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

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.&nbsp;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: <a href="https://www.wionews.com/world/-deeply-sorry-sam-altman-admits-openai-didn-t-report-canada-mass-shooter-s-chatgpt-account-1777096886118">‘Deeply sorry’: Sam Altman admits OpenAI didn’t report Canada mass shooter’s ChatGPT account</a>&nbsp;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.<h2>Open AI salaries and equity options for employees</h2>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;

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.

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.

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

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.&nbsp;<h2>What the new models do</h2>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.&nbsp;<h2>Move towards real-time AI agents</h2>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 conversationsTranslate speech instantlyPerform tasks while interacting with usersSuch capabilities could improve how businesses use AI in areas like support services, virtual assistants and communication tools.<h2>Early use cases and adoption</h2>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 detailsOpenAI 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.<h2>What this means for the future</h2>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.

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.

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.

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

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;<h2>What is GPT-5.5-Cyber and how is it different?</h2>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;<h2>How cybersecurity teams can use it</h2>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.<h2>Why access is limited</h2>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.<h2>Growing focus on AI in cybersecurity</h2>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.<h2>What this means for the industry</h2>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.

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.

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

A high-stakes legal battle is unfolding around OpenAI after failed settlement talks ahead of trial. Greg Brockman has revealed a reported $30 billion stake linked to the company and ties to Sam Altman, raising questions about governance. Elon Musk has alleged potential conflicts of interest, intensifying scrutiny. The case could reshape OpenAI’s structure, leadership, and future direction.


OpenAI Power Struggle: $30 Billion Stake Row Deepens as Musk Questions Independence

Elon Musk has taken the stand in a closely watched California courtroom battle involving OpenAI, the company he once helped establish. The high-stakes case centres on OpenAI’s structure, direction and long-term mission, with Musk arguing that the organisation has moved away from its original vision. The trial is being seen as a defining moment for the artificial intelligence industry, with experts saying the outcome could influence how powerful AI companies are governed in the future.


OpenAI Trial: Courtroom Exchange Raises Strategic Risks For Musk Team 

Musk vs OpenAI: Musk Alleges OpenAI Abandoned Public-Interest Mission

Elon Musk Testifies In Explosive OpenAI Trial That Could Reshape AI Industry

Google has signed a new artificial intelligence agreement with the Pentagon, joining firms like OpenAI and xAI in expanding military AI cooperation. The contract reportedly allows the technology to be used for “any lawful purpose,” highlighting Washington’s growing focus on integrating advanced AI into defence and security operations amid intensifying global tech competition.


Google Joins OpenAI And xAI In Pentagon AI Deals

Elon Musk has begun testifying in a major legal case against OpenAI and its leadership, including CEO Sam Altman and president Greg Brockman. The trial, taking place in a California federal court, is one of the most closely watched disputes in the artificial intelligence industry.<h2>What is the case about?</h2>The case centres on claims made by Musk that OpenAI has moved away from its original mission. OpenAI was founded with the aim of building artificial general intelligence (AGI) that benefits humanity. Musk, who was part of the founding team and invested about $38 million, argues that the company has shifted towards a profit-driven model.According to the lawsuit, Musk has raised concerns including:Alleged breach of OpenAI’s founding principlesClaims of unjust enrichmentConcerns over the company’s restructuring into a for-profit modelMusk has asked the court to remove Altman and Brockman from leadership roles and review OpenAI’s current structure.<h2>From partnership to rivalry</h2>Musk, Altman and Brockman were once part of the same founding group at OpenAI. However, differences soon emerged over the company’s direction, including discussions around whether OpenAI should be integrated with Tesla, which Musk leads. Musk later stepped away from OpenAI and went on to launch his own AI company, xAI, positioning it as a competitor in the same space.<h2>Who else could testify?</h2>The trial is expected to feature testimony from several major figures in the tech industry.These may include:Satya Nadella Kevin Scott Mira MuratiMicrosoft is also named in the case due to its partnership and investment in OpenAI.<h2>Why this case matters</h2>This trial goes beyond a personal dispute. It raises wider questions about how AI companies operate. At the centre of the debate is whether organisations developing advanced AI should:Remain focused on public benefitOr adopt commercial models to scale fasterThe outcome of the case could influence how future AI companies are structured and regulated.<h2>What happens next?</h2>The trial is expected to continue with more testimonies and legal arguments in the coming weeks.As both sides present their case, the court will examine:OpenAI’s organisational changes Financial structure Whether its actions align with its original missionFor now, Musk’s testimony marks a key moment in a case that could shape the future direction of the AI industry.

Elon Musk has begun testifying in a major US court case against OpenAI and its leadership. The trial, taking place in a California federal court, focuses on claims that OpenAI has shifted away from its original mission of building AI for public benefit and moved toward a profit-driven model.


Elon Musk has begun testifying in a major legal case against OpenAI and its leadership, including CEO Sam Altman and president Greg Brockman. The trial, taking place in a California federal court, is one of the most closely watched disputes in the artificial intelligence industry. What is the case about? The case centres on claims made by Musk that OpenAI has moved away from its original mission. OpenAI was founded with the aim of building artificial general intelligence (AGI) that benefits humanity. Musk, who was part of the founding team and invested about $38 million, argues that the company has shifted towards a profit-driven model. According to the lawsuit, Musk has raised concerns including: Alleged breach of OpenAI’s founding principles Claims of unjust enrichment Concerns over the company’s restructuring into a for-profit model Musk has asked the court to remove Altman and Brockman from leadership roles and review OpenAI’s current structure. From partnership to rivalry Musk, Altman and Brockman were once part of the same founding group at OpenAI. However, differences soon emerged over the company’s direction, including discussions around whether OpenAI should be integrated with Tesla, which Musk leads. Musk later stepped away from OpenAI and went on to launch his own AI company, xAI, positioning it as a competitor in the same space. Who else could testify? The trial is expected to feature testimony from several major figures in the tech industry. These may include: Satya Nadella Kevin Scott Mira Murati Microsoft is also named in the case due to its partnership and investment in OpenAI. Why this case matters This trial goes beyond a personal dispute. It raises wider questions about how AI companies operate. At the centre of the debate is whether organisations developing advanced AI should: Remain focused on public benefit Or adopt commercial models to scale faster The outcome of the case could influence how future AI companies are structured and regulated. What happens next? The trial is expected to continue with more testimonies and legal arguments in the coming weeks. As both sides present their case, the court will examine: OpenAI’s organisational changes Financial structure Whether its actions align with its original mission For now, Musk’s testimony marks a key moment in a case that could shape the future direction of the AI industry.

Elon Musk has begun testifying in a major US court case against OpenAI and its leadership. The trial, taking place in a California federal court, focuses on claims that OpenAI has shifted away from its original mission of building AI for public benefit and moved toward a profit-driven model.

Elon Musk challenges OpenAI’s shift to a profit model in court: What the case is about

Elon Musk’s legal fight against OpenAI has entered a major new phase after a jury was selected in California. Musk alleges the company abandoned its original mission and shifted away from the principles it was founded on. The closely watched case could have major implications for the future of artificial intelligence, corporate governance, and the battle over control of advanced AI systems.


Musk vs OpenAI: Elon Musk Claims OpenAI Betrayed Founding Mission

Elon Musk’s Legal Battle With OpenAI Intensifies As Jury Selected In California

The legal battle between Elon Musk and OpenAI is set to go to trial in the United States, marking a major moment in the ongoing dispute over the company’s direction and governance. Musk is reportedly seeking billions in financial disgorgement, while the case could also impact OpenAI’s structure and future IPO plans. The outcome may have wide-reaching consequences for the global artificial intelligence industry.


Musk vs OpenAI: Musk Claims He Was Misled Over OpenAI's Original Mission 

OpenAI CEO Sam Altman has issued a formal apology to the community of Tumbler Ridge, British Columbia, following a deadly mass shooting in February. In a letter dated April 23, Altman admitted that his company failed to alert the authorities to the disturbing conversations of the shooter with its chatbot ChatGPT despite the staff flagging the account internally. This comes months after the worst school shootings in Canada when an 18-year-old transgender woman shot her mother and stepbrother before open firing at a local school, killing eight people.The letter addressed to the community of Tumbler Ridge, where the shooting occurred, was posted by David Eby, the Premier of British Columbia province.<h2>‘Irreversible loss’</h2>“The pain your community has endured is unimaginable,” Altman said in the letter. “I want to express my deepest condolences to the entire community. No one should ever have to endure a tragedy like this. I cannot imagine anything worse in this world than losing a child. My heart remains with the victims, their families, all members of the community, and the province of British Columbia.”He further added, “I am deeply sorry that we did not alert law enforcement to the account that was banned in June. While I know words can never be enough, I believe an apology is necessary to recognise the harm and irreversible loss your community has suffered.”OpenAI CEO reaffirmed his commitment made to the Mayor and the Premier to find ways to “prevent tragedies like this in the future. “Going forward, our focus will continue to be on working with all levels of government to help ensure something like this never happens again,” he said.Eby called the apology “necessary, and yet grossly insufficient for the devastation done to the families of Tumbler Ridge.”

<blockquote class="twitter-tweet">OpenAI CEO Sam Altman issued an apology letter to the people of Tumbler Ridge. The apology is necessary, and yet grossly insufficient for the devastation done to the families of Tumbler Ridge. 1/2 <a href="https://t.co/bqHoqQ5j08">https://t.co/bqHoqQ5j08</a>&mdash; David Eby (@Dave_Eby) <a href="https://twitter.com/Dave_Eby/status/2047751590803886291?ref_src=twsrc%5Etfw">April 24, 2026</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<h2>Canada mass shooting</h2>On 10 February, Jesse Van Rootselaar killed her 39-year-old mother, Jennifer Jacobs, and 11-year-old stepbrother, Emmett Jacobs, in their northern British Columbia home before going to the nearby Tumbler Ridge Secondary School and opening fire before killing herself. Five children and an educator were killed in the mass shooting, while 25 others were also injured.&nbsp;

OpenAI CEO Sam Altman apologised for failing to alert authorities before the Tumbler Ridge mass shooting, as outrage grows over the tragedy that killed 8 and injured 25.

OpenAI CEO Sam Altman has issued a formal apology to the community of Tumbler Ridge, British Columbia, following a deadly mass shooting in February. In a letter dated April 23, Altman admitted that his company failed to alert the authorities to the disturbing conversations of the shooter with its chatbot ChatGPT despite the staff flagging the account internally. This comes months after the worst school shootings in Canada when an 18-year-old transgender woman shot her mother and stepbrother before open firing at a local school, killing eight people. The letter addressed to the community of Tumbler Ridge, where the shooting occurred, was posted by David Eby, the Premier of British Columbia province. ‘Irreversible loss’ “The pain your community has endured is unimaginable,” Altman said in the letter. “I want to express my deepest condolences to the entire community. No one should ever have to endure a tragedy like this. I cannot imagine anything worse in this world than losing a child. My heart remains with the victims, their families, all members of the community, and the province of British Columbia.” He further added, “I am deeply sorry that we did not alert law enforcement to the account that was banned in June. While I know words can never be enough, I believe an apology is necessary to recognise the harm and irreversible loss your community has suffered.” OpenAI CEO reaffirmed his commitment made to the Mayor and the Premier to find ways to “prevent tragedies like this in the future. “Going forward, our focus will continue to be on working with all levels of government to help ensure something like this never happens again,” he said. Eby called the apology “necessary, and yet grossly insufficient for the devastation done to the families of Tumbler Ridge.”

OpenAI CEO Sam Altman apologised for failing to alert authorities before the Tumbler Ridge mass shooting, as outrage grows over the tragedy that killed 8 and injured 25.

