now transitioning from the exuberant “pilot and hype” phase of AI adoption to a more financially disciplined era focused on accountability. Both AI providers and companies that adopt AI are increasingly relying on “token throttling”: methods by which caps are introduced on how many tokens users or teams can consume within specific time windows. AI providers such as Anthropic and OpenAI use throttling to manage GPU capacity and stabilise services in order to limit queues and “Too Many Requests” errors. They are trying to ensure fair access and control compute costs. Limits include tokens-per-minute caps, rolling usage windows, weekly caps, and peak-hour restrictions. On the other hand, companies using AI tools are also implementing their own throttling systems and governance policies to prevent uncontrolled spending from heavy users or autonomous coding agents. These controls reflect how quickly costs can spiral in AI workflows, particularly agentic coding systems that repeatedly process large codebases and contexts. How much are companies spending on AI tokens? It depends on usage intensity, which AI models are used, and how much automation is introduced using AI. Anthropic, the firm behind Claude, estimates that average Claude Code usage costs roughly $6 per active developer per day. It said that 90 per cent of users stay below $12 daily. This translates to approximately $100–$250 per developer per month for moderate-to-heavy usage. For context, Anthropic’s enterprise plans roughly cost $200 for coding workflows of power users, around $85 for typical users, and $25 for light users per month. But all this depends on a specific company’s usage patterns. One company with 100 engineers might spend only about $2,500 monthly overall, while extreme outliers can consume $500–$1,400 worth of tokens in a single day when running agentic workflows with massive contexts. Some startups have reportedly seen AI spending grow 15 times within months, jumping from roughly $200 per developer monthly to nearly $3,000 as adoption deepened and workflows became more AI-dependent. This is why human governance, throttling, and budget controls are becoming standard enterprise practices. Claude vs OpenAI: The pricing arms race Token costs are central to enterprise budgeting for AI adoption. In flagship models, Anthropic’s Claude Opus 4.7 charges approximately $5 per million input tokens and $25 per million output tokens. Note that one million input tokens are roughly equal to 750,000 words. Output tokens are charged at a higher rate than input tokens. OpenAI’s GPT-5.5 is priced at around $5 input and $30 output. Anthropic is therefore slightly cheaper for high-end, output-heavy workloads. Most coding and production use of AI is happening in the mid-tier market. Here, OpenAI is generally cheaper. Claude Sonnet 4.6 costs roughly $3 input and $15 output per million tokens, while OpenAI’s GPT-5.4 costs about $2.50 input and $15 output. OpenAI’s GPT-5.4 Mini is significantly cheaper at $0.75 input and $4.50 output. At the budget tier, OpenAI has a stronger cost advantage. GPT-5.4 Nano costs around $0.20 input and $1.25 output per million tokens, while Claude Haiku 4.5 costs roughly $1 input and $5 output. But remember, you get what you pay for. https://www.wionews.com/videos/us-iran-war-military-operations-used-anthropic-ai-despite-white-house-ban-1772367271311/embed Enterprises are rethinking AI deployment versus human engineers It is emerging that heavy AI coding usage could end up costing more than simply paying human engineers. Businesses are looking at cost-cutting methods while adopting AI. They often mix AI providers depending on the workload. Claude is popular for coding, reasoning, and long-context tasks despite higher costs, while OpenAI is frequently favoured for broader cost efficiency. Regardless of the AI provider, real-world developer costs commonly remain in the $100 to $400 monthly range for serious AI-assisted engineering work. The cost differential is leading some companies to mix and match AI and humans. Microsoft, which gave thousands of engineers access to Anthropic’s Claude Code in late 2025, saw AI usage costs rise so sharply that it started cancelling many direct Claude licences in divisions like Experiences & Devices. The company is shifting employees towards its own cheaper tool, GitHub Copilot CLI, mainly to control token spending. Starbucks, which rolled out its AI inventory system called “Automated Counting” across North American stores to reduce manual work and improve efficiency, had to shut it down after nine months. The AI system frequently made mistakes, often miscounting or mislabelling items like milk and syrups, forcing employees to spend extra time double-checking inventory manually. In this case, instead of saving labour, the AI tool created additional work and operational problems. Starbucks has since shifted focus back towards consistency and human staffing, including hiring more baristas. Companies like Meta and Amazon encouraged heavy internal AI use, but are finding out now that newer agentic AI systems consume vastly more computing power than normal chatbot use. In some cases, agentic workflows can use up to 1,000 times more tokens than standard AI queries, leading to increase in AI bills faster than companies can measure real productivity gains. A reality check from OpenAI CEO: Sam Altman admits the jobs apocalypse hasn’t arrived It is in this context that we have to read Sam Altman’s recent comments acknowledging that AI has displaced far fewer jobs than he and other AI evangelists expected just one or two years ago. The OpenAI CEO said at the Commonwealth Bank of Australia conference that he was “delighted to be wrong” about the pace of white-collar job elimination. “I thought there would have been more impact on entry-level white-collar jobs being eliminated by now than has actually happened.” He said OpenAI had been “roughly right” about technological progress, but “pretty wrong” about the social and economic implications. “I don’t think we’re going to have the kind of jobs apocalypse that some of the companies in our space advocate or talk about.” Also read: Anthropic blocks entire company out of Claude without a reasonable explanation Why AI adoption isn’t translating into mass job cuts Altman thinks the slower-than-expected displacement is due to the enduring importance of human interaction, organisational inertia, and the complexities of AI integration into workflows. Acknowledging the persistent “human part” of work, he said, “We really do care about our interactions with people.” People still value trust, judgement, relationships, and authentic communication, he noted, while sharing how his own attempts to outsource his email and Slack communications to AI made him realise that meaningful interactions could not simply be automated away. Why enterprises will move only slowly on AI adoption Even when AI systems are technically far more capable, organisations face institutional friction, risk aversion, AI integration challenges, oversight requirements, and structural complexity that delay real transformation. This leads to a paradoxical situation: AI adoption and token usage are growing extremely quickly, but businesses are struggling to convert that activity into measurable reductions in headcount, faster shipping cycles, or clear bottom-line improvements. This is why some firms are moving from an “AI experimentation” phase to a “scrutiny and governance” phase, where spending controls, throttling, ROI measurement, and human oversight are becoming central priorities. Also read: ‘10,000 bugs in a month’: How Anthropic’s AI is changing cybersecurity AI washing and re-hiring of humans: How organisational reality is outpacing AI hype From the point of view of these companies, the economic and organisational limits of AI adoption are arriving faster than mass labour displacement. There are two things happening. One is “AI washing”, where layoffs are blamed on AI, but the real causes are elsewhere. The second is re-hiring after premature job cuts. These two aspects are creating scepticism about exaggerated AI automation narratives. There is no doubt that AI is improving productivity in targeted workflows. But these gains often lead companies to pursue more ambitious goals rather than simply reduce staff. AI-led efficiency increases total consumption instead of lowering it, and it creates the need to increase AI budgets. A more sober consensus appears to be emerging in at least some companies that, while AI capability is advancing rapidly, organisational absorption is much slower. For now, the immediate crisis for many enterprises is not mass unemployment — it is runaway AI spending without clear accountability. Big Tech companies like Microsoft, Meta, Google-Alphabet, and Amazon are pumping massive capital expenditure into AI infrastructure, estimated to total up to $700 billion. But investors and executives are seeking clearer monetisation and productivity links. The AI apocalypse, financially speaking, may arrive before the jobs apocalypse if and when AI provider companies fail to scale adoption in tandem with the computing costs involved in answering queries.

