Luca Guadagnino’s Sam Altman Movie ‘Artificial’ Picked Up by Neon After Being Dropped by Amazon MGM
UPDATED: After reports earlier today that Neon was reportedly circling a deal to acquire the…
UPDATED: After reports earlier today that Neon was reportedly circling a deal to acquire the…
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
#White #House #OpenAI #slow #roll #release #model #safety #concerns #TechCrunchAnthropic,Mythos,OpenAI,sam altman,Trump">
At a meeting this week, CEO Sam Altman reportedly told staff that the government would be “approving access customer by customer” during a preview period. Altman reportedly added that if the limited release goes well, OpenAI hopes to follow with a general, broader release a “couple of weeks later.”
In other words, the Trump administration appears to be pressuring OpenAI to do what Anthropic is already voluntarily doing: keeping its most powerful AI models under wraps.
According to The Information, OpenAI’s new model is not only being reviewed by the administration, but its staffers also “worked closely” with the government on the upcoming release. The agencies that reportedly asked for a limited release were the Office of the National Cyber Director and the Office of Science and Technology Policy.
The Trump administration — which originally positioned itself as taking a “hands off” approach to AI — has in recent months pushed for federal oversight of new models. Earlier this month, Trump signed an executive order directing certain AI companies to voluntarily submit new models to the government for testing and evaluation before releasing them publicly.
Earlier this year, Anthropic sparked no small amount of controversy when it announced that its new frontier cyber model, Claude Mythos, would only be released to a small coterie of partners through a program called Project Glasswing. Anthropic argued that its model was simply too powerful and could, in the wrong hands, cause more harm than good. Observers have since debated whether Anthropic’s rhetoric is a mere marketing gimmick or a legitimate attempt to keep a powerful model from being misused. The answer may be somewhere in between.
Cybercriminals have used automated tools for a very long time, but in the age of generative AI, they now have more digital ammunition than ever before. LLMs have proven adept at writing malware, and some can even execute entire ransomware attacks autonomously.
The specific concern with frontier cyber tools like Mythos is that they are ostensibly capable of both identifying and exploiting software vulnerabilities at speeds that no human analyst could match. Since many software systems contain hidden bugs that act as entry points into enterprise networks, this obviously poses an obvious and significant problem for any organization running complex software infrastructure. That said, since these models remain closed to the public, it’s difficult to tell just how much of a threat they really are.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
#White #House #OpenAI #slow #roll #release #model #safety #concerns #TechCrunchAnthropic,Mythos,OpenAI,sam altman,Trump">The White House is asking OpenAI to slow roll the release of its new model over safety concerns | TechCrunchOpenAI’s release of its newest model, GPT 5.6, reportedly won’t be like its previous releases. Instead of distributing it to the public, the company plans to share it only with a select group of close partners because the Trump administration told it to, reports The Information.
At a meeting this week, CEO Sam Altman reportedly told staff that the government would be “approving access customer by customer” during a preview period. Altman reportedly added that if the limited release goes well, OpenAI hopes to follow with a general, broader release a “couple of weeks later.”
In other words, the Trump administration appears to be pressuring OpenAI to do what Anthropic is already voluntarily doing: keeping its most powerful AI models under wraps.
According to The Information, OpenAI’s new model is not only being reviewed by the administration, but its staffers also “worked closely” with the government on the upcoming release. The agencies that reportedly asked for a limited release were the Office of the National Cyber Director and the Office of Science and Technology Policy.
The Trump administration — which originally positioned itself as taking a “hands off” approach to AI — has in recent months pushed for federal oversight of new models. Earlier this month, Trump signed an executive order directing certain AI companies to voluntarily submit new models to the government for testing and evaluation before releasing them publicly.
Earlier this year, Anthropic sparked no small amount of controversy when it announced that its new frontier cyber model, Claude Mythos, would only be released to a small coterie of partners through a program called Project Glasswing. Anthropic argued that its model was simply too powerful and could, in the wrong hands, cause more harm than good. Observers have since debated whether Anthropic’s rhetoric is a mere marketing gimmick or a legitimate attempt to keep a powerful model from being misused. The answer may be somewhere in between.
Cybercriminals have used automated tools for a very long time, but in the age of generative AI, they now have more digital ammunition than ever before. LLMs have proven adept at writing malware, and some can even execute entire ransomware attacks autonomously.
The specific concern with frontier cyber tools like Mythos is that they are ostensibly capable of both identifying and exploiting software vulnerabilities at speeds that no human analyst could match. Since many software systems contain hidden bugs that act as entry points into enterprise networks, this obviously poses an obvious and significant problem for any organization running complex software infrastructure. That said, since these models remain closed to the public, it’s difficult to tell just how much of a threat they really are.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
#White #House #OpenAI #slow #roll #release #model #safety #concerns #TechCrunchAnthropic,Mythos,OpenAI,sam altman,TrumpOpenAI’s release of its newest model, GPT 5.6, reportedly won’t be like its previous releases.…
Zoph returned to OpenAI in mid-January after a stint as co-founder and CTO of Thinking Machines Lab, the competing AI company founded by former OpenAI CTO Mira Murati. Shortly after Zoph returned to OpenAI, the company said he would lead its push into enterprise — a significant role at OpenAI, since in recent months it had vowed to stop chasing so-called “side quests” and focus on key revenue drivers like enterprise and coding ahead of its planned IPO.
OpenAI confirmed to The Verge that Zoph will be departing. He posted a goodbye message in the company’s Slack channels. Zoph did not immediately respond to a request for comment.
Zoph originally left OpenAI in the fall of 2024 for Murati’s Thinking Machines Lab, but departed the role abruptly in January 2026 after reports of alleged misconduct involving an undisclosed relationship with a colleague. Murati posted on X in January that Thinking Machines Lab had “parted ways” with Zoph and that he would be replaced as CTO.
Thinking Machines Lab has its own tensions with OpenAI. Murati briefly took over as CEO from OpenAI CEO Sam Altman during his November 2023 ouster, and during the recent OpenAI trial, Murati testified that she couldn’t trust everything Altman said. In September 2024, when Murati left OpenAI to start Thinking Machines Lab, a group of OpenAI employees followed shortly after. But three of them — including Zoph — all returned to OpenAI together this past January. Fidji Simo, OpenAI’s CEO of Applications, wrote on X at the time that she was “excited to welcome Barret Zoph, Luke Metz, and Sam Schoenholz back” and that the decision had “been in the works for several weeks.”