‘Deeply sorry’: Sam Altman admits OpenAI didn’t report Canada mass shooter’s ChatGPT account

Elon Musk, the billionaire owner of Tesla and X, is set to go to trial against Sam Altman and OpenAI in a case that could define the future direction of artificial intelligence development. The lawsuit centres on what Musk calls a “broken promise” by the company he co-founded in 2015.&nbsp;Musk argues that OpenAI has moved away from its original mission of developing artificial intelligence for the benefit of humanity. He claims that under Altman’s leadership, the organisation has shifted from a non-profit model to a closed-source, profit-driven structure closely linked to Microsoft.&nbsp;&nbsp;Musk says he invested about 100 million dollars in the early years to ensure that AI would not be controlled by a few large corporations.&nbsp;OpenAI and Altman have rejected the claims, calling the lawsuit a distraction driven by competition. They point out that Musk is now building his own AI venture, xAI, which directly competes with OpenAI. According to them, the legal challenge is an attempt to slow down the growth of tools like ChatGPT.&nbsp;Also Read: <a href="https://www.wionews.com/world/iran-weighing-proposal-aimed-at-satisfying-us-demands-trump-claims-ahead-of-second-round-of-talks-in-pakistan-1777059310739">Iran weighing proposal aimed at satisfying US demands, Trump claims ahead of second round of talks in Pakistan</a>&nbsp;The dispute has its roots in OpenAI’s early years, when Musk, Altman and researchers, including Ilya Sutskever, launched the organisation to counter the growing influence of Google in AI. Rising computing costs later put pressure on the model, and in 2019, Musk left the board after disagreements over control. Soon after, OpenAI created a capped profit structure to attract investment.&nbsp;The launch of ChatGPT in 2022 brought global attention and rapid growth, backed by a reported $13 billion investment from Microsoft. The company also saw internal turmoil in 2023 when Altman was briefly removed and then reinstated after employee backlash.&nbsp;The case, expected to be closely watched when it proceeds on April 27, will test Musk’s claim that he was misled into supporting a project that has now shifted towards profit. OpenAI maintains that the case lacks legal merit and reflects Musk’s own business interests as competition in the AI sector intensifies.

Musk argues that OpenAI has moved away from its original mission of developing artificial intelligence for the benefit of humanity.

Elon Musk, the billionaire owner of Tesla and X, is set to go to trial against Sam Altman and OpenAI in a case that could define the future direction of artificial intelligence development. The lawsuit centres on what Musk calls a “broken promise” by the company he co-founded in 2015. Musk argues that OpenAI has moved away from its original mission of developing artificial intelligence for the benefit of humanity. He claims that under Altman’s leadership, the organisation has shifted from a non-profit model to a closed-source, profit-driven structure closely linked to Microsoft. Musk says he invested about 100 million dollars in the early years to ensure that AI would not be controlled by a few large corporations. OpenAI and Altman have rejected the claims, calling the lawsuit a distraction driven by competition. They point out that Musk is now building his own AI venture, xAI, which directly competes with OpenAI. According to them, the legal challenge is an attempt to slow down the growth of tools like ChatGPT. Also Read: Iran weighing proposal aimed at satisfying US demands, Trump claims ahead of second round of talks in Pakistan The dispute has its roots in OpenAI’s early years, when Musk, Altman and researchers, including Ilya Sutskever, launched the organisation to counter the growing influence of Google in AI. Rising computing costs later put pressure on the model, and in 2019, Musk left the board after disagreements over control. Soon after, OpenAI created a capped profit structure to attract investment. The launch of ChatGPT in 2022 brought global attention and rapid growth, backed by a reported $13 billion investment from Microsoft. The company also saw internal turmoil in 2023 when Altman was briefly removed and then reinstated after employee backlash. The case, expected to be closely watched when it proceeds on April 27, will test Musk’s claim that he was misled into supporting a project that has now shifted towards profit. OpenAI maintains that the case lacks legal merit and reflects Musk’s own business interests as competition in the AI sector intensifies.

Musk argues that OpenAI has moved away from its original mission of developing artificial intelligence for the benefit of humanity.

Musk vs Altman AI clash heads to court on April 27 in OpenAI legal battle

Elon Musk's lawsuit against OpenAI, set for a jury trial on April 27, 2026, alleges that the company abandoned its founding mission to develop artificial intelligence for the benefit of humanity in favor of maximizing profits for Microsoft. The lawsuit seeks to remove CEO Sam Altman, reverse the company's for-profit pivot, and return "ill-gotten gains" to the non-profit. 


Elon Musk Takes OpenAI To Court; What The Lawsuit Alleges?

Elon Musk Versus OpenAI Trial Set To Begin In US 

OpenAI has introduced ChatGPT Images 2.0, a new image-generation model designed to improve how visuals are created inside ChatGPT. Announced on April 21, 2026, the update focuses on accuracy, better understanding of instructions, and improved visual reasoning. The model moves beyond simple image creation and aims to produce structured, design-ready visuals.&nbsp;<h2>Stronger instruction handling and detailed outputs</h2>One of the biggest changes in ChatGPT Images 2.0 is how well it follows instructions.The model can now: Place objects more accuratelyMaintain consistent layoutsHandle complex scenes with multiple elementsIt also improves smaller details that were earlier difficult to generate. This includes clear text, icons, and user interface elements, making the visuals more useful for real work such as presentations and design projects.&nbsp;<h2>New reasoning capability improves results</h2>The update introduces a “thinking” feature, especially when used with reasoning-enabled modes.This allows the system to:Understand complex prompts more clearlyGenerate multiple versions from a single requestUse web-based context for better outputsAs a result, users can now create multi-page comics, visual explainers, and structured designs more easily.&nbsp;Better visual quality and higher resolutionChatGPT Images 2.0 also improves overall image quality.The model can produce:Photorealistic imagesCinematic scenesStylised visuals such as manga or pixel artIt also offers outputs of up to 2K resolution through the API, which improves clarity and makes images more suitable for professional use.&nbsp;<h2>What’s new compared to Images 1.5</h2>Compared to earlier versions, the focus has shifted from just visual appeal to precision and usability. In previous versions, users often faced issues with:Incorrect text in images Poor layout structure Inconsistent designsChatGPT Images 2.0 addresses these problems by improving text accuracy, layout control, and consistency across multiple outputs.&nbsp;Improved multilingual supportAnother important upgrade is better support for multiple languages. Earlier versions worked best with English, but the new model improves accuracy in non-Latin languages as well. This makes it more useful for global users creating content in different languages.&nbsp;<h2>Why this matters</h2>The launch of ChatGPT Images 2.0 shows how image generation tools are becoming more practical for everyday use. Instead of just creating experimental visuals, the focus is now on:Real-world usability Structured design Reliable outputsThis could help professionals in design, education, marketing, and storytelling create visuals faster while maintaining quality. As AI tools continue to improve, systems like ChatGPT Images 2.0 are likely to become a regular part of creative and technical workflows&nbsp;

OpenAI has launched ChatGPT Images 2.0, a major upgrade to its image-generation system announced on April 21, 2026. The new model focuses on accuracy, structured design and better reasoning, moving beyond basic image creation to produce design-ready visuals. 

OpenAI has introduced ChatGPT Images 2.0, a new image-generation model designed to improve how visuals are created inside ChatGPT. Announced on April 21, 2026, the update focuses on accuracy, better understanding of instructions, and improved visual reasoning. The model moves beyond simple image creation and aims to produce structured, design-ready visuals. Stronger instruction handling and detailed outputs One of the biggest changes in ChatGPT Images 2.0 is how well it follows instructions. The model can now: Place objects more accurately Maintain consistent layouts Handle complex scenes with multiple elements It also improves smaller details that were earlier difficult to generate. This includes clear text, icons, and user interface elements, making the visuals more useful for real work such as presentations and design projects. New reasoning capability improves results The update introduces a “thinking” feature, especially when used with reasoning-enabled modes. This allows the system to: Understand complex prompts more clearly Generate multiple versions from a single request Use web-based context for better outputs As a result, users can now create multi-page comics, visual explainers, and structured designs more easily. Better visual quality and higher resolution ChatGPT Images 2.0 also improves overall image quality. The model can produce: Photorealistic images Cinematic scenes Stylised visuals such as manga or pixel art It also offers outputs of up to 2K resolution through the API, which improves clarity and makes images more suitable for professional use. What’s new compared to Images 1.5 Compared to earlier versions, the focus has shifted from just visual appeal to precision and usability. In previous versions, users often faced issues with: Incorrect text in images Poor layout structure Inconsistent designs ChatGPT Images 2.0 addresses these problems by improving text accuracy, layout control, and consistency across multiple outputs. Improved multilingual support Another important upgrade is better support for multiple languages. Earlier versions worked best with English, but the new model improves accuracy in non-Latin languages as well. This makes it more useful for global users creating content in different languages. Why this matters The launch of ChatGPT Images 2.0 shows how image generation tools are becoming more practical for everyday use. Instead of just creating experimental visuals, the focus is now on: Real-world usability Structured design Reliable outputs This could help professionals in design, education, marketing, and storytelling create visuals faster while maintaining quality. As AI tools continue to improve, systems like ChatGPT Images 2.0 are likely to become a regular part of creative and technical workflows

OpenAI has launched ChatGPT Images 2.0, a major upgrade to its image-generation system announced on April 21, 2026. The new model focuses on accuracy, structured design and better reasoning, moving beyond basic image creation to produce design-ready visuals.&nbsp;

OpenAI launches ChatGPT Images 2.0: How the new image model could transform design, education, and storytelling

Recently, OpenAI CEO Sam Altman was ‘exposed’ as a tech founder with minimal technological skills. But he got company in Steve Jobs, Jack Ma and other tech leaders,  who built major companies through vision, leadership, and strategy despite limited coding or programming expertise

Recently, OpenAI CEO Sam Altman was ‘exposed’ as a tech founder with minimal technological skills. But he got company in Steve Jobs, Jack Ma and other tech leaders, &nbsp;who built major companies through vision, leadership, and strategy despite limited coding or programming expertise

Sam Altman's coding abilities are minimal, yet he runs OpenAI. He's not alone. These top tech bosses have limited IT skills