<p>Companies adopting AI are facing soaring token costs, unclear ROI, and slower-than-expected job cuts. Firms like Uber, Microsoft, and Starbucks are rethinking the balance between AI spending and human staffing. Is the AI vs human labour hype already over?</p>

AI adoption is not leading to a job apocalypse or saving many firms real money. Make haste slowly? A reality check

<p>OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports. The company is now hiring safety researchers to study the risks linked to this development, known as recursive self-improvement, where AI systems train better versions of themselves. This shift comes as AI capabilities continue to grow rapidly, with companies exploring how far automation can go in research and software development.</p><h2><strong>What is self-improving AI and why it matters</strong></h2><p>Recursive self-improvement refers to AI systems that can upgrade their own performance without relying heavily on human input. In simple terms, an AI system could build a smarter version of itself, which could then repeat the process. This idea, once limited to theory, is now being actively explored as AI tools improve. Reports suggest that the amount of work AI systems can handle is increasing quickly, with some studies indicating that their capabilities are doubling roughly every seven months. If this trend continues, AI systems could eventually handle complex tasks that currently require human researchers and engineers.</p><h2><strong>Why OpenAI is hiring safety researchers</strong></h2><p>OpenAI’s hiring move shows that the company is not only building advanced systems but also preparing for the risks they may bring. The role focuses on studying problems that may arise in the future, even if they do not exist today.</p><p>The researchers will work on areas such as:<br>Preventing data poisoning attacks<br>Understanding how AI systems make decisions<br>Studying risks linked to highly autonomous systems<br>Tracking how AI tools are replacing human technical work<br>The company has described this work as urgent, with potential impact on both industry and society.</p><h2><strong>AI automation and impact on jobs</strong></h2><p>One of the key points in the job listing is the need to track the “automation of technical staff”. This includes measuring how AI tools, such as coding assistants, are replacing or supporting human engineers.</p><p>Industry research suggests that AI could soon handle a large share of software tasks that currently take humans days or weeks to complete. This raises questions about the future of jobs in research, engineering and development. At the same time, companies continue to hire experts to manage and guide these systems, showing a shift in the nature of work rather than a complete replacement.</p><h2><strong>OpenAI’s long-term AI vision</strong></h2><p>OpenAI CEO Sam Altman has previously outlined the company’s goals, including building an “automated AI research intern” in the near term and a fully automated AI researcher by 2028. While he has acknowledged that these goals may not be achieved, the company continues to invest in this direction, reflecting strong belief in the long-term potential of AI.</p><h2><strong>Global race in self-improving AI</strong></h2><p>Other companies are also exploring similar ideas. Anthropic has published research on using AI systems to monitor stronger AI models, while experts estimate there is a 60 per cent chance that AI research could happen without direct human involvement by the end of this decade. This shows that the race towards advanced AI is not limited to one company but is a broader industry trend. The development highlights a key shift in artificial intelligence: moving from tools that assist humans to systems that may operate independently. While this could improve efficiency and innovation, it also raises concerns about control, safety and employment. For now, companies like OpenAI are trying to balance progress with preparation, ensuring that as AI becomes more capable, its risks are understood and managed.</p>

OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports. 


OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports. The company is now hiring safety researchers to study the risks linked to this development, known as recursive self-improvement, where AI systems train better versions of themselves. This shift comes as AI capabilities continue to grow rapidly, with companies exploring how far automation can go in research and software development. What is self-improving AI and why it matters Recursive self-improvement refers to AI systems that can upgrade their own performance without relying heavily on human input. In simple terms, an AI system could build a smarter version of itself, which could then repeat the process. This idea, once limited to theory, is now being actively explored as AI tools improve. Reports suggest that the amount of work AI systems can handle is increasing quickly, with some studies indicating that their capabilities are doubling roughly every seven months. If this trend continues, AI systems could eventually handle complex tasks that currently require human researchers and engineers. Why OpenAI is hiring safety researchers OpenAI’s hiring move shows that the company is not only building advanced systems but also preparing for the risks they may bring. The role focuses on studying problems that may arise in the future, even if they do not exist today. The researchers will work on areas such as: Preventing data poisoning attacks Understanding how AI systems make decisions Studying risks linked to highly autonomous systems Tracking how AI tools are replacing human technical work The company has described this work as urgent, with potential impact on both industry and society. AI automation and impact on jobs One of the key points in the job listing is the need to track the “automation of technical staff”. This includes measuring how AI tools, such as coding assistants, are replacing or supporting human engineers. Industry research suggests that AI could soon handle a large share of software tasks that currently take humans days or weeks to complete. This raises questions about the future of jobs in research, engineering and development. At the same time, companies continue to hire experts to manage and guide these systems, showing a shift in the nature of work rather than a complete replacement. OpenAI’s long-term AI vision OpenAI CEO Sam Altman has previously outlined the company’s goals, including building an “automated AI research intern” in the near term and a fully automated AI researcher by 2028. While he has acknowledged that these goals may not be achieved, the company continues to invest in this direction, reflecting strong belief in the long-term potential of AI. Global race in self-improving AI Other companies are also exploring similar ideas. Anthropic has published research on using AI systems to monitor stronger AI models, while experts estimate there is a 60 per cent chance that AI research could happen without direct human involvement by the end of this decade. This shows that the race towards advanced AI is not limited to one company but is a broader industry trend. The development highlights a key shift in artificial intelligence: moving from tools that assist humans to systems that may operate independently. While this could improve efficiency and innovation, it also raises concerns about control, safety and employment. For now, companies like OpenAI are trying to balance progress with preparation, ensuring that as AI becomes more capable, its risks are understood and managed.