Zoph returned to OpenAI in mid-January after a stint as co-founder and CTO of Thinking Machines Lab, the competing AI company founded by former OpenAI CTO Mira Murati. Shortly after Zoph returned to OpenAI, the company said he would lead its push into enterprise — a significant role at OpenAI, since in recent months it had vowed to stop chasing so-called “side quests” and focus on key revenue drivers like enterprise and coding ahead of its planned IPO.
OpenAI confirmed to The Verge that Zoph will be departing. He posted a goodbye message in the company’s Slack channels. Zoph did not immediately respond to a request for comment.
Zoph originally left OpenAI in the fall of 2024 for Murati’s Thinking Machines Lab, but departed the role abruptly in January 2026 after reports of alleged misconduct involving an undisclosed relationship with a colleague. Murati posted on X in January that Thinking Machines Lab had “parted ways” with Zoph and that he would be replaced as CTO.
Thinking Machines Lab has its own tensions with OpenAI. Murati briefly took over as CEO from OpenAI CEO Sam Altman during his November 2023 ouster, and during the recent OpenAI trial, Murati testified that she couldn’t trust everything Altman said. In September 2024, when Murati left OpenAI to start Thinking Machines Lab, a group of OpenAI employees followed shortly after. But three of them — including Zoph — all returned to OpenAI together this past January. Fidji Simo, OpenAI’s CEO of Applications, wrote on X at the time that she was “excited to welcome Barret Zoph, Luke Metz, and Sam Schoenholz back” and that the decision had “been in the works for several weeks.”
Five months after returning to OpenAI, Barret Zoph — the company’s head of enterprise AI sales — has departed, The Verge has learned.
Zoph returned to OpenAI in mid-January after a stint as co-founder and CTO of Thinking Machines Lab, the competing AI company founded by former OpenAI CTO Mira Murati. Shortly after Zoph returned to OpenAI, the company said he would lead its push into enterprise — a significant role at OpenAI, since in recent months it had vowed to stop chasing so-called “side quests” and focus on key revenue drivers like enterprise and coding ahead of its planned IPO.
OpenAI confirmed to The Verge that Zoph will be departing. He posted a goodbye message in the company’s Slack channels. Zoph did not immediately respond to a request for comment.
Zoph originally left OpenAI in the fall of 2024 for Murati’s Thinking Machines Lab, but departed the role abruptly in January 2026 after reports of alleged misconduct involving an undisclosed relationship with a colleague. Murati posted on X in January that Thinking Machines Lab had “parted ways” with Zoph and that he would be replaced as CTO.
Thinking Machines Lab has its own tensions with OpenAI. Murati briefly took over as CEO from OpenAI CEO Sam Altman during his November 2023 ouster, and during the recent OpenAI trial, Murati testified that she couldn’t trust everything Altman said. In September 2024, when Murati left OpenAI to start Thinking Machines Lab, a group of OpenAI employees followed shortly after. But three of them — including Zoph — all returned to OpenAI together this past January. Fidji Simo, OpenAI’s CEO of Applications, wrote on X at the time that she was “excited to welcome Barret Zoph, Luke Metz, and Sam Schoenholz back” and that the decision had “been in the works for several weeks.”
Five months after returning to OpenAI, Barret Zoph — the company’s head of enterprise AI…
Hong Kong’s privacy watchdog has launched a data privacy academy as part of efforts to…
Among other things, Lockdown Mode will disable live web browsing (so you can only access cached content), the retrieval and display of images from the web (you can still generate images), deep research, and agent mode.
The company says that even with Lockdown Mode turned on, ChatGPT could still be vulnerable to prompt injections — which could, for example, “appear in cached web content or in an uploaded file, and could still affect the behavior or accuracy of a response.”
But the goal is to reduce the likelihood that sensitive data gets shared in the process.
“Lockdown Mode is not intended for everyone,” OpenAI says. “It is designed for people and organizations that handle sensitive data and want stricter protection from data exfiltration risks related to prompt injection.”
The company says it’s currently rolling Lockdown Mode out to self-serve ChatGPT Business accounts, as well as eligible personal accounts.
OpenAI announced a new feature that it says will provide additional protection from prompt injection attacks, where malicious chatbot instructions are hidden in webpages and other content sources.
Among other things, Lockdown Mode will disable live web browsing (so you can only access cached content), the retrieval and display of images from the web (you can still generate images), deep research, and agent mode.
The company says that even with Lockdown Mode turned on, ChatGPT could still be vulnerable to prompt injections — which could, for example, “appear in cached web content or in an uploaded file, and could still affect the behavior or accuracy of a response.”
But the goal is to reduce the likelihood that sensitive data gets shared in the process.
“Lockdown Mode is not intended for everyone,” OpenAI says. “It is designed for people and organizations that handle sensitive data and want stricter protection from data exfiltration risks related to prompt injection.”
The company says it’s currently rolling Lockdown Mode out to self-serve ChatGPT Business accounts, as well as eligible personal accounts.
OpenAI announced a new feature that it says will provide additional protection from prompt injection…
In a blog post on Thursday, Anthropic wrote that it “has raised $65 billion in Series H funding led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, valuing the company at $965 billion post-money.” The most recent blog post along similar lines from OpenAI places its valuation at $852 billion.
That means the top of the leaderboard has flipped. Among AI-first tech companies, Anthropic, “the Claude one,” is now technically more valuable than OpenAI, “the ChatGPT one.”
There are, however, some mitigating factors to keep in mind about these valuations. First of all, as critics like Ed Zitron avidly and constantly point out (as well as more staid, mainstream critics like HSBC), AI as a core business is—to say the leas—unproven as a strategy for long-term profitability. Anthropic claims to have just turned an operating profit for one quarter, as the Wall Street Journal reported, but that story also notes that “it is unclear what accounting methods Anthropic has used to book revenue and costs,” and that, “The company might not remain profitable for the full year as it plans spending increases due to its vast computing needs.“
So it would be a stretch to call Anthropic a profitable company. Those aforementioned “vast computing needs” are no secret. It has committed hundreds of billions of dollars to companies like Amazon, Google, and Broadcom over the next decade, and it’s made a short term commitment of $1.5 billion per month to SpaceX.
