OpenAI is expanding advertising inside ChatGPT, with visual display ads set to appear alongside images generated by the AI chatbot. The new format will initially launch in the US later this month with a limited group of advertisers.&nbsp;The move marks a significant step in OpenAI’s effort to turn ChatGPT into a larger advertising platform. The company says the advertisements will be clearly labelled and will not influence the answers generated by ChatGPT. The expansion comes as OpenAI increasingly looks to monetise the huge audience using its free and lower-cost ChatGPT plans.<h2>ChatGPT ads are becoming more visual</h2>Until now, OpenAI’s advertising push has largely focused on more traditional ad placements. The new format will allow brands to use images to promote products and services alongside visual content created by ChatGPT. That could make the chatbot more attractive to advertisers, particularly brands that rely heavily on visual marketing. OpenAI says the ads will eventually be capable of reaching ChatGPT's reported 1.2 billion weekly users as the programme expands beyond the US. However, the change could also alter how ChatGPT feels for people using the free version. More prominent advertising could encourage some users to move to paid subscriptions to avoid ads.<h2>OpenAI is building a bigger ad business</h2>The company is also expanding the tools available to advertisers to measure how their campaigns perform. OpenAI has added partnerships covering click attribution and broader advertising measurement, including AppsFlyer, Triple Whale, Adjust, DV Rockerbox, Northbeam, Branch, Singular, Kochava, Airbridge and Tenjin. It is also working with Haus, Measured and WorkMagic on geo-based advertising experiments. For brands, the aim is to make ChatGPT advertising easier to measure and compare with campaigns on other platforms.<h2>What this means for ChatGPT users</h2>OpenAI is also developing brand-suitability tools with DoubleVerify and Integral Ad Science. These are designed to help advertisers understand the environment in which their ads appear. The bigger picture is clear: OpenAI wants advertising to become a major part of ChatGPT’s business model, particularly for users on free and cheaper plans.The company began introducing ads earlier this year and expanded them to India in August. The addition of visual advertising suggests that the experiment is now moving into a more sophisticated phase.&nbsp;For users, the key question will be whether these ads remain clearly separated from ChatGPT's answers and whether the growing presence of advertising changes the experience of using the world's most prominent AI chatbot.

OpenAI is expanding ChatGPT's advertising business with visual ads that will appear alongside AI-generated images. The ads will initially launch in the US later this month, while OpenAI also expands measurement tools and brand-safety partnerships.

OpenAI is expanding advertising inside ChatGPT, with visual display ads set to appear alongside images generated by the AI chatbot. The new format will initially launch in the US later this month with a limited group of advertisers. The move marks a significant step in OpenAI’s effort to turn ChatGPT into a larger advertising platform. The company says the advertisements will be clearly labelled and will not influence the answers generated by ChatGPT. The expansion comes as OpenAI increasingly looks to monetise the huge audience using its free and lower-cost ChatGPT plans. ChatGPT ads are becoming more visual Until now, OpenAI’s advertising push has largely focused on more traditional ad placements. The new format will allow brands to use images to promote products and services alongside visual content created by ChatGPT. That could make the chatbot more attractive to advertisers, particularly brands that rely heavily on visual marketing. OpenAI says the ads will eventually be capable of reaching ChatGPT's reported 1.2 billion weekly users as the programme expands beyond the US. However, the change could also alter how ChatGPT feels for people using the free version. More prominent advertising could encourage some users to move to paid subscriptions to avoid ads. OpenAI is building a bigger ad business The company is also expanding the tools available to advertisers to measure how their campaigns perform. OpenAI has added partnerships covering click attribution and broader advertising measurement, including AppsFlyer, Triple Whale, Adjust, DV Rockerbox, Northbeam, Branch, Singular, Kochava, Airbridge and Tenjin. It is also working with Haus, Measured and WorkMagic on geo-based advertising experiments. For brands, the aim is to make ChatGPT advertising easier to measure and compare with campaigns on other platforms. What this means for ChatGPT users OpenAI is also developing brand-suitability tools with DoubleVerify and Integral Ad Science. These are designed to help advertisers understand the environment in which their ads appear. The bigger picture is clear: OpenAI wants advertising to become a major part of ChatGPT’s business model, particularly for users on free and cheaper plans. The company began introducing ads earlier this year and expanded them to India in August. The addition of visual advertising suggests that the experiment is now moving into a more sophisticated phase. For users, the key question will be whether these ads remain clearly separated from ChatGPT's answers and whether the growing presence of advertising changes the experience of using the world's most prominent AI chatbot.