<p>OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports.&nbsp;</p>

‘Future of work’: How OpenAI’s self-improving AI model is preparing to replace research jobs

<p>OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves.<br>According to a recent job listing, the company is hiring for its “Preparedness” team to study risks linked to recursive self-improvement, a concept where AI systems can train and improve newer versions of themselves.</p><h2><strong>What the role involves</strong></h2><p><br>The job focuses on preparing for future risks rather than solving current problems. OpenAI has said the role requires people who can think about challenges that may not yet exist.</p><p>The researcher is expected to:</p><p>Study how AI systems could improve themselves<br>Identify risks such as data poisoning<br>Build tools to understand AI decision-making<br>Track how AI tools replace human technical work</p><p>The company has described the role as needing individuals who are “tasteful and strategic”, meaning they must make careful and well-judged decisions in uncertain situations.</p><h2><strong>Why AI companies are focusing on self-improving systems</strong></h2><p>The hiring comes at a time when AI systems are improving rapidly. Recent research suggests that the complexity of tasks AI models can handle is doubling roughly every seven months. This means AI tools are increasingly able to perform tasks that would take human developers days or weeks. Companies like OpenAI and Anthropic are working towards systems that can assist in research or even automate parts of it. OpenAI CEO Sam Altman has earlier said the company aims to develop an “automated AI researcher” in the coming years, with a long-term goal of building systems that can independently conduct research.</p><h2><strong>Concerns around AI risks and safety</strong></h2><p>The idea of self-improving AI has raised concerns among researchers. Experts warn that such systems could become difficult to control if they improve faster than human oversight. According to industry research, there is a possibility that AI could eventually handle a large share of software development tasks, raising questions about control, safety and accountability.</p><p>OpenAI’s Preparedness team is working on preventing severe risks, including:</p><p>Cybersecurity threats<br>Misuse of AI systems<br>Biological and chemical risks<br>Autonomous AI behaviour</p><h2><strong>What competitors are doing</strong></h2><p>Other AI companies are also exploring similar areas. Anthropic has published research on using AI systems to monitor stronger AI models, while Google DeepMind has highlighted the rapid pace of AI development. Experts like Demis Hassabis have described current progress as an early stage of a possible “AI singularity”, where systems may begin improving themselves beyond human capability.</p><h2><strong>Why salaries are rising in AI sector</strong></h2><p><br>The high salary for this role reflects strong competition for talent in the AI industry. Companies are investing heavily in researchers who can handle complex technical and ethical challenges. As AI systems become more powerful, demand for safety experts is increasing alongside demand for engineers and developers.</p><p><strong>What this means for the future</strong></p><p>OpenAI’s hiring shows that the focus in AI is shifting from building models to managing their impact. While the technology continues to advance, companies are also preparing for long-term risks. The development highlights a key trend in the industry: as AI becomes more capable, ensuring safety and control is becoming as important as innovation itself</p>

OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves.

OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves. According to a recent job listing, the company is hiring for its “Preparedness” team to study risks linked to recursive self-improvement, a concept where AI systems can train and improve newer versions of themselves. What the role involves The job focuses on preparing for future risks rather than solving current problems. OpenAI has said the role requires people who can think about challenges that may not yet exist. The researcher is expected to: Study how AI systems could improve themselves Identify risks such as data poisoning Build tools to understand AI decision-making Track how AI tools replace human technical work The company has described the role as needing individuals who are “tasteful and strategic”, meaning they must make careful and well-judged decisions in uncertain situations. Why AI companies are focusing on self-improving systems The hiring comes at a time when AI systems are improving rapidly. Recent research suggests that the complexity of tasks AI models can handle is doubling roughly every seven months. This means AI tools are increasingly able to perform tasks that would take human developers days or weeks. Companies like OpenAI and Anthropic are working towards systems that can assist in research or even automate parts of it. OpenAI CEO Sam Altman has earlier said the company aims to develop an “automated AI researcher” in the coming years, with a long-term goal of building systems that can independently conduct research. Concerns around AI risks and safety The idea of self-improving AI has raised concerns among researchers. Experts warn that such systems could become difficult to control if they improve faster than human oversight. According to industry research, there is a possibility that AI could eventually handle a large share of software development tasks, raising questions about control, safety and accountability. OpenAI’s Preparedness team is working on preventing severe risks, including: Cybersecurity threats Misuse of AI systems Biological and chemical risks Autonomous AI behaviour What competitors are doing Other AI companies are also exploring similar areas. Anthropic has published research on using AI systems to monitor stronger AI models, while Google DeepMind has highlighted the rapid pace of AI development. Experts like Demis Hassabis have described current progress as an early stage of a possible “AI singularity”, where systems may begin improving themselves beyond human capability. Why salaries are rising in AI sector The high salary for this role reflects strong competition for talent in the AI industry. Companies are investing heavily in researchers who can handle complex technical and ethical challenges. As AI systems become more powerful, demand for safety experts is increasing alongside demand for engineers and developers. What this means for the future OpenAI’s hiring shows that the focus in AI is shifting from building models to managing their impact. While the technology continues to advance, companies are also preparing for long-term risks. The development highlights a key trend in the industry: as AI becomes more capable, ensuring safety and control is becoming as important as innovation itself

<p>OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves.</p>

OpenAI offers up to $445,000 for AI safety role as focus shifts to self-improving systems