Investors are no doubt aware of all that spending, but they also know Anthropic’s revenue exploded around the start of the 2026 calendar year because of an influx of enterprise clients. Vibe coding is the apparent norm now, creating a narrative in which companies supposedly no longer need young coders to do menial work thanks to Claude Code—along with competitor products like OpenAI’s Codex. Announcements of small changes to Anthropic’s Claude Code product have started to have huge impacts on the stock market, particularly the valuations of software-as-a-service (SaaS) companies.
Rather than leading lately, OpenAI is seen to be playing catch-up.
However, another thing to keep in mind about Anthropic being the new valuation champion is that OpenAI’s most recent valuation was calculated based on a funding round from two months before Anthropic’s. So this is a little like when a sports team overtakes a rival in league rankings having played one more game than the other. There’s more ball still to come.
Since OpenAI and Anthropic are—for now—both privately held companies, price discovery is scattered and a bit sketchy, especially since the companies still don’t have to report their earnings and expenditures publicly. For what it’s worth, Anthropic’s valuation on Forge Global, a secondary market for private shares overtook OpenAI’s last month, with Anthropic’s estimated value at around $1 trillion, and OpenAI’s at $880 billion.
Want an even sketchier estimate? Polymarket places the odds of Anthropic having a higher valuation than OpenAI at the end of June at 89% as of this writing.
Some degree of clarity is probably on its way. A May 20 New York Times article citing “two people with knowledge of the matter“ said OpenAI was expected to file for an IPO “in the coming weeks.” In fact, it may have filed confidentially on May 22. Meanwhile, Forbes says Anthropic’s IPO could come “as soon as October.”
So perhaps in fall there’ll be a clearer winner in this contest. By then, the pricing of shares in OpenAI and Anthropic will be publicly available in real time. If people dispute that one publicly traded AI company is “worth more” than the other, they can, and probably will, fire up an app like Robinhood and vote with their life savings. And then, well, God help them.

In a blog post on Thursday, Anthropic wrote that it “has raised $65 billion in Series H funding led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, valuing the company at $965 billion post-money.” The most recent blog post along similar lines from OpenAI places its valuation at $852 billion.
That means the top of the leaderboard has flipped. Among AI-first tech companies, Anthropic, “the Claude one,” is now technically more valuable than OpenAI, “the ChatGPT one.”
There are, however, some mitigating factors to keep in mind about these valuations. First of all, as critics like Ed Zitron avidly and constantly point out (as well as more staid, mainstream critics like HSBC), AI as a core business is—to say the leas—unproven as a strategy for long-term profitability. Anthropic claims to have just turned an operating profit for one quarter, as the Wall Street Journal reported, but that story also notes that “it is unclear what accounting methods Anthropic has used to book revenue and costs,” and that, “The company might not remain profitable for the full year as it plans spending increases due to its vast computing needs.“
So it would be a stretch to call Anthropic a profitable company. Those aforementioned “vast computing needs” are no secret. It has committed hundreds of billions of dollars to companies like Amazon, Google, and Broadcom over the next decade, and it’s made a short term commitment of $1.5 billion per month to SpaceX.
Investors are no doubt aware of all that spending, but they also know Anthropic’s revenue exploded around the start of the 2026 calendar year because of an influx of enterprise clients. Vibe coding is the apparent norm now, creating a narrative in which companies supposedly no longer need young coders to do menial work thanks to Claude Code—along with competitor products like OpenAI’s Codex. Announcements of small changes to Anthropic’s Claude Code product have started to have huge impacts on the stock market, particularly the valuations of software-as-a-service (SaaS) companies.
Rather than leading lately, OpenAI is seen to be playing catch-up.
However, another thing to keep in mind about Anthropic being the new valuation champion is that OpenAI’s most recent valuation was calculated based on a funding round from two months before Anthropic’s. So this is a little like when a sports team overtakes a rival in league rankings having played one more game than the other. There’s more ball still to come.
Since OpenAI and Anthropic are—for now—both privately held companies, price discovery is scattered and a bit sketchy, especially since the companies still don’t have to report their earnings and expenditures publicly. For what it’s worth, Anthropic’s valuation on Forge Global, a secondary market for private shares overtook OpenAI’s last month, with Anthropic’s estimated value at around $1 trillion, and OpenAI’s at $880 billion.
Want an even sketchier estimate? Polymarket places the odds of Anthropic having a higher valuation than OpenAI at the end of June at 89% as of this writing.
Some degree of clarity is probably on its way. A May 20 New York Times article citing “two people with knowledge of the matter“ said OpenAI was expected to file for an IPO “in the coming weeks.” In fact, it may have filed confidentially on May 22. Meanwhile, Forbes says Anthropic’s IPO could come “as soon as October.”
So perhaps in fall there’ll be a clearer winner in this contest. By then, the pricing of shares in OpenAI and Anthropic will be publicly available in real time. If people dispute that one publicly traded AI company is “worth more” than the other, they can, and probably will, fire up an app like Robinhood and vote with their life savings. And then, well, God help them.
In a blog post on Thursday, Anthropic wrote that it “has raised $65 billion in…
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
#Elon #Musk #Sam #Altman #stole #nonprofit #trial #showed #similar #aims #TechCrunchElon Musk,OpenAI,sam altman,Tesla">
Watching the closing arguments last week, OpenAI’s attorneys detailed point-by-point how the law was on their client’s side, while the plaintiffs team focused on Sam Altman’s apparent lack of credibility and expressed disbelief that anyone would disagree with Musk’s accusations.
The final effect was that, after the verdict, some found it hard to believe Musk had lost — including the man himself. In a post he later deleted, Musk called Judge Yvonne Gonzalez Rogers a “terrible activist Oakland judge,” then announced his plans to appeal, declaring “there is no question to anyone following the case in detail that Altman & Brockman did in fact enrich themselves by stealing a charity.”