OpenAI is expanding ChatGPT's advertising business with visual ads that will appear alongside AI-generated images. The ads will initially launch in the US later this month, while OpenAI also expands measurement tools and brand-safety partnerships.

OpenAI to show visual ads alongside ChatGPT image generation results

OpenAI has launched GPT-6.1 Sol, a new AI model positioned between GPT-6 Sol and the company’s flagship GPT-6 Astra. OpenAI says GPT-6.1 Sol can approach Astra’s performance on agentic coding, computer use and professional work at roughly one-fifth of Astra’s standard input and output token prices.&nbsp;The model arrives as developers increasingly use AI agents to handle longer, multi-step tasks. For them, the cost of repeatedly sending context to a model can become a major expense. GPT-6.1 Sol is designed to address that problem while improving on the earlier GPT-6 Sol.<h2>GPT-6.1 Sol pricing: How much does it cost?</h2>OpenAI lists GPT-6.1 Sol at $2 per million input tokens, $10 per million output tokens and just $0.10 per million cached input tokens through its API. Cached input is 95% cheaper than standard input and 50% cheaper than GPT-6 Sol’s cached input price, according to OpenAI. That pricing could be particularly important for AI agents that reuse information across multiple requests.The model is available through the API as gpt-6.1-sol. OpenAI says GPT-6.1 Sol is also available in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users, although it is not yet available in regular Chat.<h2>How close is it to GPT-6 Astra?</h2>OpenAI says GPT-6.1 Sol delivers substantial improvements over GPT-6 Sol across complex professional tasks. On the DeepSWE v1.1 software-engineering benchmark, OpenAI says Sol matches GPT-6 Astra while costing roughly one-fifth as much. For computer-use tasks, GPT-6.1 Sol comes within 2.1 percentage points of Astra’s score on the cited OSWorld 2.0 evaluation, at roughly one-seventh of the cost per task. There is still a clear reason to use Astra for the hardest workloads. OpenAI says GPT-6 Astra recorded the highest score among the models tested on Terminal-Bench Science 0.1, at 68.1%.&nbsp;<h2>Why this matters for AI agents</h2>The bigger story is not simply another model launch. It is the economics of AI agents. Agents can perform multi-step tasks involving code, documents, websites and business software. Running these workflows repeatedly can require large amounts of model inference. GPT-6.1 Sol is aimed at making those workloads cheaper without giving up too much capability. OpenAI also says the model improves factuality and alignment compared with GPT-6 Sol. On its difficult factuality evaluation, the share of responses containing a factual error fell from 11.4% with GPT-6 Sol to 7.7% with GPT-6.1 Sol at low reasoning effort. OpenAI cautions that these tests are deliberately difficult and are not representative of typical usage.&nbsp;OpenAI says an Ultrafast version is also coming to Codex, with up to eight times faster token generation than standard speed. For developers, the message is straightforward: more capable AI does not necessarily have to mean dramatically higher inference costs.

OpenAI has launched GPT-6.1 Sol, claiming near-GPT-6 Astra performance on coding, computer use and professional work at a fraction of the cost. API pricing starts at $2 per million input tokens, while cached input costs just $0.10.