Elon Musk recently shared an interview with Robin Farrow, who wrote a 'hit piece' on Sam Altman, the CEO of OpenAI, the artificial intelligence firm behind ChatGPT. In the interview, the Pulitzer Prize-winning journalist behind the Harvey Weinstein sexual abuse exposé that sparked the MeToo movement, said that former associates of Altman described him as a sociopath and a pathological liar. Sharing the interview, the X chief, who was part of the founding team of OpenAI, said this man cannot be trusted with a superpowerful AI.&nbsp;<h2>Sam Altman accused of excessive lying</h2>Musk posted the Farrow interview, in which the journalist from The New Yorker highlighted allegations of repeated dishonesty, exaggeration, and misleading statements to board members and partners by Altman. Farrow claimed that Altman was fired from OpenAI in 2023 - before being reinstated - partly for excessive lying. He also spoke about untested AI models being released to India, and false assurances on AI safety provisions, under Altman. While sharing the interview, Musk wrote: "Not someone you want in charge of superpowerful AI."<h2>Farrow's allegations against Sam Altman</h2>Farrow made several allegations in a piece for the New Yorker, titled "Sam Altman May Control Our Future—Can He Be Trusted?". Written by Farrow along with Andrew Marantz and published on 6 April, the article came after 18 months of reporting and investigation. It is based on interviews with more than 100 people, including former and current OpenAI board members, executives, employees, investors, and colleagues. The article also claims to have reviewed previously undisclosed internal documents. This includes the “Ilya memos”, which contain Ilya Sutskever’s Slack messages and HR documents. Also reviewed were the private notes kept by Dario Amodei, the co-founder of rival AI firm Anthropic. Amodei was previously associated with OpenAI.The article questioned whether Altman can be trusted with control over transformative AI technology, in the context that artificial general intelligence (AGI) could be humanity’s most dangerous invention and thus would require a leader of “uncommon integrity” to run a company like OpenAI.<h2>AI, leadership and integrity: Sam Altman is “unconstrained by the truth”</h2>The article seeks to establish a pattern of deception, manipulation, and prioritisation of power and profit over safety commitments in Altman’s conduct. It claims that this pattern has been repeated across his career, from Loopt to Y Combinator and now OpenAI.Altman allegedly drifted from the AI safety mission, pushing aggressively for deals with businesses and governments.Also read: <a href="https://www.wionews.com/technology/openai-brings-chatgpt-to-apple-carplay-for-hands-free-voice-interaction-while-driving-1775153637555">OpenAI brings ChatGPT to Apple CarPlay for hands-free voice interaction while driving</a><h2>Sam Altman had a consistent pattern of lying and misrepresentation</h2>In late 2022, Altman told the board that certain controversial features in an upcoming AI model had been approved by OpenAI’s safety panel. After board member Helen Toner asked for documentation, it turned out that the most controversial features had not been approved.Altman told Mira Murati that ChatGPT's GPT-4 Turbo model didn’t need safety approval, citing general counsel Jason Kwon. However, Kwon later said he was “confused” and had no idea where Altman got that idea. In his private notes, running to more than 200 pages, Dario Amodei documented several incidents, including one involving the 2019 Microsoft deal with OpenAI. Amodei wrote that Altman’s words were “almost certainly bulls***t”.<a href="https://www.wionews.com/videos/openai-to-introduce-ads-on-chatgpt-as-new-revenue-stream-1774169954470/embed">https://www.wionews.com/videos/openai-to-introduce-ads-on-chatgpt-as-new-revenue-stream-1774169954470/embed</a><h2>The betrayal of OpenAI’s nonprofit and safety mission</h2>Some OpenAI founders, including Altman, privately doubted its nonprofit structure early on, according to the report. Greg Brockman wrote in his diary: "If three months later, we’re doing B-corp, then it was a lie."One researcher reportedly told the board: “OpenAI has been going off the rails on its mission... We are prioritising product and revenue above all else.”<h2>Altman's deception and manipulation go back to his first startup</h2>According to the report, employees at his first start-up, Loopt, went to the board twice asking to fire Altman over a lack of transparency and a tendency for exaggeration. This included claiming he was a “Missouri high-school ping-pong champion” when he was not. He inspired loyalty in others but was accused of blurring the truth.During his time at Y Combinator, partners complained of divided loyalties, with Altman making personal investments while serving as president. Paul Graham, co-founder of Y Combinator, reportedly told colleagues Altman “had been lying to us all the time”.Altman was later pushed out as president but resisted and remained listed as chairman in SEC filings until 2021, which he said he was unaware of.Also read: <a href="https://www.wionews.com/entertainment/hollywood/disney-exits-from-openai-deal-here-s-what-happened-1774549684205">Disney exits from OpenAI deal? Here's what happened</a><h2>Sam Altman's aggressive business dealings with questionable partners, and lobbying against regulation</h2>Altman reportedly sought funding and deals with Gulf autocracies in Saudi Arabia and the UAE for massive data-centre projects, despite security red flags. He internally discussed “playing world powers like China and Russia against each other in a bidding war for AI technology, according to the report. This plan was dropped after employee pushback.At one point, he claimed, without evidence, that China had an “AGI Manhattan Project”.Altman lobbied against AI regulation such as the European Union AI Act and bills in California, even as he publicly supported AI safety, said the report.&nbsp;<h2>Sister's abuse accusations and more: Sam Altman's personal character under scanner</h2>Sources cited in Farrow's reportage and interviews described Altman as having a “sociopathic lack of concern for the consequences”, and a desperate need to be liked.The article notes deeply personal allegations from Altman’s sister Annie, including of sexual abuse, which Altman fought in the courts. He denied the allegations. There were unsubstantiated Silicon Valley rumours involving minors, on which no evidence was found by the New Yorker reporters.<h2>Altman's board coup: He was ousted in 2023, but was reinstated, with limited probe</h2>Altman was fired as OpenAI CEO in 2023 by the board, citing a lack of candour. But he quickly returned to the position after organising a counter-campaign. He made Thrive Capital’s $86 billion investment in OpenAI conditional on his return, among other factors. He was reinstated within five days, with the board that ousted him practically disbanded. The subsequent “independent” WilmerHale review, overseen by new board members chosen in consultation with Altman, produced no written report. An 800-word announcement only cited a “breakdown in trust” without explicitly blaming Altman.<h2>‘Can't change my personality’: Altman’s response to allegations on his leadership, personal qualities</h2>Altman attributed the criticism of him to his avoidance of conflict. He said he “can’t change my personality”, and denied lying.He maintained that OpenAI would continue to run safety projects, “or at least safety-adjacent projects”.He also characterised OpenAI's shift to for-profit operations and aggressive deal-making as normal competitive business rather than a betrayal.The New Yorker article does not portray Altman as cartoonishly evil. It presents a complex, high-achieving figure whose traits led to breakdowns in trust. It suggests he exhibits a “reality-distortion field” and ruthless ambition.

Elon Musk has shared a Robin Farrow interview citing allegations against Sam Altman, appearing to agree with the contents of Farrow's New Yorker ‘hit piece’ on the OpenAI CEO. Altman is accused of dishonesty, with the article questioning his leadership amid AI integrity and safety issues.

Elon Musk recently shared an interview with Robin Farrow, who wrote a 'hit piece' on Sam Altman, the CEO of OpenAI, the artificial intelligence firm behind ChatGPT. In the interview, the Pulitzer Prize-winning journalist behind the Harvey Weinstein sexual abuse exposé that sparked the MeToo movement, said that former associates of Altman described him as a sociopath and a pathological liar. Sharing the interview, the X chief, who was part of the founding team of OpenAI, said this man cannot be trusted with a superpowerful AI. Sam Altman accused of excessive lying Musk posted the Farrow interview, in which the journalist from The New Yorker highlighted allegations of repeated dishonesty, exaggeration, and misleading statements to board members and partners by Altman. Farrow claimed that Altman was fired from OpenAI in 2023 - before being reinstated - partly for excessive lying. He also spoke about untested AI models being released to India, and false assurances on AI safety provisions, under Altman. While sharing the interview, Musk wrote: "Not someone you want in charge of superpowerful AI." Farrow's allegations against Sam Altman Farrow made several allegations in a piece for the New Yorker, titled "Sam Altman May Control Our Future—Can He Be Trusted?". Written by Farrow along with Andrew Marantz and published on 6 April, the article came after 18 months of reporting and investigation. It is based on interviews with more than 100 people, including former and current OpenAI board members, executives, employees, investors, and colleagues. The article also claims to have reviewed previously undisclosed internal documents. This includes the “Ilya memos”, which contain Ilya Sutskever’s Slack messages and HR documents. Also reviewed were the private notes kept by Dario Amodei, the co-founder of rival AI firm Anthropic. Amodei was previously associated with OpenAI. The article questioned whether Altman can be trusted with control over transformative AI technology, in the context that artificial general intelligence (AGI) could be humanity’s most dangerous invention and thus would require a leader of “uncommon integrity” to run a company like OpenAI. AI, leadership and integrity: Sam Altman is “unconstrained by the truth” The article seeks to establish a pattern of deception, manipulation, and prioritisation of power and profit over safety commitments in Altman’s conduct. It claims that this pattern has been repeated across his career, from Loopt to Y Combinator and now OpenAI. Altman allegedly drifted from the AI safety mission, pushing aggressively for deals with businesses and governments. Also read: OpenAI brings ChatGPT to Apple CarPlay for hands-free voice interaction while driving Sam Altman had a consistent pattern of lying and misrepresentation In late 2022, Altman told the board that certain controversial features in an upcoming AI model had been approved by OpenAI’s safety panel. After board member Helen Toner asked for documentation, it turned out that the most controversial features had not been approved. Altman told Mira Murati that ChatGPT's GPT-4 Turbo model didn’t need safety approval, citing general counsel Jason Kwon. However, Kwon later said he was “confused” and had no idea where Altman got that idea. In his private notes, running to more than 200 pages, Dario Amodei documented several incidents, including one involving the 2019 Microsoft deal with OpenAI. Amodei wrote that Altman’s words were “almost certainly bulls***t”. https://www.wionews.com/videos/openai-to-introduce-ads-on-chatgpt-as-new-revenue-stream-1774169954470/embed The betrayal of OpenAI’s nonprofit and safety mission Some OpenAI founders, including Altman, privately doubted its nonprofit structure early on, according to the report. Greg Brockman wrote in his diary: "If three months later, we’re doing B-corp, then it was a lie." One researcher reportedly told the board: “OpenAI has been going off the rails on its mission... We are prioritising product and revenue above all else.” Altman's deception and manipulation go back to his first startup According to the report, employees at his first start-up, Loopt, went to the board twice asking to fire Altman over a lack of transparency and a tendency for exaggeration. This included claiming he was a “Missouri high-school ping-pong champion” when he was not. He inspired loyalty in others but was accused of blurring the truth. During his time at Y Combinator, partners complained of divided loyalties, with Altman making personal investments while serving as president. Paul Graham, co-founder of Y Combinator, reportedly told colleagues Altman “had been lying to us all the time”. Altman was later pushed out as president but resisted and remained listed as chairman in SEC filings until 2021, which he said he was unaware of. Also read: Disney exits from OpenAI deal? Here's what happened Sam Altman's aggressive business dealings with questionable partners, and lobbying against regulation Altman reportedly sought funding and deals with Gulf autocracies in Saudi Arabia and the UAE for massive data-centre projects, despite security red flags. He internally discussed “playing world powers like China and Russia against each other in a bidding war for AI technology, according to the report. This plan was dropped after employee pushback. At one point, he claimed, without evidence, that China had an “AGI Manhattan Project”. Altman lobbied against AI regulation such as the European Union AI Act and bills in California, even as he publicly supported AI safety, said the report. Sister's abuse accusations and more: Sam Altman's personal character under scanner Sources cited in Farrow's reportage and interviews described Altman as having a “sociopathic lack of concern for the consequences”, and a desperate need to be liked. The article notes deeply personal allegations from Altman’s sister Annie, including of sexual abuse, which Altman fought in the courts. He denied the allegations. There were unsubstantiated Silicon Valley rumours involving minors, on which no evidence was found by the New Yorker reporters. Altman's board coup: He was ousted in 2023, but was reinstated, with limited probe Altman was fired as OpenAI CEO in 2023 by the board, citing a lack of candour. But he quickly returned to the position after organising a counter-campaign. He made Thrive Capital’s $86 billion investment in OpenAI conditional on his return, among other factors. He was reinstated within five days, with the board that ousted him practically disbanded. The subsequent “independent” WilmerHale review, overseen by new board members chosen in consultation with Altman, produced no written report. An 800-word announcement only cited a “breakdown in trust” without explicitly blaming Altman. ‘Can't change my personality’: Altman’s response to allegations on his leadership, personal qualities Altman attributed the criticism of him to his avoidance of conflict. He said he “can’t change my personality”, and denied lying. He maintained that OpenAI would continue to run safety projects, “or at least safety-adjacent projects”. He also characterised OpenAI's shift to for-profit operations and aggressive deal-making as normal competitive business rather than a betrayal. The New Yorker article does not portray Altman as cartoonishly evil. It presents a complex, high-achieving figure whose traits led to breakdowns in trust. It suggests he exhibits a “reality-distortion field” and ruthless ambition.

Elon Musk has shared a Robin Farrow interview citing allegations against Sam Altman, appearing to agree with the contents of Farrow's New Yorker ‘hit piece’ on the OpenAI CEO. Altman is accused of dishonesty, with the article questioning his leadership amid AI integrity and safety issues.