But Altman and Brockman weren’t the only figures who benefitted from OpenAI’s non-profit investments. As much as Musk and his legal team tried to make the trial about Altman, the proceedings revealed just as much about Musk himself.
One incident that came out in court showed Musk benefiting from OpenAI in an uncomfortably familiar way. Greg Brockman testified that in 2017, Musk asked him to bring a team of OpenAI researchers down to Tesla’s headquarters to help with the autopilot team for a few weeks. “It was pretty clear that was not something we could say no to,” Brockman said.
Brockman described taking a team of leading scientists, including Andrej Karpathy, Ilya Sutskever, and Scott Grey, to consult with the “demoralized” Tesla workers. They helped come up with ideas to improve the vehicle’s self-driving technology, with Sutskever telling the team that if they could find 10,000 images of a tricky corner case, they would be able to fix their software. Musk even asked Brockman to recommend employees to fire, which he declined to do.
Another person familiar with the episode confirmed Brockman’s account, and said Tesla did not reimburse OpenAI for the time and effort of its employees. Musk’s family office, Excession, didn’t reply to a request for comment.
The heart of Musk’s case is that Altman, Brockman and OpenAI committed a “breach of charitable trust” — that Musk donated funds for a specific charitable purpose, and his cofounders instead used them for something else. He also accuses them of “unjust enrichment” due stock and other benefits from OpenAI’s for-profit.
In the case of the OpenAI scientists parachuting into Tesla, Musk’s charitable donations were intended to hire scientists focused on securing the benefits of AGI. Instead, he had them work for free at his for-profit company.
Dorothy Lund, a Columbia Law School professor and the co-host of the Beyond Unprecedented podcast, told TechCrunch that this arrangement wouldn’t be legal, calling it “a bit rich for Musk to be suing for breach of a charitable trust, when he appears to have been redirecting assets in a way that was inconsistent with that mission.”
It’s true that the self-driving work involved artificial intelligence, but witnesses for Musk emphasized that Tesla’s self-driving project was very different from OpenAI’s research agenda. That’s in part because Karpathy left OpenAI for Tesla shortly after this incident. OpenAI’s attorneys portrayed the departure as Musk violating his duty to the lab, where he was co-chair of the board, by recruiting one of its key researchers to his own company.
The other fact that no doubt influenced the jury was the amount of time Musk spent trying to gain sole control of a potential OpenAI for-profit affiliate in 2017. Musk deployed good cop, bad cop tactics in an attempt to convince his cofounders to let him have total control of OpenAI’s for-profit affiliate — giving them free Teslas, and threatening to withhold his donations.
His efforts put his attorneys in a tricky spot, facing a need to convince the jury there was a significant difference between what Musk envisioned, and the for-profit that was ultimately created. They suggested a “small adjunct” for-profit would be permissible, though OpenAI’s witnesses showed non-profits with large commercial arms are common.
Indeed, there’s a very plausible counter-factual where Musk took one of the offers his cofounders made to split their equity more evenly, and finds himself today as one of OpenAI’s largest shareholders — just not the controlling one. But several times during the trial, Musk’s associates testified that he refuses to invest in any business he could have sole control over.
The failure of Musk’s claims because he filed them too late has been cited as a technicality, but the statute of limitations has substance behind it: People and businesses make important decisions and spend resources based on their understanding that what they are doing is permissible. If someone like Musk waits too long to sue, then the cost of unravelling all those decisions can outweigh a just reimbursement.
No members of the jury have spoken about how they arrived at their verdict. However, they were asked to consider if, before Aug. 5, 2021, Musk should have known that OpenAI was spending resources outside its mission or launching for-profit affiliate. The answer to that is clear: Musk himself was doing those things.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
#Elon #Musk #Sam #Altman #stole #nonprofit #trial #showed #similar #aims #TechCrunchElon Musk,OpenAI,sam altman,Tesla">Elon Musk said Sam Altman “stole” a non-profit — but the trial showed he had similar aims | TechCrunchThe jury’s speedy decision to reject Elon Musk’s lawsuit against the other founders of OpenAI and Microsoft confirmed what we saw in the courtroom: Musk’s case was a weak one, in part because he waited so long to file it.
Watching the closing arguments last week, OpenAI’s attorneys detailed point-by-point how the law was on their client’s side, while the plaintiffs team focused on Sam Altman’s apparent lack of credibility and expressed disbelief that anyone would disagree with Musk’s accusations.
The final effect was that, after the verdict, some found it hard to believe Musk had lost — including the man himself. In a post he later deleted, Musk called Judge Yvonne Gonzalez Rogers a “terrible activist Oakland judge,” then announced his plans to appeal, declaring “there is no question to anyone following the case in detail that Altman & Brockman did in fact enrich themselves by stealing a charity.”
But Altman and Brockman weren’t the only figures who benefitted from OpenAI’s non-profit investments. As much as Musk and his legal team tried to make the trial about Altman, the proceedings revealed just as much about Musk himself.
One incident that came out in court showed Musk benefiting from OpenAI in an uncomfortably familiar way. Greg Brockman testified that in 2017, Musk asked him to bring a team of OpenAI researchers down to Tesla’s headquarters to help with the autopilot team for a few weeks. “It was pretty clear that was not something we could say no to,” Brockman said.
Brockman described taking a team of leading scientists, including Andrej Karpathy, Ilya Sutskever, and Scott Grey, to consult with the “demoralized” Tesla workers. They helped come up with ideas to improve the vehicle’s self-driving technology, with Sutskever telling the team that if they could find 10,000 images of a tricky corner case, they would be able to fix their software. Musk even asked Brockman to recommend employees to fire, which he declined to do.
Another person familiar with the episode confirmed Brockman’s account, and said Tesla did not reimburse OpenAI for the time and effort of its employees. Musk’s family office, Excession, didn’t reply to a request for comment.
The heart of Musk’s case is that Altman, Brockman and OpenAI committed a “breach of charitable trust” — that Musk donated funds for a specific charitable purpose, and his cofounders instead used them for something else. He also accuses them of “unjust enrichment” due stock and other benefits from OpenAI’s for-profit.