<p>Andrej Karpathy, a former co-founder of OpenAI and ex-head of AI at Tesla, has joined Anthropic, marking a significant move in the global artificial intelligence talent landscape. Karpathy confirmed that he has returned to research and development, saying that the coming years will be important for the future of large language models.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Personal update: I&#39;ve joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&amp;D. I remain deeply passionate about education and plan to resume my work on it in time.</p>&mdash; Andrej Karpathy (@karpathy) <a href="https://twitter.com/karpathy/status/2056753169888334312?ref_src=twsrc%5Etfw">May 19, 2026</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<h2><strong>Focus on pre-training and core AI systems</strong></h2><p><br>At Anthropic, Karpathy will work on pre-training, which is the stage where AI models are trained on large datasets to develop their core capabilities. This process involves high computing power and is considered one of the most expensive and critical parts of building systems like Claude. The company has indicated that Karpathy will help build a team focused on using AI tools themselves to improve and speed up this training process.</p><h2><strong>Why Karpathy’s role matters</strong></h2><p><br>Karpathy is widely known for combining theoretical knowledge with real-world implementation. During his time at OpenAI, he worked on deep learning research, and at Tesla, he led key projects such as Autopilot and Full Self-Driving. His experience across both research and product development makes him one of the few experts who can bridge the gap between theory and large-scale deployment, which is important for improving AI performance.</p><h2><strong>Anthropic’s strategy in the AI race</strong></h2><p><br>Anthropic’s decision to bring in Karpathy reflects a broader strategy to improve efficiency in AI development. Instead of relying only on increasing computing power, the company is focusing on how AI systems can assist in research and training. This approach could help reduce costs and speed up development, giving Anthropic a different path compared to competitors like OpenAI and Google.</p><h2><strong>Cybersecurity focus with new hire</strong></h2><p><br>The company has also hired Chris Rohlf, who joins its frontier red team. This team is responsible for testing advanced AI systems against potential risks and vulnerabilities. Rohlf brings more than 20 years of experience in cybersecurity, having worked with organisations like Yahoo and Meta. His addition shows that Anthropic is also strengthening its focus on AI safety and security.</p><h2><strong>Karpathy’s journey and future plans</strong></h2>

<p><br>Karpathy had left OpenAI earlier to join Tesla and later returned briefly before starting his own venture, Eureka Labs, focused on AI in education. While it is unclear how that project will continue, he has said that he remains interested in education and plans to return to it in the future.</p><p>Karpathy’s move highlights the growing competition for top talent in the AI sector. Companies are increasingly investing in experienced researchers who can improve how models are trained and deployed. His role at Anthropic could influence how future AI systems are developed, especially in making training more efficient and scalable.</p><p>Anthropic is expected to expand its research efforts as it competes in the global AI race. With experienced talent joining its teams, the company aims to strengthen its position in developing advanced AI models, where innovation in training methods is becoming as important as computing power itself.</p>

Andrej Karpathy, a former co-founder of OpenAI and ex-head of AI at Tesla, has joined Anthropic, marking a significant move in the global artificial intelligence talent landscape.

Andrej Karpathy, a former co-founder of OpenAI and ex-head of AI at Tesla, has joined Anthropic, marking a significant move in the global artificial intelligence talent landscape. Karpathy confirmed that he has returned to research and development, saying that the coming years will be important for the future of large language models.

<p>Andrej Karpathy, a former co-founder of OpenAI and ex-head of AI at Tesla, has joined Anthropic, marking a significant move in the global artificial intelligence talent landscape.</p>

‘AI talent shift’: Ex-OpenAI researcher Andrej Karpathy joins Anthropic to focus on AI model training

Elon Musk has suffered a major setback in his legal battle against OpenAI, calling the court’s decision a “terrible precedent” for the future of artificial intelligence. The ruling adds another dramatic chapter to the growing clash between Musk and the company he once helped found. As tensions rise over AI governance, corporate control and transparency, the case is becoming one of Silicon Valley’s biggest technology confrontations.


Elon Musk Vs OpenAI: Jury Rules Musk Waited Too Long to Sue OpenAI

<p>OpenAI has placed co-founder and president Greg Brockman in charge of its product strategy, marking a shift in how the company plans to develop and manage its AI tools.</p><p>The move comes as part of an internal transition, with Brockman already overseeing products on an interim basis while the company’s CEO of AGI deployment remains on medical leave.&nbsp;</p><h2><strong>Focus on unifying products</strong></h2><p>According to internal discussions, OpenAI plans to combine its key offerings into a single platform. This includes bringing together ChatGPT, Codex and its developer APIs into one unified experience.</p><p>The aim is to simplify how users interact with OpenAI tools, whether they are individual users or businesses. By creating a single product ecosystem, the company expects to improve efficiency and user experience.</p><p>Brockman has indicated that this approach is designed to support what the company describes as an “agentic future”, where AI systems can perform tasks more independently.</p><h2><strong>Shift towards core products</strong></h2><p>The strategy reflects a broader focus on strengthening OpenAI’s main products. Earlier, CEO Sam Altman had called for greater attention on the core ChatGPT experience.</p><p>Following that direction, the company has reduced work on some experimental projects and redirected resources towards its primary platforms.</p><p>This shift suggests that OpenAI is prioritising stability, usability and scalability over expanding into multiple new areas at once.</p><h2><strong>Leadership transition and continuity</strong></h2><p>While Brockman is now leading product strategy, OpenAI has said that existing leadership continues to be involved in decision-making.</p><p>The company noted that the current changes were planned in coordination with other executives, even as responsibilities have been adjusted temporarily.</p><p>This indicates that the shift is part of a structured transition rather than a sudden change in direction.</p><h2><strong>What this means for users and developers</strong></h2><p>For users, the integration of different tools into a single platform could make it easier to access AI services without switching between multiple products.</p><p>For developers, combining APIs and tools may simplify workflows and reduce complexity when building applications using OpenAI’s technology.</p><p>This approach could also help OpenAI compete more effectively in both consumer and enterprise markets.</p><h2><strong>Industry context and competition</strong></h2><p>The move comes at a time when competition in artificial intelligence is increasing, with companies focusing on building integrated platforms rather than standalone tools.</p><p>By consolidating its products, OpenAI is aligning with this trend and aiming to strengthen its position in the AI market. OpenAI is expected to continue refining its product strategy in the coming months, with further updates likely as integration plans move forward.</p><p>The success of this approach will depend on how well the company can combine its technologies while maintaining performance and usability.</p><p>Overall, the change signals a more focused strategy as OpenAI works to develop its next phase of AI products.</p>

OpenAI has placed co-founder and president Greg Brockman in charge of its product strategy, marking a shift in how the company plans to develop and manage its AI tools.


