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Lina Khan was right about the metaverse

Lina Khan was right about the metaverse

In 2021, the virtual world was the future of the internet. The pandemic had sequestered everyone indoors, heightening the appeal of digital communities. Facebook rebranded to Meta — a sign of the tech giant’s investment in and commitment to the metaverse as the future of the internet. Despite losing billions in VR, Meta released an upgraded version of the Quest 2 headset and began focusing on launching a higher-end Quest Pro. At the end of the year, it announced its plan to plunk down a rumored $400 million to buy the independent VR gaming studio Within, maker of a popular fitness game called Supernatural. Less than five years later, however, it shut the game down, leaving a community of avid fans bereft.

To former FTC chair Lina Khan, there’s a lesson in the ultimate fate of Supernatural, and the community that had grown up around it. She’d know — because she tried and failed to block Meta from acquiring Within.

“You need to have some regulatory humility because you don’t always know on the front-end how certain products are meaningful for certain communities,” says Khan. The FTC’s Meta lawsuit was often framed as an abstract attempt to rein in Big Tech. But in the end, the acquisition’s human cost was obvious — and an example of precisely why antitrust law matters. “Bringing to light that [Supernatural] was a core way for communities to stay healthy shows that there were real stakes here.”

When Khan took over the FTC, her goal was updating the standard antitrust law playbook, expanding the scope of what was considered a viable case. The Supernatural suit was one such example. It accused Meta of trying to “buy its way to the top” in the VR space by acquiring a string of development studios and the popular game Beat Saber. Allowing the sale would not only be illegal but would reduce competition in the space while handing an overwhelming advantage to Meta.

The FTC’s lawsuit zeroed in on the potential (or lack thereof) for future competition. It was a contentious approach. Historically, antitrust cases relied on proving harm to existing competition in mature markets. Tech leaders and some legal experts were baffled — how could acquiring such a small studio shift the scales in any meaningful way? Gary Shapiro, head of the Consumer Technology Association, penned a Forbes op-ed calling the case “laughable” and a “travesty.” Bloomberg reported that Khan had to overrule her own staff to bring the case forward. Meta argued the FTC’s case was based “more on ideology and speculation, not evidence.”

As expected, the FTC lost. The court ruling noted the FTC didn’t sufficiently prove Meta had an impact on the VR fitness market, stating “there is no direct or circumstantial evidence to suggest that Meta’s presence did in fact temper oligopolistic behavior or result in any other procompetitive benefits.” Meta took over Supernatural in 2023.

Earlier this year, Meta publicly stated its intent to shift away from the metaverse and pivot toward smart glasses and AI, leaving enthusiasts wondering about the state of the VR industry and its future. As part of widespread cuts to its Reality Labs division, Meta announced it would no longer create new content for Supernatural and proceeded to lay off a majority of the staff. It promised to keep the game’s archive available, but the reality is that Supernatural is dead in all but name. It left behind a community of players who feel callously abandoned and betrayed by a company that promised them innovation.

In recent months, Meta has stated it intends to shift toward AI and smart glasses, leaving its VR ambitions in limbo.
Photo by Amelia Holowaty Krales / The Verge

Meta’s outsized influence in VR was a major sticking point with dozens of devastated Supernatural fans who spoke with The Verge shortly after the announcement. Many drew a direct line from Meta’s decision to a lack of consequences for Big Tech enshittifying products, snapping up potential competitors, and leaving dedicated communities to rot once they were no longer deemed profitable. The most dedicated Supernatural users told The Verge that Meta buying Within was viewed as the “kiss of death.” Several other fans also pointed to the FTC case as evidence that Supernatural’s eventual demise at Meta’s hand was obvious.

“I keep thinking about how the FTC tried (but failed) to block [Zuckerberg’s] acquisition of Supernatural in 2023,” one Supernatural user wrote on the game’s subreddit. “This is a painfully good example as to why antitrust laws need to be enforced.”

The FTC’s case was a long shot. So, why do it at all?

“My tenure was coming against the backdrop of really needing to make sure we were learning lessons, especially in terms of the realities of how digital markets work,” Khan, now an associate professor at Columbia Law School, explains to The Verge.