In the case of the OpenAI scientists parachuting into Tesla, Musk’s charitable donations were intended to hire scientists focused on securing the benefits of AGI. Instead, he had them work for free at his for-profit company.
Dorothy Lund, a Columbia Law School professor and the co-host of the Beyond Unprecedented podcast, told TechCrunch that this arrangement wouldn’t be legal, calling it “a bit rich for Musk to be suing for breach of a charitable trust, when he appears to have been redirecting assets in a way that was inconsistent with that mission.”
It’s true that the self-driving work involved artificial intelligence, but witnesses for Musk emphasized that Tesla’s self-driving project was very different from OpenAI’s research agenda. That’s in part because Karpathy left OpenAI for Tesla shortly after this incident. OpenAI’s attorneys portrayed the departure as Musk violating his duty to the lab, where he was co-chair of the board, by recruiting one of its key researchers to his own company.
The other fact that no doubt influenced the jury was the amount of time Musk spent trying to gain sole control of a potential OpenAI for-profit affiliate in 2017. Musk deployed good cop, bad cop tactics in an attempt to convince his cofounders to let him have total control of OpenAI’s for-profit affiliate — giving them free Teslas, and threatening to withhold his donations.
His efforts put his attorneys in a tricky spot, facing a need to convince the jury there was a significant difference between what Musk envisioned, and the for-profit that was ultimately created. They suggested a “small adjunct” for-profit would be permissible, though OpenAI’s witnesses showed non-profits with large commercial arms are common.
Indeed, there’s a very plausible counter-factual where Musk took one of the offers his cofounders made to split their equity more evenly, and finds himself today as one of OpenAI’s largest shareholders — just not the controlling one. But several times during the trial, Musk’s associates testified that he refuses to invest in any business he could have sole control over.
The failure of Musk’s claims because he filed them too late has been cited as a technicality, but the statute of limitations has substance behind it: People and businesses make important decisions and spend resources based on their understanding that what they are doing is permissible. If someone like Musk waits too long to sue, then the cost of unravelling all those decisions can outweigh a just reimbursement.
No members of the jury have spoken about how they arrived at their verdict. However, they were asked to consider if, before Aug. 5, 2021, Musk should have known that OpenAI was spending resources outside its mission or launching for-profit affiliate. The answer to that is clear: Musk himself was doing those things.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
#Elon #Musk #Sam #Altman #stole #nonprofit #trial #showed #similar #aims #TechCrunchElon Musk,OpenAI,sam altman,TeslaThe jury’s speedy decision to reject Elon Musk’s lawsuit against the other founders of OpenAI…
After two weeks of hearing from assorted witnesses that he was a lying snake, the jury finally heard from the lying snake himself: Sam Altman. At the end of the testimony, his lawyer William Savitt asked him how it felt to be accused of stealing a charity.
“We created, through a ton of hard work, this extremely large charity, and I agree you can’t steal it,” Altman said. “Mr. Musk did try to kill it, I guess. Twice.”
Altman was fully in “nice kid from St. Louis” mode, and did a passable impression of a man who was bewildered at what was happening to him. When he stepped down from the stand holding a stack of evidence binders, he even looked a little like a schoolboy. He seemed nervous at the beginning of his direct testimony, though he warmed up fairly quickly. Overall, he seemed to give credible testimony — and at times, it seemed like the jury liked him.
Throughout this trial I’ve had some difficulty imagining what the jury is making of all this because I am a little too familiar with the figures who are testifying. I have heard some audacious lies under oath, like when Elon Musk told us all he doesn’t lose his temper. (He then proceeded to lose his temper on cross-examination.) Or like when Shivon Zilis, the mother of several of his children, told us that she didn’t know Musk was starting xAI — which seemed to be directly contradicted by her text messages. Or when Greg “What will take me to $1B?” Brockman told us he was all about the mission. I certainly believe Altman isn’t trustworthy — I mean, The New Yorker published more than 17,000 words about how much he lies. But unlike with Musk, there are contemporaneous documents backing Altman’s version of the story. At least, mostly.
“My belief is he wanted to have long-term control”
After OpenAI’s Dota 2 win, discussions for a for-profit arm started in earnest. “Mr. Musk felt very strongly that if we were going to form a for-profit he needed to have total control over it initially,” Altman said. “He only trusted himself to make non-obvious decisions that were going to turn out to be correct.”
Altman testified that he was uncomfortable with Musk’s insistence on control, not just because Musk hadn’t been as involved as everyone else, but because OpenAI existed so no one person would control AGI. And at Y Combinator, the startup incubator where he was president, Altman had seen a lot of control fights; no one wanted to give up power when things were going well. With structures like supervoting shares, founders could retain control forever. Curiously, Altman’s example was not the most famous one (Mark Zuckerberg at Meta); it was Musk and SpaceX. When Altman asked Musk about succession plans for OpenAI, he got a particularly “hair-raising” answer: In the event of Musk’s death, Musk said, “I haven’t thought about it a ton, but maybe control should pass to my children.”
I don’t know about that. But I do know that I saw a 2017 email from Altman to Zilis in which he wrote, “I am worried about control. I don’t think any one person should have control of the world’s first AGI — in fact the whole reason we started OpenAI was so that wouldn’t happen.” He went on to say that he didn’t mind the idea of immediate control and was open to “creative structures” — which I understood to mean that, in order to placate Musk, Altman was willing to give him control up to specific milestones in company development.
“I read a vague, like, a lightweight threat in there”
“My belief is he wanted to have long-term control and that he would’ve had that had we agreed to the structure he wanted,” Altman said on the stand. This sounds basically right. In later video testimony from Sam Teller’s deposition, we heard that Musk no longer invests in anything he doesn’t control. This also fits with Musk’s long-term fixation on making sure he can’t get booted from his own company the way he got booted from PayPal.
Musk also tried to recruit Altman to Tesla. We saw texts between Altman and Teller, in which Teller told Altman that Musk was committed to beefing up Tesla’s AI no matter what, and that he hoped that Altman, Brockman, and Ilya Sutskever would want to join eventually. “I read a vague, like, a lightweight threat in there, that he’s gonna do this inside of Tesla with or without you,” Altman said. But he felt that Tesla was primarily a car company — allowing it to acquire OpenAI would betray OpenAI’s mission.