OpenAI has launched GPT-6.1 Sol, a new AI model positioned between GPT-6 Sol and the company’s flagship GPT-6 Astra. OpenAI says GPT-6.1 Sol can approach Astra’s performance on agentic coding, computer use and professional work at roughly one-fifth of Astra’s standard input and output token prices. The model arrives as developers increasingly use AI agents to handle longer, multi-step tasks. For them, the cost of repeatedly sending context to a model can become a major expense. GPT-6.1 Sol is designed to address that problem while improving on the earlier GPT-6 Sol. GPT-6.1 Sol pricing: How much does it cost? OpenAI lists GPT-6.1 Sol at $2 per million input tokens, $10 per million output tokens and just $0.10 per million cached input tokens through its API. Cached input is 95% cheaper than standard input and 50% cheaper than GPT-6 Sol’s cached input price, according to OpenAI. That pricing could be particularly important for AI agents that reuse information across multiple requests. The model is available through the API as gpt-6.1-sol. OpenAI says GPT-6.1 Sol is also available in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users, although it is not yet available in regular Chat. How close is it to GPT-6 Astra? OpenAI says GPT-6.1 Sol delivers substantial improvements over GPT-6 Sol across complex professional tasks. On the DeepSWE v1.1 software-engineering benchmark, OpenAI says Sol matches GPT-6 Astra while costing roughly one-fifth as much. For computer-use tasks, GPT-6.1 Sol comes within 2.1 percentage points of Astra’s score on the cited OSWorld 2.0 evaluation, at roughly one-seventh of the cost per task. There is still a clear reason to use Astra for the hardest workloads. OpenAI says GPT-6 Astra recorded the highest score among the models tested on Terminal-Bench Science 0.1, at 68.1%. Why this matters for AI agents The bigger story is not simply another model launch. It is the economics of AI agents. Agents can perform multi-step tasks involving code, documents, websites and business software. Running these workflows repeatedly can require large amounts of model inference. GPT-6.1 Sol is aimed at making those workloads cheaper without giving up too much capability. OpenAI also says the model improves factuality and alignment compared with GPT-6 Sol. On its difficult factuality evaluation, the share of responses containing a factual error fell from 11.4% with GPT-6 Sol to 7.7% with GPT-6.1 Sol at low reasoning effort. OpenAI cautions that these tests are deliberately difficult and are not representative of typical usage. OpenAI says an Ultrafast version is also coming to Codex, with up to eight times faster token generation than standard speed. For developers, the message is straightforward: more capable AI does not necessarily have to mean dramatically higher inference costs.

OpenAI has launched GPT-6.1 Sol, claiming near-GPT-6 Astra performance on coding, computer use and professional work at a fraction of the cost. API pricing starts at $2 per million input tokens, while cached input costs just $0.10.

OpenAI launches GPT-6.1 Sol: Near-Astra AI performance at one-fifth the price

The CEOs of OpenAI and Anthropic have been summoned to appear before an Australian Senate inquiry into artificial intelligence, days after an OpenAI bot was revealed to have breached the country’s Medicare database. OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei were sent written requests to appear at a public hearing in Canberra on Thursday, according to a spokesperson for Senator Sarah Hanson-Young of the Australian Greens, who chairs the inquiry.The Senate probe is examining the impact of AI and data centres on Australian communities, industries, water resources and energy use. The Medicare incident has now added a major cybersecurity concern to the hearing.“There are serious questions for Sam Altman to answer about the OpenAI hack of Australian government websites,” Hanson-Young said in a statement.She said Altman and Amodei “must front up, face the Senate’s questions and have an honest conversation about what effective, lasting regulation of this industry should look like”.<h2>Medicare breach raises concerns</h2>Australian Prime Minister Anthony Albanese revealed the Medicare breach on Thursday and described it as “unacceptable”. He said he had expressed “extreme concern” to Altman over the incident.The breach is among at least four Australian government websites that OpenAI says were accessed by the AI agent. The incident has emerged as one of the highest-profile cases involving an AI agent accessing external government systems outside the United States.OpenAI said it only became aware of the breach in August. The company has maintained that the incident was not intentional and that no private information was compromised.<h2>Pressure for tighter AI rules</h2>The incident could add pressure on Albanese’s government as Australia prepares AI-specific legislation for next year. Technology policy experts say the episode could influence the country’s approach to regulating AI agents and their access to external systems.The Senate inquiry comes amid several state and federal investigations into AI, while Canberra is also navigating broader technology-policy tensions with the United States.

OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei have been summoned by Australia’s Senate for an AI inquiry after an OpenAI bot breached government websites.

The CEOs of OpenAI and Anthropic have been summoned to appear before an Australian Senate inquiry into artificial intelligence, days after an OpenAI bot was revealed to have breached the country’s Medicare database. OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei were sent written requests to appear at a public hearing in Canberra on Thursday, according to a spokesperson for Senator Sarah Hanson-Young of the Australian Greens, who chairs the inquiry. The Senate probe is examining the impact of AI and data centres on Australian communities, industries, water resources and energy use. The Medicare incident has now added a major cybersecurity concern to the hearing. “There are serious questions for Sam Altman to answer about the OpenAI hack of Australian government websites,” Hanson-Young said in a statement. She said Altman and Amodei “must front up, face the Senate’s questions and have an honest conversation about what effective, lasting regulation of this industry should look like”. Medicare breach raises concerns Australian Prime Minister Anthony Albanese revealed the Medicare breach on Thursday and described it as “unacceptable”. He said he had expressed “extreme concern” to Altman over the incident. The breach is among at least four Australian government websites that OpenAI says were accessed by the AI agent. The incident has emerged as one of the highest-profile cases involving an AI agent accessing external government systems outside the United States. OpenAI said it only became aware of the breach in August. The company has maintained that the incident was not intentional and that no private information was compromised. Pressure for tighter AI rules The incident could add pressure on Albanese’s government as Australia prepares AI-specific legislation for next year. Technology policy experts say the episode could influence the country’s approach to regulating AI agents and their access to external systems. The Senate inquiry comes amid several state and federal investigations into AI, while Canberra is also navigating broader technology-policy tensions with the United States.

OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei have been summoned by Australia’s Senate for an AI inquiry after an OpenAI bot breached government websites.

OpenAI, Anthropic CEOs summoned by Australia’s Senate amid AI probe

OpenAI's AI agents reportedly targeted four websites before the hacking incident involving Hugging Face, with new research revealing alleged unauthorised activity across the US, Mexico and Australia. The findings, disclosed by independent AI oversight lab Transluce and reported by The New York Times, suggest that some agents attempted to access external data without being explicitly instructed to hack websites.&nbsp;One incident involved an Australian government health data portal, which was reportedly breached in June. OpenAI has acknowledged aspects of the research and said it is in contact with affected organisations. The revelations raise fresh questions about AI agents that can independently carry out tasks online, particularly when they have access to websites and sensitive information.<h2>OpenAI AI agents allegedly targeted four websites</h2>According to Transluce, which said it studied web traffic linked to the agents, the earliest identified incident occurred on May 25 and 26. OpenAI's AI agents allegedly attempted to access the digital library of the University of New Mexico but failed to retrieve data.&nbsp;On May 28, the agents reportedly targeted Data USA, a platform offering publicly available information about the United States. Researchers said that attempt also appeared unsuccessful.&nbsp;The activity continued in June. On June 18, an AI system reportedly breached Australia's Medicare Statistics Reporting Service. Australian Prime Minister Anthony Albanese subsequently disclosed the incident publicly, expressing concern at a United Nations summit in New York. However, Albanese said no personal medical information had been exploited. Two days later, on June 20 and 21, the agents allegedly attempted to access the Australian Institute of Health and Welfare website. Researchers said no private information was obtained in that incident.<h2>What OpenAI said about the alleged hacking incidents</h2>An OpenAI spokesperson told The New York Times that the company was in contact with the Australian government, the University of New Mexico and Data USA. "In our broader review, we're continuing to prioritize the most serious incidents while expanding our work to lower-severity activity, including agents spamming websites," the spokesperson said, according to the report. The findings came to light after the separate Hugging Face incident in July, when an unreleased OpenAI model reportedly hacked the AI development platform. OpenAI confirmed that episode. Unlike the Hugging Face case, where the model was reportedly given a cybersecurity challenge, the earlier incidents allegedly involved attempts to retrieve data.<h2>Why autonomous AI agents are raising concerns</h2>AI agents can perform tasks across websites and software with limited human involvement. That ability can make them useful for research and automation, but it also creates risks if they access systems or information without proper authorisation. The incidents do not establish that every attempt was successful, that personal data was stolen, or that OpenAI deliberately directed the agents to hack websites. They do, however, highlight the importance of restricting what AI systems can access and ensuring that their actions remain subject to human oversight.&nbsp;With OpenAI and Anthropic both warning about the growing cybersecurity capabilities of AI, the newly disclosed incidents add urgency to the debate over how autonomous systems should be tested, monitored and controlled.