Sam Altman a sociopath, pathological liar and abuser? Musk agrees to claims on OpenAI chief's past and leadership

Artificial intelligence is gradually becoming part of everyday driving experiences. OpenAI has introduced ChatGPT support for Apple CarPlay, allowing drivers to interact with the chatbot directly from their car dashboard using voice.The update follows changes introduced by Apple in iOS 26.4, which expanded Apple CarPlay capabilities for third-party conversational applications. With the new integration, users can ask questions or request information through voice commands while driving, without needing to touch their phones.<h2>How ChatGPT works on Apple CarPlay</h2>The feature works through a compatible iPhone connected to Apple CarPlay.Drivers can open the ChatGPT app on the CarPlay dashboard and start speaking queries. The chatbot processes spoken questions and delivers responses through the car’s audio system.This design allows hands-free interaction, which aligns with Apple’s broader goal of reducing distractions while driving.However, there is currently no wake-word support. This means users must first open the ChatGPT app manually before giving voice commands.Once activated, drivers can ask questions about general knowledge, travel information, weather updates or other topics while keeping their hands on the wheel.<h2>What ChatGPT can and cannot do in cars</h2>While the integration expands AI use inside vehicles, the feature comes with clear limitations.ChatGPT on CarPlay cannot control car functions or phone settings. It does not operate vehicle systems such as navigation, music playback or climate control. The chatbot’s role is limited to answering questions or generating information through conversation.According to OpenAI, this design choice ensures the system focuses on information support rather than controlling critical vehicle functions.<h2>Why Apple opened CarPlay to conversational apps</h2>The integration became possible after Apple updated CarPlay policies in iOS 26.4, allowing conversational AI apps to operate through the dashboard interface.Industry analysts say the move reflects a wider shift toward AI-assisted driving experiences. Technology companies are exploring ways to embed conversational AI into cars, smartphones and other everyday devices.Hands-free systems are considered particularly important in vehicles, where driver safety remains a priority.<h2>AI assistants are moving into vehicles</h2>ChatGPT’s arrival on CarPlay highlights how AI assistants are expanding beyond smartphones and computers.Car manufacturers and technology companies are increasingly experimenting with AI tools that can answer questions, provide recommendations and assist drivers during journeys.For now, the CarPlay version of ChatGPT focuses on voice-based conversation rather than deeper vehicle integration. But the development signals how AI assistants may become a common feature in digital dashboards. As automotive technology evolves, AI systems may gradually play a larger role in helping drivers access information without taking their attention away from the road.

OpenAI has introduced ChatGPT support for Apple CarPlay, allowing drivers to interact with the chatbot directly from their vehicle dashboard using voice. Enabled by Apple’s iOS 26.4 update, the feature lets users ask questions hands-free while driving. 

Artificial intelligence is gradually becoming part of everyday driving experiences. OpenAI has introduced ChatGPT support for Apple CarPlay, allowing drivers to interact with the chatbot directly from their car dashboard using voice. The update follows changes introduced by Apple in iOS 26.4, which expanded Apple CarPlay capabilities for third-party conversational applications. With the new integration, users can ask questions or request information through voice commands while driving, without needing to touch their phones. How ChatGPT works on Apple CarPlay The feature works through a compatible iPhone connected to Apple CarPlay. Drivers can open the ChatGPT app on the CarPlay dashboard and start speaking queries. The chatbot processes spoken questions and delivers responses through the car’s audio system. This design allows hands-free interaction, which aligns with Apple’s broader goal of reducing distractions while driving. However, there is currently no wake-word support. This means users must first open the ChatGPT app manually before giving voice commands. Once activated, drivers can ask questions about general knowledge, travel information, weather updates or other topics while keeping their hands on the wheel. What ChatGPT can and cannot do in cars While the integration expands AI use inside vehicles, the feature comes with clear limitations. ChatGPT on CarPlay cannot control car functions or phone settings. It does not operate vehicle systems such as navigation, music playback or climate control. The chatbot’s role is limited to answering questions or generating information through conversation. According to OpenAI, this design choice ensures the system focuses on information support rather than controlling critical vehicle functions. Why Apple opened CarPlay to conversational apps The integration became possible after Apple updated CarPlay policies in iOS 26.4, allowing conversational AI apps to operate through the dashboard interface. Industry analysts say the move reflects a wider shift toward AI-assisted driving experiences. Technology companies are exploring ways to embed conversational AI into cars, smartphones and other everyday devices. Hands-free systems are considered particularly important in vehicles, where driver safety remains a priority. AI assistants are moving into vehicles ChatGPT’s arrival on CarPlay highlights how AI assistants are expanding beyond smartphones and computers. Car manufacturers and technology companies are increasingly experimenting with AI tools that can answer questions, provide recommendations and assist drivers during journeys. For now, the CarPlay version of ChatGPT focuses on voice-based conversation rather than deeper vehicle integration. But the development signals how AI assistants may become a common feature in digital dashboards. As automotive technology evolves, AI systems may gradually play a larger role in helping drivers access information without taking their attention away from the road.

OpenAI has introduced ChatGPT support for Apple CarPlay, allowing drivers to interact with the chatbot directly from their vehicle dashboard using voice. Enabled by Apple’s iOS 26.4 update, the feature lets users ask questions hands-free while driving.&nbsp;

OpenAI brings ChatGPT to Apple CarPlay for hands-free voice interaction while driving

American multinational media and entertainment conglomerate Walt Disney, which had earlier taken everyone by surprise for the deal with a $1 billion equity investment in OpenAI and allowing users to make videos and more. With so much hype around the investment, reports have surfaced that the company might have backed out from it.<h2>Did Disney back out from the OpenAI investment deal?</h2>Sora, the AI video-generating app from OpenAI, is closing down, as it announced on social media. The statement read, "We’re saying goodbye to the Sora app. To everyone who created with Sora, shared it, and built community around it: thank you. What you made with Sora mattered, and we know this news is disappointing. We’ll share more soon, including timelines for the app and API and details on preserving your work."&nbsp;Also Read: <a href="https://www.wionews.com/photos/-1-billion-to-openai-is-disney-signing-a-death-warrant-for-its-artists-as-characters-move-to-sora-s-generator-1765466814612">'$1 billion to OpenAI': Is Disney signing a 'death warrant' for its artists as characters move to Sora's generator?</a>

<blockquote class="twitter-tweet">We’re saying goodbye to the Sora app. To everyone who created with Sora, shared it, and built community around it: thank you. What you made with Sora mattered, and we know this news is disappointing. We’ll share more soon, including timelines for the app and API and details on…&mdash; Sora (@soraofficialapp) <a href="https://twitter.com/soraofficialapp/status/2036546752535470382?ref_src=twsrc%5Etfw">March 24, 2026</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

However, the shutdown announcement drew sharp reactions. One user wrote, "We will dance on your grave and sing songs of your demise." Another user wrote, "Why are people happy about this, please?" "The community built around Sora was real, and the work people made was genuinely impressive. Hope the API lives on- the creative potential was only getting started." "I see this as great news! "Less AI slop content!", wrote the third user.&nbsp;Also Read: <a href="https://www.wionews.com/entertainment/hollywood/disney-seals-1-billion-deal-with-openai-to-power-next-gen-ai-content-here-s-what-we-know-1765469262103">Disney seals $1 Billion deal with OpenAI to power next-gen AI content; Here's what we know</a>&nbsp;The main reason for shutting down might be because of reports of Disney exiting the investment deal it had with Sam Altman's company.<h2>All about the deal of Disney and OpenAI</h2>According to an earlier report by Reuters, the Walt Disney Company was investing $1 billion in OpenAI and will let the startup use characters from the Star Wars, Pixar and Marvel franchises in its Sora AI video generator, a crucial deal that could reshape how Hollywood makes content.&nbsp;Also Read: <a href="https://www.wionews.com/business-economy/disney-to-pay-10-million-to-settle-privacy-allegation-over-children-s-videos-on-youtube-1767174844315">Disney to pay $10 million to settle privacy allegation over children’s videos on YouTube</a>&nbsp;Reportedly, as per the three-year partnership, it is a pivotal step in Hollywood's embrace of generative artificial intelligence, side-stepping the industry's concerns over the impact of AI on creative jobs and intellectual property rights.&nbsp;Also Read: <a href="https://www.wionews.com/videos/disney-channels-pulled-from-youtube-tv-1761917000460">Disney channels pulled from YouTube TV</a>&nbsp;Moreover, alongside the licensing agreement, reportedly, Disney will become a major customer of OpenAI, using its APIs to build new products, tools and experiences, including for Disney+, and deploying ChatGPT for its employees.

The Walt Disney Company, which had earlier made a deal with OpenAI, has reportedly exited it. But what led to backing out of this? Read to know more.

American multinational media and entertainment conglomerate Walt Disney, which had earlier taken everyone by surprise for the deal with a $1 billion equity investment in OpenAI and allowing users to make videos and more. With so much hype around the investment, reports have surfaced that the company might have backed out from it. Did Disney back out from the OpenAI investment deal? Sora, the AI video-generating app from OpenAI, is closing down, as it announced on social media. The statement read, "We’re saying goodbye to the Sora app. To everyone who created with Sora, shared it, and built community around it: thank you. What you made with Sora mattered, and we know this news is disappointing. We’ll share more soon, including timelines for the app and API and details on preserving your work." Also Read: '$1 billion to OpenAI': Is Disney signing a 'death warrant' for its artists as characters move to Sora's generator?

The Walt Disney Company, which had earlier made a deal with OpenAI, has reportedly exited it. But what led to backing out of this? Read to know more.

Disney exits from OpenAI deal? Here's what happened

OpenAI has begun testing ads for ChatGPT users on its Free and Go subscription tiers in the US. In a post on X (formerly Twitter), the company said that ads do not influence ChatGPT’s answers and are clearly labelled as sponsored, with visual separation from responses. OpenAI said the goal of introducing ads is to keep ChatGPT free for a wider audience with fewer usage limits. The change applies only to lower-cost plans, while paid tiers such as Plus, Pro, Business, Enterprise, and Education will remain ad-free.


OpenAI To Introduce ADs on ChatGPT as New Revenue Stream

Artificial intelligence could soon become a basic service similar to electricity or water, according to Sam Altman, the chief executive of OpenAI. Speaking at the BlackRock US Infrastructure Summit in Washington DC, Altman said future users may pay for AI based on how much they use it, much like electricity consumption.In his view, artificial intelligence could gradually shift from being seen as a complex technology to becoming a simple everyday service.“We see a future where intelligence is a utility like electricity or water and people buy it from us on a meter,” Altman said during the event.<h2>AI could become a metered service</h2>Altman suggested that instead of paying a fixed monthly subscription, users might eventually pay for AI based on usage.This model would work similarly to electricity or water billing. The more computing power a person or company consumes, the more they pay.Such a model would allow businesses and individuals to access powerful AI tools without committing to expensive long-term plans.Many technology companies already follow a similar approach in cloud computing services, where customers pay based on processing power or data usage.

<h2>AI already transforming workplaces</h2>According to Altman, AI systems are rapidly changing how work gets done in several industries.One of the clearest examples is software development. AI tools can now generate code and complete tasks that might take human engineers several hours.But coding is only one part of the transformation.<h2>AI is also being used for:</h2>Scientific researchData analysisBusiness planningWriting and documentationCustomer service automation

In companies, employees are spending less time performing technical tasks and more time guiding AI systems that carry out the work. Altman said this trend could expand further as AI models become more capable. AI may soon handle longer and more complex projectsAt present, many AI systems can complete tasks that normally take a few hours.However, Altman expects these systems to soon handle projects that take several days or even weeks.This shift would allow AI tools to manage more complex workflows, from research and planning to coding and product development.Altman also said he personally uses AI frequently while working at OpenAI. When he develops new product ideas or business strategies, he often asks AI systems for feedback before discussing them with colleagues.<h2>The infrastructure behind AI</h2>Although the future may look simple for users, the technology behind AI requires enormous infrastructure.Large AI models run in massive data centres filled with specialised hardware such as GPUs. These facilities consume significant amounts of electricity and require complex cooling and maintenance systems.Altman described them as large campuses where thousands of workers help build and maintain computing infrastructure.To support growing demand, OpenAI has been expanding partnerships with companies including Nvidia, Amazon, and SoftBank.These partnerships help provide the computing power needed to train and run advanced AI models.<h2>Making AI widely accessible</h2>Altman said the long-term goal is to make AI available to as many people as possible.If AI becomes as common as electricity, people may stop thinking about the technology itself. Instead, they will simply use it whenever they need help writing, analysing information, solving problems or building products.For Altman, this shift could mark the next stage of the AI industry where intelligence becomes a widely available service rather than a specialised tool.