Later, in Teller’s testimony, we saw texts Teller sent to Zilis at 12:40AM on February 4th, 2018: “I don’t love OpenAI continuing without Elon,” he wrote. “Would rather disable it by recruiting the leaders.”
When Musk stopped his quarterly donations, OpenAI was operating on a “shoestring” with an “extremely short runway of cash.” OpenAI did have other donors, none of whom have sued it or joined Musk’s suit. (One donor in the exhibit that wasn’t called out to the courtroom was Alameda Research, the firm owned by Sam Bankman-Fried, who is now in prison for fraud and money laundering.) Musk’s resignation from the board meant “people wondered if he was gonna try to take, uh, vengeance out on us or something.” On the other hand, Altman said Musk had “demotivated some of our key researchers” and done “huge damage for a long time to the culture of the organization.” So it sure seems like some people were relieved to be rid of him.
I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial
We saw a lot of evidence that throughout the time Altman was setting up OpenAI’s for-profit arm, he kept Musk apprised of what was going on, either directly or through Zilis or Teller. At no point did Musk object, and whatever he said publicly about the Microsoft investments, there was plenty of evidence that privately he’d been made aware.
On the cross-examination, we were treated to more than 10 minutes of Steven Molo telling Altman that various and assorted people had called him a liar: Sutskever, Mira Murati, Helen Toner, Tasha McCauley, Daniela and Dario Amodei (former OpenAI employees and founders of Anthropic), employees at Altman’s first startup Loopt, that recent New Yorker article, a book called The Optimist, etc. Molo did score some points by asking Altman about testimony in the trial, which Altman said he wasn’t paying close attention to. Molo acted as though this was inconceivable. Surely someone had informed Altman of what was said?
It was a little funny and also a little tiresome. Altman kept his cool, though, seeming hurt and confused by the focus on whether he was a liar. It was also the most successful part of the cross, which declined in focus precipitously afterward. I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial, and today was pretty bad. At one point, when Molo was trying to capitalize on Altman being both CEO and on the company’s board, Altman said — truthfully — that CEOs are almost always on the boards of the companies they run.
(At this point in my notes, I had written, “Boy, Molo is not very good at this.”)
The point of this trial isn’t to win — it’s to punish Altman, Brockman, and OpenAI
There was also an unconvincing argument about fundraising in nonprofits, specifically that if Stanford could raise $3 billion a year, OpenAI should have remained a nonprofit. Okay, let’s just think about that for a minute. Stanford has a donor network of thousands of graduates. It’s a school, which has very different capital requirements. It is not competing with any reputable for-profit companies. But leave that all aside and assume that some fundraising genius took over at the OpenAI Foundation: $3 billion is the initial two Microsoft investments combined, and not enough to scale OpenAI to where it is now. If compute is the main bottleneck on building AI models, then Molo’s line of argument suggests OpenAI never would have managed to be successful as a nonprofit alone. He’s making the defense’s case for them.
But the thing is, Molo doesn’t actually have to be good at this job, because the point of this trial isn’t to win — though I’m sure Musk wouldn’t mind a win. The point is to punish Altman, Brockman, and OpenAI. Musk has done that pretty thoroughly — reinforcing in the public’s mind that Altman is a liar and a snake. This morning, I read an exclusive in The Wall Street Journal that assorted Republican AGs and the House Oversight committee wanted to look into Sam Altman’s investments. References to the trial are peppered throughout the article.
So yes, Altman was convincing on the stand. He may even win the suit. But it sure seems like Musk’s vengeance has just begun.
After two weeks of hearing from assorted witnesses that he was a lying snake, the jury finally heard from the lying snake himself: Sam Altman. At the end of the testimony, his lawyer William Savitt asked him how it felt to be accused of stealing a charity.
“We created, through a ton of hard work, this extremely large charity, and I agree you can’t steal it,” Altman said. “Mr. Musk did try to kill it, I guess. Twice.”
Altman was fully in “nice kid from St. Louis” mode, and did a passable impression of a man who was bewildered at what was happening to him. When he stepped down from the stand holding a stack of evidence binders, he even looked a little like a schoolboy. He seemed nervous at the beginning of his direct testimony, though he warmed up fairly quickly. Overall, he seemed to give credible testimony — and at times, it seemed like the jury liked him.
Throughout this trial I’ve had some difficulty imagining what the jury is making of all this because I am a little too familiar with the figures who are testifying. I have heard some audacious lies under oath, like when Elon Musk told us all he doesn’t lose his temper. (He then proceeded to lose his temper on cross-examination.) Or like when Shivon Zilis, the mother of several of his children, told us that she didn’t know Musk was starting xAI — which seemed to be directly contradicted by her text messages. Or when Greg “What will take me to $1B?” Brockman told us he was all about the mission. I certainly believe Altman isn’t trustworthy — I mean, The New Yorker published more than 17,000 words about how much he lies. But unlike with Musk, there are contemporaneous documents backing Altman’s version of the story. At least, mostly.
“My belief is he wanted to have long-term control”
After OpenAI’s Dota 2 win, discussions for a for-profit arm started in earnest. “Mr. Musk felt very strongly that if we were going to form a for-profit he needed to have total control over it initially,” Altman said. “He only trusted himself to make non-obvious decisions that were going to turn out to be correct.”
Altman testified that he was uncomfortable with Musk’s insistence on control, not just because Musk hadn’t been as involved as everyone else, but because OpenAI existed so no one person would control AGI. And at Y Combinator, the startup incubator where he was president, Altman had seen a lot of control fights; no one wanted to give up power when things were going well. With structures like supervoting shares, founders could retain control forever. Curiously, Altman’s example was not the most famous one (Mark Zuckerberg at Meta); it was Musk and SpaceX. When Altman asked Musk about succession plans for OpenAI, he got a particularly “hair-raising” answer: In the event of Musk’s death, Musk said, “I haven’t thought about it a ton, but maybe control should pass to my children.”