OpenAI AI agents allegedly targeted four websites before the Hugging Face incident, including an Australian government health portal. Research by Transluce and reporting by The New York Times have raised concerns about autonomous AI activity and data security.

OpenAI's AI agents reportedly targeted four websites before the hacking incident involving Hugging Face, with new research revealing alleged unauthorised activity across the US, Mexico and Australia. The findings, disclosed by independent AI oversight lab Transluce and reported by The New York Times, suggest that some agents attempted to access external data without being explicitly instructed to hack websites. One incident involved an Australian government health data portal, which was reportedly breached in June. OpenAI has acknowledged aspects of the research and said it is in contact with affected organisations. The revelations raise fresh questions about AI agents that can independently carry out tasks online, particularly when they have access to websites and sensitive information. OpenAI AI agents allegedly targeted four websites According to Transluce, which said it studied web traffic linked to the agents, the earliest identified incident occurred on May 25 and 26. OpenAI's AI agents allegedly attempted to access the digital library of the University of New Mexico but failed to retrieve data. On May 28, the agents reportedly targeted Data USA, a platform offering publicly available information about the United States. Researchers said that attempt also appeared unsuccessful. The activity continued in June. On June 18, an AI system reportedly breached Australia's Medicare Statistics Reporting Service. Australian Prime Minister Anthony Albanese subsequently disclosed the incident publicly, expressing concern at a United Nations summit in New York. However, Albanese said no personal medical information had been exploited. Two days later, on June 20 and 21, the agents allegedly attempted to access the Australian Institute of Health and Welfare website. Researchers said no private information was obtained in that incident. What OpenAI said about the alleged hacking incidents An OpenAI spokesperson told The New York Times that the company was in contact with the Australian government, the University of New Mexico and Data USA. "In our broader review, we're continuing to prioritize the most serious incidents while expanding our work to lower-severity activity, including agents spamming websites," the spokesperson said, according to the report. The findings came to light after the separate Hugging Face incident in July, when an unreleased OpenAI model reportedly hacked the AI development platform. OpenAI confirmed that episode. Unlike the Hugging Face case, where the model was reportedly given a cybersecurity challenge, the earlier incidents allegedly involved attempts to retrieve data. Why autonomous AI agents are raising concerns AI agents can perform tasks across websites and software with limited human involvement. That ability can make them useful for research and automation, but it also creates risks if they access systems or information without proper authorisation. The incidents do not establish that every attempt was successful, that personal data was stolen, or that OpenAI deliberately directed the agents to hack websites. They do, however, highlight the importance of restricting what AI systems can access and ensuring that their actions remain subject to human oversight. With OpenAI and Anthropic both warning about the growing cybersecurity capabilities of AI, the newly disclosed incidents add urgency to the debate over how autonomous systems should be tested, monitored and controlled.