OpenAI has placed co-founder and president Greg Brockman in charge of its product strategy, marking a shift in how the company plans to develop and manage its AI tools. The move comes as part of an internal transition, with Brockman already overseeing products on an interim basis while the company’s CEO of AGI deployment remains on medical leave. Focus on unifying products According to internal discussions, OpenAI plans to combine its key offerings into a single platform. This includes bringing together ChatGPT, Codex and its developer APIs into one unified experience. The aim is to simplify how users interact with OpenAI tools, whether they are individual users or businesses. By creating a single product ecosystem, the company expects to improve efficiency and user experience. Brockman has indicated that this approach is designed to support what the company describes as an “agentic future”, where AI systems can perform tasks more independently. Shift towards core products The strategy reflects a broader focus on strengthening OpenAI’s main products. Earlier, CEO Sam Altman had called for greater attention on the core ChatGPT experience. Following that direction, the company has reduced work on some experimental projects and redirected resources towards its primary platforms. This shift suggests that OpenAI is prioritising stability, usability and scalability over expanding into multiple new areas at once. Leadership transition and continuity While Brockman is now leading product strategy, OpenAI has said that existing leadership continues to be involved in decision-making. The company noted that the current changes were planned in coordination with other executives, even as responsibilities have been adjusted temporarily. This indicates that the shift is part of a structured transition rather than a sudden change in direction. What this means for users and developers For users, the integration of different tools into a single platform could make it easier to access AI services without switching between multiple products. For developers, combining APIs and tools may simplify workflows and reduce complexity when building applications using OpenAI’s technology. This approach could also help OpenAI compete more effectively in both consumer and enterprise markets. Industry context and competition The move comes at a time when competition in artificial intelligence is increasing, with companies focusing on building integrated platforms rather than standalone tools. By consolidating its products, OpenAI is aligning with this trend and aiming to strengthen its position in the AI market. OpenAI is expected to continue refining its product strategy in the coming months, with further updates likely as integration plans move forward. The success of this approach will depend on how well the company can combine its technologies while maintaining performance and usability. Overall, the change signals a more focused strategy as OpenAI works to develop its next phase of AI products.

<p>OpenAI has placed co-founder and president Greg Brockman in charge of its product strategy, marking a shift in how the company plans to develop and manage its AI tools.</p>

‘AI strategy update’: Greg Brockman takes charge of product strategy at OpenAI

The legal battle between Elon Musk and Sam Altman intensified in a U.S. courtroom as Musk’s lawyers accused OpenAI of abandoning its original mission of developing AI for humanity’s benefit. During the proceedings, Musk’s legal team questioned Altman’s credibility, while OpenAI strongly rejected the allegations. The high-profile case has become a major flashpoint in the global debate over artificial intelligence, corporate control, and the future direction of advanced AI systems.


Musk Vs OpenAI: Musk's Lawyer Calls Altman Untrustworthy In Court

<p>OpenAI has outlined how it delivers real-time voice AI that feels natural during conversations. The focus is on reducing delays so that users can speak and receive responses without noticeable pauses.</p><p>Voice AI systems depend heavily on speed. Even small delays can disrupt conversations, making them feel unnatural. According to OpenAI, its systems are designed to handle voice interactions for more than 900 million weekly users, while maintaining fast response times and stable connections.&nbsp;</p><h2><strong>Why low latency matters in voice AI</strong></h2><p>For voice-based systems, timing is critical. When a user speaks, the system must process audio, understand it and respond almost instantly.</p><p>If delays occur, users may notice:<br>Pauses in conversation<br>Interruptions during speech<br>Delayed responses<br>OpenAI explains that smooth voice interaction requires low and stable round-trip time, minimal data loss and consistent connection quality. This ensures that conversations feel natural rather than mechanical.</p><h2><strong>How WebRTC powers real-time communication</strong></h2><p>A key technology behind OpenAI’s voice system is WebRTC, a standard used for real-time audio, video and data transmission.</p><p>WebRTC helps in:</p><p>Establishing secure connections between devices<br>Managing audio quality and compression<br>Handling network issues such as delays or interruptions</p><p>It also includes features such as encryption, echo cancellation and jitter control, which improve overall communication quality. By using this standard, OpenAI can build systems that work across browsers and mobile devices.</p><h2><strong>Handling conversations while users are still speaking</strong></h2><p>One of the main advantages of OpenAI’s system is that it processes audio as a continuous stream. This means the system does not wait for a user to finish speaking before starting to respond.</p><p>Instead, it can:<br>Transcribe speech in real time<br>Begin processing queries immediately<br>Generate responses while the conversation is ongoing</p><p>This approach makes interactions feel closer to human conversation, where responses often begin before a sentence is fully completed.</p><h2><strong>Infrastructure changes to improve performance</strong></h2><p>To manage large-scale voice interactions, OpenAI redesigned its system architecture. The company introduced a model where a central service handles real-time connections and converts audio into simpler internal formats for processing.</p><p>This approach helps:<br>Reduce delays in data transmission<br>Improve system stability<br>Allow backend services to scale more efficiently<br>By keeping connection management in one place, the system can handle large volumes of users without affecting performance.</p><h2><strong>Global scale and network optimisation</strong></h2><p>OpenAI’s voice AI system is built to operate globally. This requires:</p><p>Fast connection setup so users can start speaking quickly</p><p>Efficient routing of data to reduce latency</p><p>Stable performance across different regions</p><p>The company has focused on reducing the time it takes for audio to travel between users and servers, which is important for maintaining real-time interaction quality.</p><h2><strong>What this means for users and developers</strong></h2><p>The development of low-latency voice AI systems is shaping how people interact with technology. Faster and more natural conversations can improve applications such as virtual assistants, customer support and real-time translation. For developers, these systems provide a foundation to build applications that rely on voice interaction without delays. Overall, OpenAI’s approach highlights how improvements in infrastructure and network design are making voice-based AI more practical and widely usable.</p><p>&nbsp;</p>

OpenAI has outlined how it delivers real-time voice AI that feels natural during conversations. The focus is on reducing delays so that users can speak and receive responses without noticeable pauses.