I don’t know about that. But I do know that I saw a 2017 email from Altman to Zilis in which he wrote, “I am worried about control. I don’t think any one person should have control of the world’s first AGI — in fact the whole reason we started OpenAI was so that wouldn’t happen.” He went on to say that he didn’t mind the idea of immediate control and was open to “creative structures” — which I understood to mean that, in order to placate Musk, Altman was willing to give him control up to specific milestones in company development.
“I read a vague, like, a lightweight threat in there”
“My belief is he wanted to have long-term control and that he would’ve had that had we agreed to the structure he wanted,” Altman said on the stand. This sounds basically right. In later video testimony from Sam Teller’s deposition, we heard that Musk no longer invests in anything he doesn’t control. This also fits with Musk’s long-term fixation on making sure he can’t get booted from his own company the way he got booted from PayPal.
Musk also tried to recruit Altman to Tesla. We saw texts between Altman and Teller, in which Teller told Altman that Musk was committed to beefing up Tesla’s AI no matter what, and that he hoped that Altman, Brockman, and Ilya Sutskever would want to join eventually. “I read a vague, like, a lightweight threat in there, that he’s gonna do this inside of Tesla with or without you,” Altman said. But he felt that Tesla was primarily a car company — allowing it to acquire OpenAI would betray OpenAI’s mission.
Later, in Teller’s testimony, we saw texts Teller sent to Zilis at 12:40AM on February 4th, 2018: “I don’t love OpenAI continuing without Elon,” he wrote. “Would rather disable it by recruiting the leaders.”
When Musk stopped his quarterly donations, OpenAI was operating on a “shoestring” with an “extremely short runway of cash.” OpenAI did have other donors, none of whom have sued it or joined Musk’s suit. (One donor in the exhibit that wasn’t called out to the courtroom was Alameda Research, the firm owned by Sam Bankman-Fried, who is now in prison for fraud and money laundering.) Musk’s resignation from the board meant “people wondered if he was gonna try to take, uh, vengeance out on us or something.” On the other hand, Altman said Musk had “demotivated some of our key researchers” and done “huge damage for a long time to the culture of the organization.” So it sure seems like some people were relieved to be rid of him.
I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial
We saw a lot of evidence that throughout the time Altman was setting up OpenAI’s for-profit arm, he kept Musk apprised of what was going on, either directly or through Zilis or Teller. At no point did Musk object, and whatever he said publicly about the Microsoft investments, there was plenty of evidence that privately he’d been made aware.
On the cross-examination, we were treated to more than 10 minutes of Steven Molo telling Altman that various and assorted people had called him a liar: Sutskever, Mira Murati, Helen Toner, Tasha McCauley, Daniela and Dario Amodei (former OpenAI employees and founders of Anthropic), employees at Altman’s first startup Loopt, that recent New Yorker article, a book called The Optimist, etc. Molo did score some points by asking Altman about testimony in the trial, which Altman said he wasn’t paying close attention to. Molo acted as though this was inconceivable. Surely someone had informed Altman of what was said?
It was a little funny and also a little tiresome. Altman kept his cool, though, seeming hurt and confused by the focus on whether he was a liar. It was also the most successful part of the cross, which declined in focus precipitously afterward. I’ve seen some fairly shoddy lawyering from Musk’s side throughout this trial, and today was pretty bad. At one point, when Molo was trying to capitalize on Altman being both CEO and on the company’s board, Altman said — truthfully — that CEOs are almost always on the boards of the companies they run.
(At this point in my notes, I had written, “Boy, Molo is not very good at this.”)
The point of this trial isn’t to win — it’s to punish Altman, Brockman, and OpenAI
There was also an unconvincing argument about fundraising in nonprofits, specifically that if Stanford could raise $3 billion a year, OpenAI should have remained a nonprofit. Okay, let’s just think about that for a minute. Stanford has a donor network of thousands of graduates. It’s a school, which has very different capital requirements. It is not competing with any reputable for-profit companies. But leave that all aside and assume that some fundraising genius took over at the OpenAI Foundation: $3 billion is the initial two Microsoft investments combined, and not enough to scale OpenAI to where it is now. If compute is the main bottleneck on building AI models, then Molo’s line of argument suggests OpenAI never would have managed to be successful as a nonprofit alone. He’s making the defense’s case for them.
But the thing is, Molo doesn’t actually have to be good at this job, because the point of this trial isn’t to win — though I’m sure Musk wouldn’t mind a win. The point is to punish Altman, Brockman, and OpenAI. Musk has done that pretty thoroughly — reinforcing in the public’s mind that Altman is a liar and a snake. This morning, I read an exclusive in The Wall Street Journal that assorted Republican AGs and the House Oversight committee wanted to look into Sam Altman’s investments. References to the trial are peppered throughout the article.
So yes, Altman was convincing on the stand. He may even win the suit. But it sure seems like Musk’s vengeance has just begun.
After two weeks of hearing from assorted witnesses that he was a lying snake, the…
OpenAI is launching Daybreak, our effort to accelerate cyber defense and continuously secure software.
AI is already good and about to get super good at cybersecurity; we’d like to start working with as many companies as possible now to help them continuously secure themselves.
— Sam Altman (@sama) May 11, 2026
The OpenAI blog post announcing Daybreak doesn’t mention the word “project” at all, perhaps to make readers slightly less apt to compare it to Anthropic’s Project Glasswing, but watch this: this sounds mighty similar to Anthropic’s Project Glasswing. Like Project Glasswing, it’s a program in which a frontier AI company seeks to partner with corporate and government entities to root out security vulnerabilities using OpenAI’s most advanced models in the hopes of “seeing risk earlier, acting sooner, and helping make software resilient by design.”
Glasswing rolled out last month alongside Anthropic’s announcement of its Claude Mythos Preview model, famously the model so capable—according to its creators at least—that it posed a danger to the world. As Anthropic’s system card for the model, explained:
Claude Mythos Preview’s large increase in capabilities has led us to decide not to make it generally available. Instead, we are using it as part of a defensive cybersecurity program with a limited set of partners.
In other words, because it’s “the most cyber-capable model” Anthropic had ever built, it needs to be locked away for now, unless you’re a VIP. Influential software developer Daniel Stenberg has called this an “amazingly successful marketing stunt for sure.”