OpenAI CEO Sam Altman said artificial intelligence could eventually become a basic utility similar to electricity or water. Speaking at the BlackRock US Infrastructure Summit, Altman suggested future users may pay for AI based on usage, rather than fixed subscriptions. 

Artificial intelligence could soon become a basic service similar to electricity or water, according to Sam Altman, the chief executive of OpenAI. Speaking at the BlackRock US Infrastructure Summit in Washington DC, Altman said future users may pay for AI based on how much they use it, much like electricity consumption. In his view, artificial intelligence could gradually shift from being seen as a complex technology to becoming a simple everyday service. “We see a future where intelligence is a utility like electricity or water and people buy it from us on a meter,” Altman said during the event. AI could become a metered service Altman suggested that instead of paying a fixed monthly subscription, users might eventually pay for AI based on usage. This model would work similarly to electricity or water billing. The more computing power a person or company consumes, the more they pay. Such a model would allow businesses and individuals to access powerful AI tools without committing to expensive long-term plans. Many technology companies already follow a similar approach in cloud computing services, where customers pay based on processing power or data usage.

OpenAI CEO Sam Altman said artificial intelligence could eventually become a basic utility similar to electricity or water. Speaking at the BlackRock US Infrastructure Summit, Altman suggested future users may pay for AI based on usage, rather than fixed subscriptions.&nbsp;

AI could become a utility like electricity, says OpenAI CEO Sam Altman

OpenAI has introduced GPT-5.4, a new foundation model designed for professional and complex knowledge work. According to the company, GPT-5.4 is its “most capable and efficient frontier model” so far. The model is available in three variants: a standard version, a reasoning-focused version called GPT-5.4 Thinking, and a high-performance version called GPT-5.4 Pro.The release reflects a wider trend in the AI industry where companies are building models aimed at professional workflows such as coding, financial analysis and research.

<blockquote class="twitter-tweet">GPT-5.4 Thinking and GPT-5.4 Pro are rolling out now in ChatGPT. GPT-5.4 is also now available in the API and Codex. GPT-5.4 brings our advances in reasoning, coding, and agentic workflows into one frontier model. <a href="https://t.co/1hy6xXLAmJ">pic.twitter.com/1hy6xXLAmJ</a>&mdash; OpenAI (@OpenAI) <a href="https://twitter.com/OpenAI/status/2029620619743219811?ref_src=twsrc%5Etfw">March 5, 2026</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<h2>Three versions designed for different AI tasks</h2>OpenAI said the new model family includes different versions optimised for different use cases.GPT-5.4 (Standard): general-purpose model for most applicationsGPT-5.4 Thinking: designed for multi-step reasoning and complex analysisGPT-5.4 Pro: built for higher performance and professional workloadsAccording to the company, the new model can generate complex outputs such as financial models, presentation slides and legal analysis.Brendan Foody, chief executive of Mercor, said in a statement that GPT-5.4 performed strongly on professional benchmarks.“GPT-5.4 excels at creating long-horizon deliverables such as slide decks, financial models and legal analysis,” he said. Up to 1 million tokens context windowOne of the major upgrades is the model’s context window. The API version of GPT-5.4 supports up to 1 million tokens, allowing the model to analyse extremely large documents, datasets or conversations in a single request. Large context windows are important for enterprise users who need AI tools to process research papers, code repositories or long reports. OpenAI also said the model uses tokens more efficiently than earlier versions. This means the system can complete similar tasks while consuming fewer tokens, which may reduce costs for developers.

<blockquote class="twitter-tweet" data-media-max-width="560">GPT-5.4 is our most factual and efficient model: fewer tokens, faster speed. In ChatGPT, GPT-5.4 Thinking has improved deep web research, better context retention when it thinks for longer—and oh—you can now interrupt the model and add instructions or adjust its direction… <a href="https://t.co/a0ayi6aOYV">pic.twitter.com/a0ayi6aOYV</a>&mdash; OpenAI (@OpenAI) <a href="https://twitter.com/OpenAI/status/2029620623199326334?ref_src=twsrc%5Etfw">March 5, 2026</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<h2>Improved benchmark results and reasoning ability</h2>OpenAI reported strong benchmark results for GPT-5.4 across several tests used to evaluate AI systems.According to the company: GPT-5.4 achieved 83 per cent on OpenAI’s GDPval benchmark, which tests knowledge-work tasks. It recorded top scores in OSWorld-Verified and WebArena Verified, benchmarks designed to evaluate computer-use abilities. The model also performed well on Mercor’s APEX-Agents benchmark, which tests professional skills in fields such as law and finance. These benchmarks aim to measure how well AI systems perform complex multi-step tasks rather than simple question-answering. Fewer factual errors and hallucinations. Reducing hallucinations when AI produces incorrect or fabricated information remains a major focus for AI developers.OpenAI said GPT-5.4 shows measurable improvements compared with earlier versions.According to the company’s internal evaluation, The model is 33 per cent less likely to make errors in individual claims compared with GPT-5.2. Overall responses are 18 per cent less likely to contain factual mistakes. These improvements are important for professional environments where accuracy is critical. New ‘Tool Search’ system for developers, OpenAI also introduced a new system called Tool Search for developers using the API version of GPT-5.4. Previously, models needed detailed system prompts describing every available tool. As the number of tools increased, this process consumed large numbers of tokens. The new Tool Search system allows the model to look up tool definitions when needed. According to OpenAI, this reduces token usage and makes requests faster and cheaper.<h2>Safety testing and chain-of-thought monitoring</h2>The company also carried out new safety tests focused on chain-of-thought reasoning, which is the explanation models generate when solving complex problems. AI researchers have raised concerns that models might misrepresent their reasoning. OpenAI said its testing suggests deception is less likely in the Thinking version of GPT-5.4. The results indicate that monitoring chain-of-thought reasoning remains an effective method for evaluating model behaviour.<h2>What GPT-5.4 means for the AI industry</h2>The release of GPT-5.4 highlights how AI models are increasingly being designed for professional tasks rather than simple conversation. Companies across sectors are experimenting with AI tools to automate research, software development and data analysis. With larger context windows, improved reasoning and reduced error rates, models like GPT-5.4 aim to make AI systems more reliable for enterprise use. As competition between major AI companies intensifies, releases such as GPT-5.4 signal the next phase of development where models become more capable at handling real-world professional work.

OpenAI has launched GPT-5.4, its latest frontier AI model designed for professional and complex knowledge work. The model comes in three versions: GPT-5.4 Standard, GPT-5.4 Thinking for advanced reasoning, and GPT-5.4 Pro for high-performance enterprise tasks. 

OpenAI has introduced GPT-5.4, a new foundation model designed for professional and complex knowledge work. According to the company, GPT-5.4 is its “most capable and efficient frontier model” so far. The model is available in three variants: a standard version, a reasoning-focused version called GPT-5.4 Thinking, and a high-performance version called GPT-5.4 Pro. The release reflects a wider trend in the AI industry where companies are building models aimed at professional workflows such as coding, financial analysis and research.

OpenAI has launched GPT-5.4, its latest frontier AI model designed for professional and complex knowledge work. The model comes in three versions: GPT-5.4 Standard, GPT-5.4 Thinking for advanced reasoning, and GPT-5.4 Pro for high-performance enterprise tasks.&nbsp;

OpenAI launches GPT-5.4: Things to know about OpenAI’s latest AI model

Artificial intelligence partnerships between major technology companies are evolving quickly. Jensen Huang, the chief executive of Nvidia, has indicated that the company may not make additional investments in two of the world’s leading AI firms, OpenAI and Anthropic.&nbsp;Speaking at the Morgan Stanley Technology, Media and Telecom Conference in San Francisco, Huang said Nvidia’s recent investments in the two companies could be its final ones.&nbsp;He explained that if these companies move towards public listings, the opportunity for such private investments may close.&nbsp;<h2>Why NVIDIA invested in AI startups</h2>NVIDIA’s investments in AI companies have been closely linked to its broader strategy. The company produces the graphics processing units (GPUs) that power many of the world’s most advanced AI systems.&nbsp;Both OpenAI and Anthropic rely heavily on Nvidia chips for training and running large AI models.&nbsp;Huang previously said Nvidia’s investments are meant to expand its ecosystem rather than simply generate financial returns.&nbsp;According to the company’s fourth-quarter earnings call transcript, Nvidia aims to “expand and deepen ecosystem reach” through such partnerships.&nbsp;This approach has helped Nvidia strengthen ties with companies building AI models and cloud services.&nbsp;<h2>Investment dynamics around AI companies</h2>Industry analysts have pointed out that the financial relationships between Nvidia and AI companies can sometimes appear circular.&nbsp;For example, reports previously suggested Nvidia planned to invest up to $100 billion in OpenAI while OpenAI planned to spend large amounts on Nvidia hardware.&nbsp;According to Professor Michael Cusumano from MIT Sloan School of Management, such arrangements can appear like a “wash” because companies invest in each other while also buying products from one another.&nbsp;More recently, Nvidia reportedly finalised a $30 billion investment in OpenAI as part of a $110 billion funding round, which was smaller than earlier expected commitments.&nbsp;<h2>Tensions and policy debates around AI</h2>The AI sector is also seeing increasing debate over how advanced technologies should be used.&nbsp;Dario Amodei, the CEO of Anthropic, recently criticised the sale of advanced AI chips to certain overseas customers. Without naming Nvidia directly, he compared such exports to supplying extremely sensitive technologies.&nbsp;At the same time, policy decisions have also affected the sector. Reports indicated that US authorities placed restrictions on some technologies linked to Anthropic after the company declined to allow its models to be used for certain military or surveillance applications.&nbsp;These developments show how AI partnerships now sit at the intersection of technology, business and national policy.&nbsp;<h2>NVIDIA’s role in the AI industry</h2>Despite stepping back from additional investments, Nvidia remains central to the AI industry.&nbsp;The company’s GPUs power large-scale AI systems used by technology companies, startups and research organisations around the world.&nbsp;Demand for these chips has surged in recent years as firms race to develop advanced language models and AI agents.&nbsp;Because of this strong demand, Nvidia may not need additional equity stakes in AI companies to benefit from the sector’s growth.&nbsp;<h2>What this means for the AI ecosystem</h2>The decision to limit new investments could signal a shift in how Nvidia manages relationships with AI firms.&nbsp;Instead of deep financial stakes, the company may focus on supplying the hardware and infrastructure that power AI systems.&nbsp;Meanwhile, companies such as OpenAI and Anthropic are expected to continue expanding their models, enterprise partnerships and global user bases.&nbsp;As AI technology moves towards wider commercial adoption, the relationships between chipmakers, model developers and governments will likely remain a key factor shaping the industry’s future.&nbsp;

Nvidia CEO Jensen Huang said the company may not make further investments in AI firms OpenAI and Anthropic, suggesting recent funding rounds could be its last before possible IPOs. NVIDIA’s strategy focuses on strengthening its AI ecosystem through GPUs rather than expanding equity stakes.