OpenAI has outlined how it delivers real-time voice AI that feels natural during conversations. The focus is on reducing delays so that users can speak and receive responses without noticeable pauses. Voice AI systems depend heavily on speed. Even small delays can disrupt conversations, making them feel unnatural. According to OpenAI, its systems are designed to handle voice interactions for more than 900 million weekly users, while maintaining fast response times and stable connections. Why low latency matters in voice AI For voice-based systems, timing is critical. When a user speaks, the system must process audio, understand it and respond almost instantly. If delays occur, users may notice: Pauses in conversation Interruptions during speech Delayed responses OpenAI explains that smooth voice interaction requires low and stable round-trip time, minimal data loss and consistent connection quality. This ensures that conversations feel natural rather than mechanical. How WebRTC powers real-time communication A key technology behind OpenAI’s voice system is WebRTC, a standard used for real-time audio, video and data transmission. WebRTC helps in: Establishing secure connections between devices Managing audio quality and compression Handling network issues such as delays or interruptions It also includes features such as encryption, echo cancellation and jitter control, which improve overall communication quality. By using this standard, OpenAI can build systems that work across browsers and mobile devices. Handling conversations while users are still speaking One of the main advantages of OpenAI’s system is that it processes audio as a continuous stream. This means the system does not wait for a user to finish speaking before starting to respond. Instead, it can: Transcribe speech in real time Begin processing queries immediately Generate responses while the conversation is ongoing This approach makes interactions feel closer to human conversation, where responses often begin before a sentence is fully completed. Infrastructure changes to improve performance To manage large-scale voice interactions, OpenAI redesigned its system architecture. The company introduced a model where a central service handles real-time connections and converts audio into simpler internal formats for processing. This approach helps: Reduce delays in data transmission Improve system stability Allow backend services to scale more efficiently By keeping connection management in one place, the system can handle large volumes of users without affecting performance. Global scale and network optimisation OpenAI’s voice AI system is built to operate globally. This requires: Fast connection setup so users can start speaking quickly Efficient routing of data to reduce latency Stable performance across different regions The company has focused on reducing the time it takes for audio to travel between users and servers, which is important for maintaining real-time interaction quality. What this means for users and developers The development of low-latency voice AI systems is shaping how people interact with technology. Faster and more natural conversations can improve applications such as virtual assistants, customer support and real-time translation. For developers, these systems provide a foundation to build applications that rely on voice interaction without delays. Overall, OpenAI’s approach highlights how improvements in infrastructure and network design are making voice-based AI more practical and widely usable.

<p>OpenAI has outlined how it delivers real-time voice AI that feels natural during conversations. The focus is on reducing delays so that users can speak and receive responses without noticeable pauses.</p>

‘Low-latency AI’: How OpenAI makes voice interactions feel natural

The long-running feud between Elon Musk and Sam Altman has intensified inside the courtroom, with Altman rejecting Musk’s accusations that OpenAI abandoned its original nonprofit mission. Altman reportedly argued that Musk had earlier sought greater control over the company during its formative years. The legal battle is now shining a spotlight on the future of AI development, corporate power and the growing rivalry between two of tech’s most influential figures.


Musk vs OpenAI: Altman Fires Back At Musk In OpenAI Trial Over Control And Mission Claims

<p>More than 600 OpenAI employees cashed in a combined $6.6 billion worth of stocks in a single day of October 2025, with each landing nearly 11 million dollars. According to the Wall Street Journal, this was one of the largest employee stock sales in the history of the technology industry. This included both current and former employees. Around 75 of them pocketed $30 million, the maximum permitted amount. This shows the sheer amount of wealth being created by the artificial intelligence companies, even before an IPO. As big tech companies continue to shy away from public listings, OpenAI is leaning into tender offers to reward its team. In a major boost to employee liquidity, the company hiked its internal share-selling cap from $10 million to a staggering $30 million per person. Many large private technology companies are opting for the tender mechanism as they delay their public listings. The cap rose following demand from investors.</p><p>&nbsp;</p><p>OpenAI employees with stocks need to wait two years before selling them. In October, many of them got the first opportunity to sell their shares since the launch of ChatGPT. While all 600 of them technically became millionaires following the shares, not all of them chose to keep all the money with them. According to WSJ, many placed their remaining shares into donor-advised funds, where the money is invested in charitable investment accounts. It goes towards philanthropic causes and lets them claim tax deductions in the same financial year.</p><p>Also Read: <a href="https://www.wionews.com/world/-deeply-sorry-sam-altman-admits-openai-didn-t-report-canada-mass-shooter-s-chatgpt-account-1777096886118"><strong>‘Deeply sorry’: Sam Altman admits OpenAI didn’t report Canada mass shooter’s ChatGPT account</strong></a></p><p>&nbsp;</p><p>This sale and moolah minting was unprecedented in the technology industry, as never had rank-and-file workers ended up with such a large amount of money. The value of shares for those who joined OpenAI when the company first issued stocks seven years ago rose more than 100-fold, according to a WSJ report. For context, in the same period, the Nasdaq composite roughly tripled.</p><h2><strong>Open AI salaries and equity options for employees</strong></h2><p>OpenAI offers competitive salaries for certain technical roles, with annual salaries exceeding $500,000. The stock-based compensation given by the company exceeds that offered by other major technology companies. In 2025, OpenAI gave millions of dollars in one-time bonuses to some employees. Some OpenAI executives hold equities worth billions of dollars. Greg Brockman, OpenAI's president, has an estimated 30 billion dollars worth of them. Meanwhile, Sam Altman has none as the company is structured as a nonprofit organisation.&nbsp;</p>

OpenAI's bid to reward its team with a tender offer led to 600 employees becoming millionaires, with each of them getting at least $11 million after sale of shares. The profits were unprecedented in the technology industry, showing the scale of wealth in the artificial intelligence sector.