Two days after that announcement, reports started materializing about a similar project at OpenAI. An anonymously sourced Axios story described it as “a product with advanced cybersecurity capabilities that it plans to release to a small set of partners.”
The Daybreak announcement is much more public-facing than that, and comes across as significantly less ominous and secretive than Project Glasswing. The top of the page has two buttons: “Request a vulnerability scan” and “Contact sales.” When you click, “Request a vulnerability scan” you get a brief and unchallenging form:

Altman said in his X post that OpenAI would “like to start working with as many companies as possible now,” and in fairness, that’s how the effort comes across. Compared to way Project Glasswing rolled out, with frightened governments scurrying around behind the scenes like agitated ants, it’s refreshing.
The announcement says Daybreak makes use of Codex Security, which was announced as a research preview back in March, to create a “threat model” of a given system that outlines its functions, who is trusted by the system, and what the vulnerabilities therefore are. With that as its context, it then digs into your actual codebase for the real world exploits.
Then, in theory, it Daybreak patches them.
On Monday, OpenAI announced something called “Daybreak,” a project that CEO Sam Altman says is meant to “accelerate cyber defense and continuously secure software.“
OpenAI is launching Daybreak, our effort to accelerate cyber defense and continuously secure software.
AI is already good and about to get super good at cybersecurity; we’d like to start working with as many companies as possible now to help them continuously secure themselves.
— Sam Altman (@sama) May 11, 2026
The OpenAI blog post announcing Daybreak doesn’t mention the word “project” at all, perhaps to make readers slightly less apt to compare it to Anthropic’s Project Glasswing, but watch this: this sounds mighty similar to Anthropic’s Project Glasswing. Like Project Glasswing, it’s a program in which a frontier AI company seeks to partner with corporate and government entities to root out security vulnerabilities using OpenAI’s most advanced models in the hopes of “seeing risk earlier, acting sooner, and helping make software resilient by design.”
Glasswing rolled out last month alongside Anthropic’s announcement of its Claude Mythos Preview model, famously the model so capable—according to its creators at least—that it posed a danger to the world. As Anthropic’s system card for the model, explained:
Claude Mythos Preview’s large increase in capabilities has led us to decide not to make it generally available. Instead, we are using it as part of a defensive cybersecurity program with a limited set of partners.
In other words, because it’s “the most cyber-capable model” Anthropic had ever built, it needs to be locked away for now, unless you’re a VIP. Influential software developer Daniel Stenberg has called this an “amazingly successful marketing stunt for sure.”
Two days after that announcement, reports started materializing about a similar project at OpenAI. An anonymously sourced Axios story described it as “a product with advanced cybersecurity capabilities that it plans to release to a small set of partners.”
The Daybreak announcement is much more public-facing than that, and comes across as significantly less ominous and secretive than Project Glasswing. The top of the page has two buttons: “Request a vulnerability scan” and “Contact sales.” When you click, “Request a vulnerability scan” you get a brief and unchallenging form:

Altman said in his X post that OpenAI would “like to start working with as many companies as possible now,” and in fairness, that’s how the effort comes across. Compared to way Project Glasswing rolled out, with frightened governments scurrying around behind the scenes like agitated ants, it’s refreshing.
The announcement says Daybreak makes use of Codex Security, which was announced as a research preview back in March, to create a “threat model” of a given system that outlines its functions, who is trusted by the system, and what the vulnerabilities therefore are. With that as its context, it then digs into your actual codebase for the real world exploits.
Then, in theory, it Daybreak patches them.
On Monday, OpenAI announced something called “Daybreak,” a project that CEO Sam Altman says is…
Its launch comes just over a month after rival Anthropic announced Claude Mythos, a security-focused AI model it claimed was too dangerous to publicly release and only shared privately as a part of its own initiative, dubbed Project Glasswing. Still, that didn’t stop at least a few unauthorized parties from getting access.
However, OpenAI has so far lacked a similar security product. Like Glasswing, Daybreak isn’t built on just one AI model — OpenAI says “Daybreak brings together the most capable OpenAI models, Codex, and our security partners.”
Daybreak also involves specialized cyber models, including GPT-5.5 with Trusted Access for Cyber and GPT-5.5-Cyber, which began rolling out last week. OpenAI also says it’s working with its “industry and government partners” while it prepares to “deploy increasingly more cyber-capable models.”
Its launch comes just over a month after rival Anthropic announced Claude Mythos, a security-focused AI model it claimed was too dangerous to publicly release and only shared privately as a part of its own initiative, dubbed Project Glasswing. Still, that didn’t stop at least a few unauthorized parties from getting access.
However, OpenAI has so far lacked a similar security product. Like Glasswing, Daybreak isn’t built on just one AI model — OpenAI says “Daybreak brings together the most capable OpenAI models, Codex, and our security partners.”
Daybreak also involves specialized cyber models, including GPT-5.5 with Trusted Access for Cyber and GPT-5.5-Cyber, which began rolling out last week. OpenAI also says it’s working with its “industry and government partners” while it prepares to “deploy increasingly more cyber-capable models.”
OpenAI is launching Daybreak, an AI initiative focused on detecting and patching vulnerabilities before attackers find them. Daybreak uses the Codex Security AI agent that launched in March to create a threat model based on an organization’s code and focus on possible attack paths, validate likely vulnerabilities, and then automate the detection of the higher risk ones.
Its launch comes just over a month after rival Anthropic announced Claude Mythos, a security-focused AI model it claimed was too dangerous to publicly release and only shared privately as a part of its own initiative, dubbed Project Glasswing. Still, that didn’t stop at least a few unauthorized parties from getting access.
However, OpenAI has so far lacked a similar security product. Like Glasswing, Daybreak isn’t built on just one AI model — OpenAI says “Daybreak brings together the most capable OpenAI models, Codex, and our security partners.”
Daybreak also involves specialized cyber models, including GPT-5.5 with Trusted Access for Cyber and GPT-5.5-Cyber, which began rolling out last week. OpenAI also says it’s working with its “industry and government partners” while it prepares to “deploy increasingly more cyber-capable models.”
OpenAI is launching Daybreak, an AI initiative focused on detecting and patching vulnerabilities before attackers…