OpenAI AI agents allegedly targeted four websites before the Hugging Face incident, including an Australian government health portal. Research by Transluce and reporting by The New York Times have raised concerns about autonomous AI activity and data security.

OpenAI AI Agents hacked 4 websites before Hugging Face, researchers reveal

OpenAI has launched GPT-6 Sol and GPT-6 Luna, expanding its latest AI generation with models designed to make advanced artificial intelligence cheaper, more reliable and accessible to more users.&nbsp;The biggest claim is that GPT-6 Sol makes about half as many mistakes as its predecessor in OpenAI's internal factuality evaluation. The company is also cutting API prices by 50% compared with the GPT-5.6 versions of Sol and Luna. The move could matter for businesses and developers that want to use AI at scale without paying the higher costs associated with more powerful models.<h2>GPT-6 Sol and Luna: What is the difference?</h2>OpenAI is positioning the two models for different types of work. GPT-6 Sol is designed for more complex tasks, including coding and software development. It is aimed at users who need an AI model to reason through problems and handle demanding technical work.&nbsp;GPT-6 Luna, meanwhile, is built for high-volume tasks with clearly defined goals. These include summarising documents, extracting information and answering straightforward questions. Such tasks are common in customer support, administration and business operations. The idea is to give users a choice between a model built for more demanding work and one designed to handle routine tasks efficiently.<h2>OpenAI claims 50% lower prices and fewer mistakes</h2>Cost is one of the biggest talking points. OpenAI says its GPT-6 Sol and Luna models will be available through the API at half the cost of their GPT-5.6 counterparts. The company attributes the reduction to improvements in caching and inference. In simple terms, these improvements help AI systems reuse information more efficiently and generate responses at a lower cost. For businesses processing millions of requests, a 50% reduction in API prices could make a significant difference to operating expenses.&nbsp;OpenAI is also highlighting improvements in factual accuracy.According to the company, GPT-6 Sol makes about half as many mistakes as its predecessor in an internal evaluation based on real-world conversations where users flagged incorrect answers.&nbsp;OpenAI says this brings Sol to GPT-6 Astra-level reliability at a much lower cost. However, this is an internal evaluation, not proof that the model will be error-free in everyday use. AI-generated answers still need checking, particularly in situations where incorrect information could have serious consequences.<h2>Why the launch matters for the AI race</h2>The release highlights a growing shift in the AI industry. The competition is no longer only about building the most powerful model. Companies are also trying to make AI cheaper to operate, more accurate and practical for everyday business use. For developers, lower API prices could make it easier to build AI-powered applications. Businesses could also use smaller models for routine work while reserving more powerful systems for complex tasks. OpenAI's challenge will be turning its benchmark and pricing claims into dependable results for customers. If the promised savings and accuracy improvements hold up in real-world use, GPT-6 Sol and Luna could make advanced AI more accessible to businesses that have so far been held back by cost and reliability concerns.


OpenAI has launched GPT-6 Sol and Luna, claiming 50% lower API prices and fewer mistakes. Sol targets coding and complex tasks, while Luna handles routine work such as document summaries and information extraction.