Artificial intelligence partnerships between major technology companies are evolving quickly. Jensen Huang, the chief executive of Nvidia, has indicated that the company may not make additional investments in two of the world’s leading AI firms, OpenAI and Anthropic. Speaking at the Morgan Stanley Technology, Media and Telecom Conference in San Francisco, Huang said Nvidia’s recent investments in the two companies could be its final ones. He explained that if these companies move towards public listings, the opportunity for such private investments may close. Why NVIDIA invested in AI startups NVIDIA’s investments in AI companies have been closely linked to its broader strategy. The company produces the graphics processing units (GPUs) that power many of the world’s most advanced AI systems. Both OpenAI and Anthropic rely heavily on Nvidia chips for training and running large AI models. Huang previously said Nvidia’s investments are meant to expand its ecosystem rather than simply generate financial returns. According to the company’s fourth-quarter earnings call transcript, Nvidia aims to “expand and deepen ecosystem reach” through such partnerships. This approach has helped Nvidia strengthen ties with companies building AI models and cloud services. Investment dynamics around AI companies Industry analysts have pointed out that the financial relationships between Nvidia and AI companies can sometimes appear circular. For example, reports previously suggested Nvidia planned to invest up to $100 billion in OpenAI while OpenAI planned to spend large amounts on Nvidia hardware. According to Professor Michael Cusumano from MIT Sloan School of Management, such arrangements can appear like a “wash” because companies invest in each other while also buying products from one another. More recently, Nvidia reportedly finalised a $30 billion investment in OpenAI as part of a $110 billion funding round, which was smaller than earlier expected commitments. Tensions and policy debates around AI The AI sector is also seeing increasing debate over how advanced technologies should be used. Dario Amodei, the CEO of Anthropic, recently criticised the sale of advanced AI chips to certain overseas customers. Without naming Nvidia directly, he compared such exports to supplying extremely sensitive technologies. At the same time, policy decisions have also affected the sector. Reports indicated that US authorities placed restrictions on some technologies linked to Anthropic after the company declined to allow its models to be used for certain military or surveillance applications. These developments show how AI partnerships now sit at the intersection of technology, business and national policy. NVIDIA’s role in the AI industry Despite stepping back from additional investments, Nvidia remains central to the AI industry. The company’s GPUs power large-scale AI systems used by technology companies, startups and research organisations around the world. Demand for these chips has surged in recent years as firms race to develop advanced language models and AI agents. Because of this strong demand, Nvidia may not need additional equity stakes in AI companies to benefit from the sector’s growth. What this means for the AI ecosystem The decision to limit new investments could signal a shift in how Nvidia manages relationships with AI firms. Instead of deep financial stakes, the company may focus on supplying the hardware and infrastructure that power AI systems. Meanwhile, companies such as OpenAI and Anthropic are expected to continue expanding their models, enterprise partnerships and global user bases. As AI technology moves towards wider commercial adoption, the relationships between chipmakers, model developers and governments will likely remain a key factor shaping the industry’s future.

NVIDIA CEO Jensen Huang said the company may not make further investments in AI firms OpenAI and Anthropic, suggesting recent funding rounds could be its last before possible IPOs. NVIDIA’s strategy focuses on strengthening its AI ecosystem through GPUs rather than expanding equity stakes.

Jensen Huang hints Nvidia’s AI investments in OpenAI and Anthropic may be final

Artificial intelligence firm OpenAI is exploring a potential partnership with NATO, just days after securing a major agreement with the United States Department of Defence, according to a report by The Wall Street Journal.&nbsp;The discussions indicate that OpenAI is expanding its engagement with governments and defence organisations as AI becomes increasingly important for security, data analysis and operational planning.&nbsp;However, the proposed NATO deployment would differ from the Pentagon contract in one key aspect: the AI tools would run on unclassified networks, not classified military systems.&nbsp;<h2>OpenAI may deploy AI on NATO’s unclassified networks</h2>According to the report, Sam Altman mentioned the possibility of deploying OpenAI’s technology within NATO’s network infrastructure during an internal company meeting.&nbsp;Initially, Altman appeared to suggest that the systems could operate on classified networks. The company later clarified that this was a slip and that discussions relate only to unclassified networks.&nbsp;<h2>The distinction is important.</h2>Classified systems contain sensitive military intelligence and operational plans. Unclassified networks, while still important, hold information that does not reach the highest levels of national security sensitivity.If implemented, OpenAI’s AI tools could help NATO members analyse data, improve administrative workflows and support research across alliance networks.&nbsp;<h2>Pentagon deal marked a shift in defence partnerships</h2>The NATO discussions come shortly after OpenAI secured a contract with the Pentagon to deploy its AI technology for certain government applications.&nbsp;That agreement followed changes in the Pentagon’s partnerships with AI firms.&nbsp;According to reports, US federal agencies were directed to halt collaboration with Anthropic, partly due to the company’s position on limiting military uses of artificial intelligence.&nbsp;Anthropic’s CEO Dario Amodei had previously expressed caution about defence-related AI deployments.&nbsp;Following those developments, OpenAI became one of the technology companies working more closely with the US defence ecosystem.&nbsp;<h2>Criticism and concerns around military AI</h2>OpenAI’s Pentagon deal triggered criticism from some researchers and users concerned about the role of AI in military systems.&nbsp;Reports suggested that the announcement also led to subscription cancellations from some customers who opposed defence partnerships.&nbsp;OpenAI later issued a clarification stating that its AI technology would not be used to spy on US citizens or domestic populations.&nbsp;The Pentagon also said intelligence agencies such as the National Security Agency would not directly use OpenAI’s services.&nbsp;<h2>Sam Altman acknowledges reputational risks</h2>During the internal discussion cited in the report, Altman acknowledged that the Pentagon agreement carried reputational risks for the company.&nbsp;However, he told employees that he believed the decision was necessary despite possible criticism.&nbsp;According to the report, Altman said the move was a “complicated but correct decision”, even though it could create short-term public relations challenges.&nbsp;<h2>AI’s growing role in defence technology</h2>The discussions between OpenAI and NATO highlight a broader shift in how governments are approaching artificial intelligence.&nbsp;AI systems are increasingly used for tasks such as:&nbsp;Data analysis and intelligence processing&nbsp;Cybersecurity monitoring&nbsp;Simulation and planning tools&nbsp;<h2>Logistics and operational management</h2>As governments and technology companies expand collaboration, questions about ethics, safety and oversight are likely to remain central to the debate.&nbsp;For OpenAI, the potential NATO partnership would represent another step in positioning its AI systems within global public sector infrastructure.

OpenAI is exploring a potential partnership with NATO after securing a Pentagon deal, according to reports. The discussions involve deploying OpenAI’s AI tools on NATO’s unclassified networks to support data analysis, research and administrative workflows.

Artificial intelligence firm OpenAI is exploring a potential partnership with NATO, just days after securing a major agreement with the United States Department of Defence, according to a report by The Wall Street Journal. The discussions indicate that OpenAI is expanding its engagement with governments and defence organisations as AI becomes increasingly important for security, data analysis and operational planning. However, the proposed NATO deployment would differ from the Pentagon contract in one key aspect: the AI tools would run on unclassified networks, not classified military systems. OpenAI may deploy AI on NATO’s unclassified networks According to the report, Sam Altman mentioned the possibility of deploying OpenAI’s technology within NATO’s network infrastructure during an internal company meeting. Initially, Altman appeared to suggest that the systems could operate on classified networks. The company later clarified that this was a slip and that discussions relate only to unclassified networks. The distinction is important. Classified systems contain sensitive military intelligence and operational plans. Unclassified networks, while still important, hold information that does not reach the highest levels of national security sensitivity. If implemented, OpenAI’s AI tools could help NATO members analyse data, improve administrative workflows and support research across alliance networks. Pentagon deal marked a shift in defence partnerships The NATO discussions come shortly after OpenAI secured a contract with the Pentagon to deploy its AI technology for certain government applications. That agreement followed changes in the Pentagon’s partnerships with AI firms. According to reports, US federal agencies were directed to halt collaboration with Anthropic, partly due to the company’s position on limiting military uses of artificial intelligence. Anthropic’s CEO Dario Amodei had previously expressed caution about defence-related AI deployments. Following those developments, OpenAI became one of the technology companies working more closely with the US defence ecosystem. Criticism and concerns around military AI OpenAI’s Pentagon deal triggered criticism from some researchers and users concerned about the role of AI in military systems. Reports suggested that the announcement also led to subscription cancellations from some customers who opposed defence partnerships. OpenAI later issued a clarification stating that its AI technology would not be used to spy on US citizens or domestic populations. The Pentagon also said intelligence agencies such as the National Security Agency would not directly use OpenAI’s services. Sam Altman acknowledges reputational risks During the internal discussion cited in the report, Altman acknowledged that the Pentagon agreement carried reputational risks for the company. However, he told employees that he believed the decision was necessary despite possible criticism. According to the report, Altman said the move was a “complicated but correct decision”, even though it could create short-term public relations challenges. AI’s growing role in defence technology The discussions between OpenAI and NATO highlight a broader shift in how governments are approaching artificial intelligence. AI systems are increasingly used for tasks such as: Data analysis and intelligence processing Cybersecurity monitoring Simulation and planning tools Logistics and operational management As governments and technology companies expand collaboration, questions about ethics, safety and oversight are likely to remain central to the debate. For OpenAI, the potential NATO partnership would represent another step in positioning its AI systems within global public sector infrastructure.

OpenAI is exploring a potential partnership with NATO after securing a Pentagon deal, according to reports. The discussions involve deploying OpenAI’s AI tools on NATO’s unclassified networks to support data analysis, research and administrative workflows.

OpenAI eyes NATO partnership after Pentagon deal, AI may run on alliance networks