More than 600 OpenAI employees cashed in a combined $6.6 billion worth of stocks in a single day of October 2025, with each landing nearly 11 million dollars. According to the Wall Street Journal, this was one of the largest employee stock sales in the history of the technology industry. This included both current and former employees. Around 75 of them pocketed $30 million, the maximum permitted amount. This shows the sheer amount of wealth being created by the artificial intelligence companies, even before an IPO. As big tech companies continue to shy away from public listings, OpenAI is leaning into tender offers to reward its team. In a major boost to employee liquidity, the company hiked its internal share-selling cap from $10 million to a staggering $30 million per person. Many large private technology companies are opting for the tender mechanism as they delay their public listings. The cap rose following demand from investors. OpenAI employees with stocks need to wait two years before selling them. In October, many of them got the first opportunity to sell their shares since the launch of ChatGPT. While all 600 of them technically became millionaires following the shares, not all of them chose to keep all the money with them. According to WSJ, many placed their remaining shares into donor-advised funds, where the money is invested in charitable investment accounts. It goes towards philanthropic causes and lets them claim tax deductions in the same financial year. Also Read: ‘Deeply sorry’: Sam Altman admits OpenAI didn’t report Canada mass shooter’s ChatGPT account This sale and moolah minting was unprecedented in the technology industry, as never had rank-and-file workers ended up with such a large amount of money. The value of shares for those who joined OpenAI when the company first issued stocks seven years ago rose more than 100-fold, according to a WSJ report. For context, in the same period, the Nasdaq composite roughly tripled. Open AI salaries and equity options for employees OpenAI offers competitive salaries for certain technical roles, with annual salaries exceeding $500,000. The stock-based compensation given by the company exceeds that offered by other major technology companies. In 2025, OpenAI gave millions of dollars in one-time bonuses to some employees. Some OpenAI executives hold equities worth billions of dollars. Greg Brockman, OpenAI's president, has an estimated 30 billion dollars worth of them. Meanwhile, Sam Altman has none as the company is structured as a nonprofit organisation.

<p>OpenAI's bid to reward its team with a tender offer led to 600 employees becoming millionaires, with each of them getting at least $11 million after sale of shares. The profits were unprecedented in the technology industry, showing the scale of wealth in the artificial intelligence sector.</p>

Over 600 OpenAI employees became millionaires in a single day last year: Report

<p>OpenAI has introduced three new audio models designed for real-time voice-based applications. The models GPT-Realtime-2, GPT-Realtime-Translate and GPT-Realtime-Whisper are part of the company’s developer platform and aim to improve how software handles live conversations.</p><p>The launch marks a shift from basic transcription tools to systems that can listen, understand and respond during conversations. These models are currently available for testing in OpenAI’s developer playground.&nbsp;</p><h2><strong>What the new models do</strong></h2><p>The three models are built for different tasks but work together to support real-time voice applications. GPT-Realtime-2 is designed to manage complex conversations. It can handle interruptions, maintain context over longer discussions and connect with external tools to complete tasks. GPT-Realtime-Translate focuses on language translation. It supports translation from more than 70 languages into 13 output languages, making it useful for customer service, education and global communication.</p><p>GPT-Realtime-Whisper provides live speech-to-text capabilities. It can generate captions, meeting notes and updates as a person speaks, allowing real-time documentation of conversations.&nbsp;</p><h2><strong>Move towards real-time AI agents</strong></h2><p>With these models, OpenAI is moving towards building AI systems that can act during conversations rather than just respond after receiving input.</p><p>This means voice-based applications can:</p><p>Understand ongoing conversations</p><p>Translate speech instantly</p><p>Perform tasks while interacting with users</p><p>Such capabilities could improve how businesses use AI in areas like support services, virtual assistants and communication tools.</p><h2><strong>Early use cases and adoption</strong></h2><p>Several companies are already testing these models in real-world scenarios. These include Zillow, Priceline and Deutsche Telekom.</p><p>These organisations are exploring how real-time voice AI can improve customer interaction, automate processes and make communication more efficient.</p><p>Pricing and access details</p><p>OpenAI has shared pricing for the new models.</p><p>GPT-Realtime-2 starts at $32 per million audio input tokens.</p><p>GPT-Realtime-Translate costs $0.034 per minute.</p><p>GPT-Realtime-Whisper costs $0.017 per minute.</p><p>The models are currently available in a limited testing phase through the developer platform.</p><h2><strong>What this means for the future</strong></h2><p>The introduction of real-time audio models highlights how AI is evolving from text-based systems to more interactive tools.</p><p>By enabling systems to listen, process and act instantly, OpenAI is expanding the role of AI in communication. As these tools develop further, they may become a common part of everyday applications, from virtual assistants to business operations.</p>

OpenAI has introduced three new audio models designed for real-time voice-based applications. The models GPT-Realtime-2, GPT-Realtime-Translate and GPT-Realtime-Whisper are part of the company’s developer platform and aim to improve how software handles live conversations.

OpenAI has introduced three new audio models designed for real-time voice-based applications. The models GPT-Realtime-2, GPT-Realtime-Translate and GPT-Realtime-Whisper are part of the company’s developer platform and aim to improve how software handles live conversations. The launch marks a shift from basic transcription tools to systems that can listen, understand and respond during conversations. These models are currently available for testing in OpenAI’s developer playground. What the new models do The three models are built for different tasks but work together to support real-time voice applications. GPT-Realtime-2 is designed to manage complex conversations. It can handle interruptions, maintain context over longer discussions and connect with external tools to complete tasks. GPT-Realtime-Translate focuses on language translation. It supports translation from more than 70 languages into 13 output languages, making it useful for customer service, education and global communication. GPT-Realtime-Whisper provides live speech-to-text capabilities. It can generate captions, meeting notes and updates as a person speaks, allowing real-time documentation of conversations. Move towards real-time AI agents With these models, OpenAI is moving towards building AI systems that can act during conversations rather than just respond after receiving input. This means voice-based applications can: Understand ongoing conversations Translate speech instantly Perform tasks while interacting with users Such capabilities could improve how businesses use AI in areas like support services, virtual assistants and communication tools. Early use cases and adoption Several companies are already testing these models in real-world scenarios. These include Zillow, Priceline and Deutsche Telekom. These organisations are exploring how real-time voice AI can improve customer interaction, automate processes and make communication more efficient. Pricing and access details OpenAI has shared pricing for the new models. GPT-Realtime-2 starts at $32 per million audio input tokens. GPT-Realtime-Translate costs $0.034 per minute. GPT-Realtime-Whisper costs $0.017 per minute. The models are currently available in a limited testing phase through the developer platform. What this means for the future The introduction of real-time audio models highlights how AI is evolving from text-based systems to more interactive tools. By enabling systems to listen, process and act instantly, OpenAI is expanding the role of AI in communication. As these tools develop further, they may become a common part of everyday applications, from virtual assistants to business operations.