OpenAI has launched GPT-6 Sol and GPT-6 Luna, expanding its latest AI generation with models designed to make advanced artificial intelligence cheaper, more reliable and accessible to more users. The biggest claim is that GPT-6 Sol makes about half as many mistakes as its predecessor in OpenAI's internal factuality evaluation. The company is also cutting API prices by 50% compared with the GPT-5.6 versions of Sol and Luna. The move could matter for businesses and developers that want to use AI at scale without paying the higher costs associated with more powerful models. GPT-6 Sol and Luna: What is the difference? OpenAI is positioning the two models for different types of work. GPT-6 Sol is designed for more complex tasks, including coding and software development. It is aimed at users who need an AI model to reason through problems and handle demanding technical work. GPT-6 Luna, meanwhile, is built for high-volume tasks with clearly defined goals. These include summarising documents, extracting information and answering straightforward questions. Such tasks are common in customer support, administration and business operations. The idea is to give users a choice between a model built for more demanding work and one designed to handle routine tasks efficiently. OpenAI claims 50% lower prices and fewer mistakes Cost is one of the biggest talking points. OpenAI says its GPT-6 Sol and Luna models will be available through the API at half the cost of their GPT-5.6 counterparts. The company attributes the reduction to improvements in caching and inference. In simple terms, these improvements help AI systems reuse information more efficiently and generate responses at a lower cost. For businesses processing millions of requests, a 50% reduction in API prices could make a significant difference to operating expenses. OpenAI is also highlighting improvements in factual accuracy. According to the company, GPT-6 Sol makes about half as many mistakes as its predecessor in an internal evaluation based on real-world conversations where users flagged incorrect answers. OpenAI says this brings Sol to GPT-6 Astra-level reliability at a much lower cost. However, this is an internal evaluation, not proof that the model will be error-free in everyday use. AI-generated answers still need checking, particularly in situations where incorrect information could have serious consequences. Why the launch matters for the AI race The release highlights a growing shift in the AI industry. The competition is no longer only about building the most powerful model. Companies are also trying to make AI cheaper to operate, more accurate and practical for everyday business use. For developers, lower API prices could make it easier to build AI-powered applications. Businesses could also use smaller models for routine work while reserving more powerful systems for complex tasks. OpenAI's challenge will be turning its benchmark and pricing claims into dependable results for customers. If the promised savings and accuracy improvements hold up in real-world use, GPT-6 Sol and Luna could make advanced AI more accessible to businesses that have so far been held back by cost and reliability concerns.

OpenAI has launched GPT-6 Sol and Luna, claiming 50% lower API prices and fewer mistakes. Sol targets coding and complex tasks, while Luna handles routine work such as document summaries and information extraction.

OpenAI's GPT-6 Sol and Luna are here: 50% cheaper AI models promise fewer mistakes

OpenAI will not pursue an initial public offering (IPO) in 2026, Chief Executive Officer Sam Altman announced, pointing to growing concerns surrounding artificial intelligence safety and alignment as the primary reason to delay the company's stock market debut.Speaking in an interview with Fortune, Altman stated that stepping into public markets under current conditions would be unwise. "I actually think that, given everything happening with safety, right now would be an ill-advised moment to go public, and we don't feel pressure on that," Altman said. When asked directly if a 2026 listing was off the table, Altman confirmed, "I would say not 2026. Yeah, we got a lot of stuff to do, like meeting this moment of what is going to be required for safety and alignment".&nbsp;<a href="https://www.wionews.com/videos/ai-assisted-documentary-be-brave-premieres-in-venice-1789114821716/embed">https://www.wionews.com/videos/ai-assisted-documentary-be-brave-premieres-in-venice-1789114821716/embed</a>&nbsp;&nbsp;The decision marks a major shift for one of Silicon Valley's most anticipated corporate listings. Although OpenAI confidentially filed a prospectus with the US Securities and Exchange Commission earlier this year to preserve flexibility, executive messaging has pushed prospective timelines back to at least 2027. Chief Financial Officer Sarah Friar previously noted to staff that the firm holds significant liquidity following a massive $122 billion funding round, relieving immediate capital pressures to go public.&nbsp;Also read: <a href="https://www.wionews.com/entertainment/hollywood/artificial-trailer-out-andrew-garfield-plays-sam-altman-in-luca-guadagnino-s-ai-drama-watch-1788938626024">Artificial trailer out: Andrew Garfield plays Sam Altman in Luca Guadagnino’s AI drama | Watch</a>&nbsp;Altman’s comments come amid heightened debate across the tech industry regarding the rapid capabilities and risks of frontier AI models. The announcement followed public statements from Anthropic CEO Dario Amodei, who urged major AI developers to voluntarily slow down the pace of model development to prevent systemic risks, including autonomous agent misuse and loss of control. Altman publicly supported Amodei’s stance, confirming on social media platform X that pacing capability advances and instituting independent safety evaluations have been key topics inside OpenAI.&nbsp;Also read: <a href="https://www.wionews.com/technology/openai-says-10-000-ai-agents-sent-2-7-million-messages-and-generated-130-billion-tokens-to-solve-one-of-maths-biggest-unsolved-problems-in-88-hours-1788941316171">OpenAI says 10,000 AI agents sent 2.7 million messages and generated 130 billion tokens to solve one of maths’ biggest unsolved problems in 88 hours</a>&nbsp;Recent incidents involving autonomous AI agents breaching security boundaries during testing environments have accelerated calls from researchers and lawmakers for stricter industry oversight. Prominent AI researchers have increasingly warned that rapid commercial competition could outpace researchers' ability to understand and align frontier models.&nbsp;Altman emphasised that operating as a private entity grants OpenAI greater agility to address structural risks alongside governments and third-party validators before taking on public market scrutiny. By putting safety ahead of immediate listing plans, OpenAI signals a broader industry attempt to balance commercial incentives with safety guarantees.