While the focus appears to be on the Pentagon having used Claude AI models of Anthropic for the attack against Iran on Saturday (Feb 28), it is not the only artificial intelligence tool in the hands of the US military. In the past few years, the US Department of Defense has been accumulating several AI models and tools to help in warfare, from simulations to intelligence assessment and more. Here is what we know.<h2>Not just Anthropic: Pentagon has contracts with several major AI companies</h2>The Pentagon awarded contracts worth up to $200 million in July 2025 through the Chief Digital and Artificial Intelligence Office (CDAO) for frontier AI prototyping and scaling adoption in warfare and war planning. The focus includes large language models (LLMs), agentic workflows, and classified and unclassified deployments for national security, warfighting, intelligence, and enterprise use.&nbsp;Besides Anthropic, the deals were reached with OpenAI, Google and xAI.<h2>How Anthropic AI became embedded in US defence</h2>Anthropic began significant engagement with US defence and intelligence agencies in late 2024 and into 2025. In November 2024, it partnered with Palantir and Amazon Web Services to supply Claude to US defence and intelligence systems, including classified environments. In June 2025, Anthropic introduced Claude Gov, a version tailored for government and national security workflows, which was in active use at US intelligence and defence agencies by late 2025.&nbsp;In July 2025, the Department of Defence awarded AI firms a contract valued at up to $200 million for AI services, including from Anthropic. Public contracting records indicated only a small portion had been paid by early 2026, suggesting gradual integration rather than a one-time purchase. These were usage contracts and partnerships allowing the DoD and intelligence networks to access Claude through secure arrangements.Also read: <a href="https://www.wionews.com/world/did-us-use-anthropic-ai-in-iran-s-strikes-despite-trump-s-ban-what-we-know-1772356637161">Did US use Anthropic AI in Iran’s strikes despite Trump’s ban? What we know</a><h2>Claude AI: The core asset of Pentagon from Anthropic</h2>Anthropic’s Claude family of large language models was at the disposal of the Pentagon until the contract dispute in late February. Before the contract was put on hold, Anthropic provided custom safeguarded versions of its tools for government and classified use via partners such as Palantir and Amazon Web Services Top Secret Cloud. Anthropic’s AI tools were uniquely integrated into classified networks until the dispute, after which the company was designated a “supply chain risk” on February 27 by the Trump administration. It was expected to take at least six months for the Pentagon to transition away from Anthropic’s AI tools.The primary AI models at the centre of reports on the Iran strikes were from Anthropic’s Claude family. Claude, designed for reasoning, summarising and assistance tasks, and Claude Gov were reportedly used by the military. Variants such as Claude Opus or custom government-deployed versions were said to be involved.<h2>Key areas in which Claude AI was used: Intelligence assessment, target identification, battle simulation&nbsp;</h2>In the strikes on Iran, the Claude AI models were used in intelligence assessment, target identification, and simulation of battle scenarios for the US military, according to multiple reports. &nbsp;US Central Command (Centcom) in the Middle East used the models to process and analyse vast amounts of data, including intercepts, satellite imagery and signals intelligence, to generate summaries, threat evaluations and situational insights.In intelligence assessment, Claude analysed data to evaluate threats, enemy positions and situational awareness.&nbsp;In target identification, the AI models helped locate, prioritise, cross-reference and confirm high-value targets such as Iranian leadership compounds, military assets or strategic sites.&nbsp;In simulation of battle scenarios, Anthropic’s tools were used to model potential outcomes, rehearse strike sequences, predict risks and collateral damage, and support operational planning.<h2>Claude was not used as a fighter, but as a helper</h2>In all these cases, Claude’s role was as a decision-support tool, providing insights, summaries and simulations to human operators. As per reports, Claude was not used to independently control weapons systems during the Iran attack. It did not make lethal decisions without humans and did not act as a mastermind of the strikes. Its involvement was limited to data processing, analysis and strategic assistance rather than direct weaponisation, said the reports.<a href="https://www.wionews.com/videos/us-iran-war-report-anthropic-ai-used-despite-trump-ban-during-military-operations-1772363692849/embed">https://www.wionews.com/videos/us-iran-war-report-anthropic-ai-used-despite-trump-ban-during-military-operations-1772363692849/embed</a><h2>The Anthropic vs Trump administration dispute: What went wrong, and why was Claude still used in Iran?</h2>Just ahead of the Iran strike, US President Donald Trump issued a directive banning federal agencies from using Anthropic’s tools following a contract dispute over ethical guardrails. Defence Secretary Pete Hegseth was involved in the designation of Anthropic as a supply chain risk and in directing agencies to cease using its technology, triggering a phase-out period.&nbsp;Despite the ban, integration of Claude into intelligence assessment, war simulation and target identification systems was reportedly so deep that the Iran strikes proceeded with Claude’s support anyway, during the transition period.The dispute centered on usage rights. The Pentagon demanded broader rights to use Claude “for all lawful purposes,” including potential battlefield targeting and weapon support. Anthropic refused to remove its ethical constraints, which are part of its Constitutional AI framework. This means Claude is programmed to reject use in fully autonomous lethal weapons and will not authorise strikes without human oversight. It also refuses use for mass domestic surveillance of US citizens.&nbsp;The Pentagon sought unrestricted military use that could have included mass surveillance or fully autonomous lethal weapons, but Anthropic declined to remove safeguards, leading to contract termination threats and the ban.<h2>Beyond Anthropic: Other AI companies with footprint in US military systems</h2>OpenAI’s ChatGPT and underlying GPT series models, including frontier LLMs such as o1 or successors, have reportedly been used by the Pentagon. These were initially deployed for unclassified tasks. Following the Anthropic dispute, OpenAI reached a new agreement for classified network deployment of its models and tools, with safety guardrails in place, even as the Pentagon had sought use for any lawful purpose.Alphabet, Google’s parent company, has provided Gemini for Government products to the Pentagon, available for unclassified use, including through the GenAI.mil platform that began rolling out in late 2025. The company has been in negotiations for expansion into classified systems.Also read: <a href="https://www.wionews.com/world/altman-reaches-agreement-with-pentagon-on-deploying-openai-models-for-classified-work-1772252140299">Altman reaches agreement with Pentagon on deploying OpenAI models for classified work</a>&nbsp;Elon Musk’s xAI, the parent of Grok, has provided a Grok for Government suite for military use, initially for unclassified tasks. The company signed an agreement in February for use in classified systems as well, positioning it as a potential rapid replacement amid the Anthropic fallout.GenAI.mil, Grok, Gemini and ChatGPT were mainly used for unclassified purposes, while classified use was initially more closely associated with Anthropic’s deployments. Once the dispute emerged, classified use expanded to include xAI and OpenAI systems.&nbsp;Basically, OpenAI and xAI stepped in rapidly to meet the classified AI needs of the US military after Anthropic walked away from expanded terms.One thing is now very clear: AI has become deeply integrated in US military planning and execution by early 2026, particularly in intelligence assessment, target identification and operational simulations. That has become evident in the Iran strikes. It will be used again. We are already in the AI era of war.Disclaimer: WION takes utmost care to accurately and responsibly report ongoing conflicts in West Asia involving Israel, Iran, US, Gulf nations and non-state actors like Hezbollah, Hamas, Houthis, Islamic State, and others. Claims and counterclaims, disinformation and misinformation are being made online and offline. Given this context, WION cannot independently verify the authenticity of all statements, social media posts, photos and videos.

Anthropic Claude and other LLMs were used by US military in Iran strikes for intelligence, targeting and simulations. But Pentagon has already expanded AI use before Iran strikes. And most big AI companies are involved.


While the focus appears to be on the Pentagon having used Claude AI models of Anthropic for the attack against Iran on Saturday (Feb 28), it is not the only artificial intelligence tool in the hands of the US military. In the past few years, the US Department of Defense has been accumulating several AI models and tools to help in warfare, from simulations to intelligence assessment and more. Here is what we know. Not just Anthropic: Pentagon has contracts with several major AI companies The Pentagon awarded contracts worth up to $200 million in July 2025 through the Chief Digital and Artificial Intelligence Office (CDAO) for frontier AI prototyping and scaling adoption in warfare and war planning. The focus includes large language models (LLMs), agentic workflows, and classified and unclassified deployments for national security, warfighting, intelligence, and enterprise use. Besides Anthropic, the deals were reached with OpenAI, Google and xAI. How Anthropic AI became embedded in US defence Anthropic began significant engagement with US defence and intelligence agencies in late 2024 and into 2025. In November 2024, it partnered with Palantir and Amazon Web Services to supply Claude to US defence and intelligence systems, including classified environments. In June 2025, Anthropic introduced Claude Gov, a version tailored for government and national security workflows, which was in active use at US intelligence and defence agencies by late 2025. In July 2025, the Department of Defence awarded AI firms a contract valued at up to $200 million for AI services, including from Anthropic. Public contracting records indicated only a small portion had been paid by early 2026, suggesting gradual integration rather than a one-time purchase. These were usage contracts and partnerships allowing the DoD and intelligence networks to access Claude through secure arrangements. Also read: Did US use Anthropic AI in Iran’s strikes despite Trump’s ban? What we know Claude AI: The core asset of Pentagon from Anthropic Anthropic’s Claude family of large language models was at the disposal of the Pentagon until the contract dispute in late February. Before the contract was put on hold, Anthropic provided custom safeguarded versions of its tools for government and classified use via partners such as Palantir and Amazon Web Services Top Secret Cloud. Anthropic’s AI tools were uniquely integrated into classified networks until the dispute, after which the company was designated a “supply chain risk” on February 27 by the Trump administration. It was expected to take at least six months for the Pentagon to transition away from Anthropic’s AI tools. The primary AI models at the centre of reports on the Iran strikes were from Anthropic’s Claude family. Claude, designed for reasoning, summarising and assistance tasks, and Claude Gov were reportedly used by the military. Variants such as Claude Opus or custom government-deployed versions were said to be involved. Key areas in which Claude AI was used: Intelligence assessment, target identification, battle simulation In the strikes on Iran, the Claude AI models were used in intelligence assessment, target identification, and simulation of battle scenarios for the US military, according to multiple reports. US Central Command (Centcom) in the Middle East used the models to process and analyse vast amounts of data, including intercepts, satellite imagery and signals intelligence, to generate summaries, threat evaluations and situational insights. In intelligence assessment, Claude analysed data to evaluate threats, enemy positions and situational awareness. In target identification, the AI models helped locate, prioritise, cross-reference and confirm high-value targets such as Iranian leadership compounds, military assets or strategic sites. In simulation of battle scenarios, Anthropic’s tools were used to model potential outcomes, rehearse strike sequences, predict risks and collateral damage, and support operational planning. Claude was not used as a fighter, but as a helper In all these cases, Claude’s role was as a decision-support tool, providing insights, summaries and simulations to human operators. As per reports, Claude was not used to independently control weapons systems during the Iran attack. It did not make lethal decisions without humans and did not act as a mastermind of the strikes. Its involvement was limited to data processing, analysis and strategic assistance rather than direct weaponisation, said the reports. https://www.wionews.com/videos/us-iran-war-report-anthropic-ai-used-despite-trump-ban-during-military-operations-1772363692849/embed The Anthropic vs Trump administration dispute: What went wrong, and why was Claude still used in Iran? Just ahead of the Iran strike, US President Donald Trump issued a directive banning federal agencies from using Anthropic’s tools following a contract dispute over ethical guardrails. Defence Secretary Pete Hegseth was involved in the designation of Anthropic as a supply chain risk and in directing agencies to cease using its technology, triggering a phase-out period. Despite the ban, integration of Claude into intelligence assessment, war simulation and target identification systems was reportedly so deep that the Iran strikes proceeded with Claude’s support anyway, during the transition period. The dispute centered on usage rights. The Pentagon demanded broader rights to use Claude “for all lawful purposes,” including potential battlefield targeting and weapon support. Anthropic refused to remove its ethical constraints, which are part of its Constitutional AI framework. This means Claude is programmed to reject use in fully autonomous lethal weapons and will not authorise strikes without human oversight. It also refuses use for mass domestic surveillance of US citizens. The Pentagon sought unrestricted military use that could have included mass surveillance or fully autonomous lethal weapons, but Anthropic declined to remove safeguards, leading to contract termination threats and the ban. Beyond Anthropic: Other AI companies with footprint in US military systems OpenAI’s ChatGPT and underlying GPT series models, including frontier LLMs such as o1 or successors, have reportedly been used by the Pentagon. These were initially deployed for unclassified tasks. Following the Anthropic dispute, OpenAI reached a new agreement for classified network deployment of its models and tools, with safety guardrails in place, even as the Pentagon had sought use for any lawful purpose. Alphabet, Google’s parent company, has provided Gemini for Government products to the Pentagon, available for unclassified use, including through the GenAI.mil platform that began rolling out in late 2025. The company has been in negotiations for expansion into classified systems. Also read: Altman reaches agreement with Pentagon on deploying OpenAI models for classified work Elon Musk’s xAI, the parent of Grok, has provided a Grok for Government suite for military use, initially for unclassified tasks. The company signed an agreement in February for use in classified systems as well, positioning it as a potential rapid replacement amid the Anthropic fallout. GenAI.mil, Grok, Gemini and ChatGPT were mainly used for unclassified purposes, while classified use was initially more closely associated with Anthropic’s deployments. Once the dispute emerged, classified use expanded to include xAI and OpenAI systems. Basically, OpenAI and xAI stepped in rapidly to meet the classified AI needs of the US military after Anthropic walked away from expanded terms. One thing is now very clear: AI has become deeply integrated in US military planning and execution by early 2026, particularly in intelligence assessment, target identification and operational simulations. That has become evident in the Iran strikes. It will be used again. We are already in the AI era of war. Disclaimer: WION takes utmost care to accurately and responsibly report ongoing conflicts in West Asia involving Israel, Iran, US, Gulf nations and non-state actors like Hezbollah, Hamas, Houthis, Islamic State, and others. Claims and counterclaims, disinformation and misinformation are being made online and offline. Given this context, WION cannot independently verify the authenticity of all statements, social media posts, photos and videos.

Anthropic Claude and other LLMs were used by US military in Iran strikes for intelligence, targeting and simulations. But Pentagon has already expanded AI use before Iran strikes. And most big AI companies are involved.