<p>OpenAI has introduced three new audio models designed for real-time voice-based applications. The models GPT-Realtime-2, GPT-Realtime-Translate and GPT-Realtime-Whisper are part of the company’s developer platform and aim to improve how software handles live conversations.</p>

‘AI voice agents get smarter’: OpenAI unveils 3 new models

<p>OpenAI has introduced a new artificial intelligence model called GPT-5.5-Cyber, designed specifically for cybersecurity use cases. The model is currently being released in a limited preview to selected and vetted teams, marking a focused step in how AI tools are being adapted for specialised industries. The announcement comes just a month after Anthropic introduced its Mythos model, which also focused on advanced cybersecurity capabilities.&nbsp;</p><h2><strong>What is GPT-5.5-Cyber and how is it different?</strong></h2><p>GPT-5.5-Cyber is a variation of OpenAI’s latest GPT-5.5 model. Unlike general-purpose versions, this model is designed to be more flexible for security-related tasks. OpenAI said the model is not necessarily more powerful than the standard version, but it is adjusted to allow cybersecurity teams to perform tasks that would otherwise be restricted by safety controls. This makes it easier for professionals to analyse threats, test systems and understand vulnerabilities without running into limitations that apply to public versions of AI tools.&nbsp;</p><h2><strong>How cybersecurity teams can use it</strong></h2><p>According to OpenAI, GPT-5.5-Cyber is designed to support real-world cybersecurity workflows. These include identifying vulnerabilities in systems, analysing malware, validating patches and prioritising security issues. By reducing restrictions for trusted users, the model allows teams to work more efficiently on tasks that require deeper technical access. OpenAI said the goal is to help partners explore advanced workflows where specialised behaviour is necessary.</p><h2><strong>Why access is limited</strong></h2><p>The model is currently available only to a small group of vetted organisations. This controlled rollout is intended to ensure responsible use, given the sensitive nature of cybersecurity work.</p><p>A similar approach was seen with Anthropic’s Mythos model, which was also released to a limited group as part of its Project Glasswing initiative. These steps show that companies are being cautious while deploying advanced AI tools in critical areas like security.</p><h2><strong>Growing focus on AI in cybersecurity</strong></h2><p>The release of GPT-5.5-Cyber reflects a broader trend in the industry. AI is increasingly being used to detect vulnerabilities, analyse threats and improve system security.</p><p>Recent developments, including Anthropic’s Mythos, have shown how AI can identify complex bugs and assist security teams in ways that were difficult earlier. This has drawn attention from governments and financial institutions, highlighting the importance of such tools.</p><h2><strong>What this means for the industry</strong></h2><p>The introduction of specialised AI models for cybersecurity suggests that the field is moving towards more targeted solutions. Instead of using general AI systems, organisations are now adopting tools designed for specific tasks.</p><p>While these models can improve efficiency and detection, they also raise questions about how access should be managed and how risks can be controlled.</p><p>As GPT-5.5-Cyber continues its limited rollout, its impact will depend on how effectively teams use it in real-world scenarios. OpenAI may expand access in the future based on feedback from early users. For now, the release highlights how AI companies are focusing on practical applications, especially in areas like cybersecurity where accuracy and control are critical.</p>

OpenAI has introduced a new artificial intelligence model called GPT-5.5-Cyber, designed specifically for cybersecurity use cases. The model is currently being released in a limited preview to selected and vetted teams.


OpenAI has introduced a new artificial intelligence model called GPT-5.5-Cyber, designed specifically for cybersecurity use cases. The model is currently being released in a limited preview to selected and vetted teams, marking a focused step in how AI tools are being adapted for specialised industries. The announcement comes just a month after Anthropic introduced its Mythos model, which also focused on advanced cybersecurity capabilities. What is GPT-5.5-Cyber and how is it different? GPT-5.5-Cyber is a variation of OpenAI’s latest GPT-5.5 model. Unlike general-purpose versions, this model is designed to be more flexible for security-related tasks. OpenAI said the model is not necessarily more powerful than the standard version, but it is adjusted to allow cybersecurity teams to perform tasks that would otherwise be restricted by safety controls. This makes it easier for professionals to analyse threats, test systems and understand vulnerabilities without running into limitations that apply to public versions of AI tools. How cybersecurity teams can use it According to OpenAI, GPT-5.5-Cyber is designed to support real-world cybersecurity workflows. These include identifying vulnerabilities in systems, analysing malware, validating patches and prioritising security issues. By reducing restrictions for trusted users, the model allows teams to work more efficiently on tasks that require deeper technical access. OpenAI said the goal is to help partners explore advanced workflows where specialised behaviour is necessary. Why access is limited The model is currently available only to a small group of vetted organisations. This controlled rollout is intended to ensure responsible use, given the sensitive nature of cybersecurity work. A similar approach was seen with Anthropic’s Mythos model, which was also released to a limited group as part of its Project Glasswing initiative. These steps show that companies are being cautious while deploying advanced AI tools in critical areas like security. Growing focus on AI in cybersecurity The release of GPT-5.5-Cyber reflects a broader trend in the industry. AI is increasingly being used to detect vulnerabilities, analyse threats and improve system security. Recent developments, including Anthropic’s Mythos, have shown how AI can identify complex bugs and assist security teams in ways that were difficult earlier. This has drawn attention from governments and financial institutions, highlighting the importance of such tools. What this means for the industry The introduction of specialised AI models for cybersecurity suggests that the field is moving towards more targeted solutions. Instead of using general AI systems, organisations are now adopting tools designed for specific tasks. While these models can improve efficiency and detection, they also raise questions about how access should be managed and how risks can be controlled. As GPT-5.5-Cyber continues its limited rollout, its impact will depend on how effectively teams use it in real-world scenarios. OpenAI may expand access in the future based on feedback from early users. For now, the release highlights how AI companies are focusing on practical applications, especially in areas like cybersecurity where accuracy and control are critical.

<p>OpenAI has introduced a new artificial intelligence model called GPT-5.5-Cyber, designed specifically for cybersecurity use cases. The model is currently being released in a limited preview to selected and vetted teams.</p>

OpenAI launches GPT-5.5-Cyber: Key things to know about the new model

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