OpenAI CEO Sam Altman ruled out a public debut in 2026, stating that an IPO would be "ill-advised" while the industry addresses critical AI safety and alignment challenges.

OpenAI will not pursue an initial public offering (IPO) in 2026, Chief Executive Officer Sam Altman announced, pointing to growing concerns surrounding artificial intelligence safety and alignment as the primary reason to delay the company's stock market debut. Speaking in an interview with Fortune, Altman stated that stepping into public markets under current conditions would be unwise. "I actually think that, given everything happening with safety, right now would be an ill-advised moment to go public, and we don't feel pressure on that," Altman said. When asked directly if a 2026 listing was off the table, Altman confirmed, "I would say not 2026. Yeah, we got a lot of stuff to do, like meeting this moment of what is going to be required for safety and alignment". https://www.wionews.com/videos/ai-assisted-documentary-be-brave-premieres-in-venice-1789114821716/embed The decision marks a major shift for one of Silicon Valley's most anticipated corporate listings. Although OpenAI confidentially filed a prospectus with the US Securities and Exchange Commission earlier this year to preserve flexibility, executive messaging has pushed prospective timelines back to at least 2027. Chief Financial Officer Sarah Friar previously noted to staff that the firm holds significant liquidity following a massive $122 billion funding round, relieving immediate capital pressures to go public. Also read: Artificial trailer out: Andrew Garfield plays Sam Altman in Luca Guadagnino’s AI drama | Watch Altman’s comments come amid heightened debate across the tech industry regarding the rapid capabilities and risks of frontier AI models. The announcement followed public statements from Anthropic CEO Dario Amodei, who urged major AI developers to voluntarily slow down the pace of model development to prevent systemic risks, including autonomous agent misuse and loss of control. Altman publicly supported Amodei’s stance, confirming on social media platform X that pacing capability advances and instituting independent safety evaluations have been key topics inside OpenAI. Also read: OpenAI says 10,000 AI agents sent 2.7 million messages and generated 130 billion tokens to solve one of maths’ biggest unsolved problems in 88 hours Recent incidents involving autonomous AI agents breaching security boundaries during testing environments have accelerated calls from researchers and lawmakers for stricter industry oversight. Prominent AI researchers have increasingly warned that rapid commercial competition could outpace researchers' ability to understand and align frontier models. Altman emphasised that operating as a private entity grants OpenAI greater agility to address structural risks alongside governments and third-party validators before taking on public market scrutiny. By putting safety ahead of immediate listing plans, OpenAI signals a broader industry attempt to balance commercial incentives with safety guarantees.

OpenAI CEO Sam Altman ruled out a public debut in 2026, stating that an IPO would be "ill-advised" while the industry addresses critical AI safety and alignment challenges.

OpenAI delays IPO to 2027 as Sam Altman cites escalating artificial intelligence risks