AI in warfare is here: Pentagon used Anthropic's Claude AI in Iran strikes but it has many LLMs and tools from other firms. What we know

After Pentagon moved to designate the artificial intelligence company Anthropic a national security risk and the US President Donald Trump asked its government to stop using the artificial intelligence company Anthropic's products, Sam Altman said Friday that his company OpenAI has struck a deal with the Pentagon to use its models in the defense agency's classified network, using "technical safeguards."&nbsp;Making the announcement, Altman taking to X wrote, "Tonight, we reached an agreement with the Department of War to deploy our models in their classified network."&nbsp;He also spoke on the safety measure his company will take to deploy their models in Pantagons classified network.&nbsp;"In all of our interactions, the DoW displayed a deep respect for safety and a desire to partner to achieve the best possible outcome," wrote Altman and added, "We also will build technical safeguards to ensure our models behave as they should, which the DoW also wanted. We will deploy FDEs to help with our models and to ensure their safety, we will deploy on cloud networks only.<h2>Anthropic Reacts</h2>&nbsp;Earlier today, Secretary of War Pete Hegseth shared on X that he is directing the Department of War to designate Anthropic a supply chain risk.&nbsp;Reactiong to the decision, the company wrote, “We are deeply saddened by these developments. As the first frontier AI company to deploy models in the US government’s classified networks, Anthropic has supported American warfighters since June 2024 and has every intention of continuing to do so.”&nbsp;

After striking the deal Altman spoke on the safety measure his company will take to deploy their models in Pantagons classified network.

After Pentagon moved to designate the artificial intelligence company Anthropic a national security risk and the US President Donald Trump asked its government to stop using the artificial intelligence company Anthropic's products, Sam Altman said Friday that his company OpenAI has struck a deal with the Pentagon to use its models in the defense agency's classified network, using "technical safeguards." Making the announcement, Altman taking to X wrote, "Tonight, we reached an agreement with the Department of War to deploy our models in their classified network." He also spoke on the safety measure his company will take to deploy their models in Pantagons classified network. "In all of our interactions, the DoW displayed a deep respect for safety and a desire to partner to achieve the best possible outcome," wrote Altman and added, "We also will build technical safeguards to ensure our models behave as they should, which the DoW also wanted. We will deploy FDEs to help with our models and to ensure their safety, we will deploy on cloud networks only. Anthropic Reacts Earlier today, Secretary of War Pete Hegseth shared on X that he is directing the Department of War to designate Anthropic a supply chain risk. Reactiong to the decision, the company wrote, “We are deeply saddened by these developments. As the first frontier AI company to deploy models in the US government’s classified networks, Anthropic has supported American warfighters since June 2024 and has every intention of continuing to do so.”

After striking the deal Altman spoke on the safety measure his company will take to deploy their models in Pantagons classified network.

Altman reaches agreement with Pentagon on deploying OpenAI models for classified work

The creator of viral AI agent OpenClaw has a simple message for developers experimenting with artificial intelligence: slow down, explore and enjoy the process.&nbsp;Peter Steinberger, who recently joined OpenAI, shared his thoughts during a conversation with Romain Huet, OpenAI’s Head of Developer Experience, on the company’s new Builders Unscripted podcast.

His advice comes at a time when AI agents are gaining rapid popularity across industries.&nbsp;How OpenClaw began: No master plan, just exploration&nbsp;Steinberger admitted that OpenClaw did not begin with a detailed roadmap.&nbsp;“I wish I could say I had a unified plan,” he said, adding that much of his early work was simple experimentation.&nbsp;According to him, the idea emerged from personal needs. He initially built a tool that worked with WhatsApp, then paused the project, assuming larger AI labs would soon create similar systems.&nbsp;However, by November, he realised no one had built what he wanted. That pushed him to create the first prototype of OpenClaw.&nbsp;He said the project truly gained momentum during a weekend trip to Marrakesh. With limited internet access, WhatsApp worked reliably, and his AI tool helped him find restaurants, check information and send messages. That practical use convinced him the idea had potential.<h2>Modern AI models are solving problems differently</h2>Steinberger explained that today’s AI models are far more capable at reasoning and problem-solving than earlier systems. Instead of writing detailed instructions line by line, developers can now rely on AI to generate solutions.&nbsp;“They can come up with solutions themselves,” he noted, highlighting how AI coding tools are evolving quickly.&nbsp;OpenClaw became popular as users began creating personal AI agents capable of handling tasks across digital tools. The project’s rapid growth eventually led to Steinberger being hired by OpenAI to work on personal agents.<h2>Why AI building is a skill, not magic</h2>One of his key messages is that working with AI requires practice.&nbsp;He criticised the idea of “vibe coding” a term sometimes used to describe casually prompting AI to generate software suggesting it oversimplifies the learning curve.&nbsp;“Learning AI is like learning guitar,” he said. “You’re not going to be good at it on the first day.”&nbsp;Steinberger advised developers to treat AI prompting and building as a skill that improves over time. As with music, practice builds intuition. Over time, he developed a sense of how long prompts should take and how to refine them when they fail.<h2>Advice for AI builders: Play, build and adapt</h2>Steinberger encourages developers to approach AI with curiosity rather than fear.&nbsp;His main advice includes:&nbsp;Build something you personally want to use&nbsp;Experiment without expecting perfection&nbsp;Accept that early attempts may fail&nbsp;Improve gradually through reflection&nbsp;He also addressed growing concerns about AI replacing jobs. According to him, people who enjoy creating and solving problems will continue to find opportunities.&nbsp;“If your identity is to build and solve problems, you will be in demand,” he said.<h2>The bigger picture for AI developers</h2>The rise of AI agents marks a shift in how software is built and used. Companies across the world are investing in automation tools that can operate across apps, analyse data and complete complex tasks.&nbsp;However, Steinberger’s story shows that innovation often starts with personal experimentation rather than corporate strategy.&nbsp;As AI tools become more powerful, the ability to explore, adapt and think creatively may matter more than traditional technical labels.&nbsp;For aspiring developers, the message is clear: start building, stay curious and give yourself time to improve.&nbsp;

OpenClaw creator urged developers to slow down and experiment with AI, calling it a skill that improves with practice. Speaking on Builders podcast, he said OpenClaw began as personal exploration, not a master plan. His message: build what you need, stay curious and adapt as AI evolves.

The creator of viral AI agent OpenClaw has a simple message for developers experimenting with artificial intelligence: slow down, explore and enjoy the process. Peter Steinberger, who recently joined OpenAI, shared his thoughts during a conversation with Romain Huet, OpenAI’s Head of Developer Experience, on the company’s new Builders Unscripted podcast.

OpenClaw creator urged developers to slow down and experiment with AI, calling it a skill that improves with practice. Speaking on Builders podcast, he said OpenClaw began as personal exploration, not a master plan. His message: build what you need, stay curious and adapt as AI evolves.

OpenClaw creator Peter Steinberger says AI agents will reward those who keep building and adapting

OpenAI has partnered with JioHotstar to integrate entertainment discovery directly into ChatGPT.As per the joint statement issued today, ChatGPT will now recommend and share streaming links from JioHotstar when users search for entertainment-related content on the AI platform.&nbsp;The collaboration also introduces a ChatGPT-powered voice discovery feature inside the JioHotstar app. This means users will be able to search for movies, series, or live sports by simply speaking their mood or intent instead of typing or browsing menus.&nbsp;<h2>How ChatGPT and JioHotstar integration will work</h2>Under the new partnership, users asking ChatGPT for film or streaming suggestions will receive contextual recommendations along with direct streaming links from JioHotstar’s catalogue.&nbsp;For example, if a user asks ChatGPT for “a light comedy for family night” or “live cricket streaming tonight”, the AI will respond with relevant suggestions and provide access links where available on JioHotstar.&nbsp;The companies described this as a two-way integration. Not only will ChatGPT direct users to JioHotstar content, but JioHotstar will also embed ChatGPT-powered voice discovery inside its platform.&nbsp;This means viewers can search by saying phrases like “I want something romantic”, “show me action films in Hindi”, or “find highlights of yesterday’s match”. The AI will interpret mood, context and language to generate results.&nbsp;<h2>Focus on voice and multilingual search</h2>India is one of the world’s largest multilingual digital markets. The voice discovery feature is designed to allow users to search across languages, genres and formats. Instead of navigating multiple menus, users can express their intent in natural language. This may be useful for those who prefer voice input or find typing in multiple languages difficult.&nbsp;As per the release, this feature aims to make streaming discovery more conversational and personalised.&nbsp;<h2>What OpenAI and JioStar executives said</h2>Fidji Simo, CEO of Applications at OpenAI, said the partnership will bring personalised AI into entertainment and live sports. “Viewers can move seamlessly from watching to asking, from curiosity to context, and from exploration to recommendation,” she said.&nbsp;Uday Shankar, Vice Chairman of JioStar, said the company is embedding AI into the core of the user experience.&nbsp;“Our partnership with OpenAI will allow viewers to discover, engage with, and even curate content simply using their voice,” he said.&nbsp;<h2>Why this matters for India’s streaming and AI ecosystem</h2>The collaboration comes at a time when AI platforms are expanding beyond text-based assistance into commerce, search and entertainment.India is one of the fastest-growing digital entertainment markets. By combining AI recommendations with streaming access, both companies are aiming to improve user engagement and simplify content discovery.&nbsp;As more users turn to AI platforms for everyday queries, including entertainment suggestions, such integrations could change how people discover and consume digital content.&nbsp;For viewers, the change is simple: instead of searching through lists, they can now ask and receive direct links to watch.

OpenAI has partnered with JioHotstar to integrate entertainment discovery into ChatGPT. Users will get streaming recommendations and direct JioHotstar links via ChatGPT, while the JioHotstar app adds ChatGPT-powered voice search for movies, shows and live sports across languages.

OpenAI has partnered with JioHotstar to integrate entertainment discovery directly into ChatGPT. As per the joint statement issued today, ChatGPT will now recommend and share streaming links from JioHotstar when users search for entertainment-related content on the AI platform. The collaboration also introduces a ChatGPT-powered voice discovery feature inside the JioHotstar app. This means users will be able to search for movies, series, or live sports by simply speaking their mood or intent instead of typing or browsing menus. How ChatGPT and JioHotstar integration will work Under the new partnership, users asking ChatGPT for film or streaming suggestions will receive contextual recommendations along with direct streaming links from JioHotstar’s catalogue. For example, if a user asks ChatGPT for “a light comedy for family night” or “live cricket streaming tonight”, the AI will respond with relevant suggestions and provide access links where available on JioHotstar. The companies described this as a two-way integration. Not only will ChatGPT direct users to JioHotstar content, but JioHotstar will also embed ChatGPT-powered voice discovery inside its platform. This means viewers can search by saying phrases like “I want something romantic”, “show me action films in Hindi”, or “find highlights of yesterday’s match”. The AI will interpret mood, context and language to generate results. Focus on voice and multilingual search India is one of the world’s largest multilingual digital markets. The voice discovery feature is designed to allow users to search across languages, genres and formats. Instead of navigating multiple menus, users can express their intent in natural language. This may be useful for those who prefer voice input or find typing in multiple languages difficult. As per the release, this feature aims to make streaming discovery more conversational and personalised. What OpenAI and JioStar executives said Fidji Simo, CEO of Applications at OpenAI, said the partnership will bring personalised AI into entertainment and live sports. “Viewers can move seamlessly from watching to asking, from curiosity to context, and from exploration to recommendation,” she said. Uday Shankar, Vice Chairman of JioStar, said the company is embedding AI into the core of the user experience. “Our partnership with OpenAI will allow viewers to discover, engage with, and even curate content simply using their voice,” he said. Why this matters for India’s streaming and AI ecosystem The collaboration comes at a time when AI platforms are expanding beyond text-based assistance into commerce, search and entertainment. India is one of the fastest-growing digital entertainment markets. By combining AI recommendations with streaming access, both companies are aiming to improve user engagement and simplify content discovery. As more users turn to AI platforms for everyday queries, including entertainment suggestions, such integrations could change how people discover and consume digital content. For viewers, the change is simple: instead of searching through lists, they can now ask and receive direct links to watch.

OpenAI has partnered with JioHotstar to integrate entertainment discovery into ChatGPT. Users will get streaming recommendations and direct JioHotstar links via ChatGPT, while the JioHotstar app adds ChatGPT-powered voice search for movies, shows and live sports across languages.

ChatGPT to recommend JioHotstar content: What the OpenAI partnership means for viewers

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