“For the early 2000s, there was a sense that if anything, the best thing for government to do is to be hands off because these markets move too quickly. Then we learned that actually, no. These markets have certain properties, including network effects and data advantages that may mean monopoly power can become much more entrenched.”

Specifically, Khan points to the fact that until a few years ago, tech giants like Google, Amazon, Microsoft, and Meta had made over 800 acquisitions that went unchallenged. However, looking back, it was clear that some of those clearly tipped markets in favor of major players, allowing them to dominate markets unchecked. For example, Meta was able to acquire Instagram and WhatsApp, deepening its influence in the social media space.

“The core insight behind [antitrust] laws is that competition is what really boosts innovation,” says Khan. “Even if you have the biggest firms around, that have already become very successful, them having to look over their shoulder and see who’s kind of nipping at their heels is what makes them go faster.”

It’s impossible to say that a successful FTC case would have prevented Supernatural’s fate. The game could’ve easily been bought by a different tech giant that would’ve done the same thing. Or, as the FTC suggested, if Meta had entered the market with its own fitness app, then that app could’ve also displaced Supernatural.

Even so, Khan points out that blocking the acquisition would’ve made Supernatural less vulnerable to the whims of Meta’s larger business decisions and calculations. A different buyer may have allowed Supernatural to chug along as a medium-size fish in a much more diverse VR pond.

“We’ve just seen this practice, this pattern of recklessness that firms can take because certain services and products are not essential to their core business. They can play fast and loose,” says Khan. “They have the right to do that, but I’m thinking from the perspective of ‘Are they going to be deeply enmeshed in and recognize the kind of communities and customer bases that really want these products?’”

Big Tech’s capriciousness is something every tech lover has become intimately acquainted with. Google, for instance, is so well-known for neglecting and abandoning projects — regardless of popularity — that there’s an online graveyard dedicated to documenting each “killed” product. In trying to dominate the smart home, Amazon also has a sizable graveyard of Echo products.

“From a policy matter, I would worry about saying, ‘Okay, you know, the big companies will take care of it. That just hasn’t been how it’s worked out.”

Meta’s guilty of this, too. Between 2019 and 2022, Meta went on a shopping spree for leading VR studios, acquiring nine in total. Four, including Within, have since been shut down. Among them, Supernatural isn’t even the sole VR fitness game with a cult following that Meta axed. It also killed Echo VR in 2023 despite significant pushback from its users, leading its fan base to mourn the loss of a game that had become a source of comfort, physical activity, and connection.

It’s inaccurate to say that VR is completely dead. Valve also recently announced the Steam Frame, which has reignited some hope among VR gamers. But VR’s main, ongoing problem is that of software and platforms — one that’s been exacerbated in the short-term by Meta’s dominance and, now, seeming disinterest. If the company is publicly stating its primary interest lies elsewhere, what incentive is there for developers or startups to create new experiences for its platform? How long will it take before other companies pick up the mantle, if they ever do?

“From a policy matter, I would worry about saying, ‘Okay, you know, the big companies will take care of it,’” says Khan. “That just hasn’t been how it’s worked out.”

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Wednesday was a big day for the tech industry with Meta, Google, Amazon and Microsoft all reporting earnings at the same time in the afternoon. Out of the four, though, Meta was the clear loser with its shares down more than 7% even though revenue increased 33% this past quarter, the company’s fastest since 2021.

It’s probably because the company upped its already outrageous spending expectations for the year. Meta said that 2026 capital expenditures would be at least $10 billion more than expected and could top $145 billion. While emphasizing his “confidence in this investment,” CEO Mark Zuckerberg said that most of this increase was due to “higher component costs, particularly memory pricing.”

The AI boom has led to an unprecedented data center buildout that has constrained the global memory chip supply and increased prices for these valuable chips. The result has been a global memory crisis that has impacted not only Meta and the rest of the AI industry but also caused the prices of consumer electronics like laptops and smartphones to soar.

Meta’s $145 billion is a dramatic increase from the $72 billion capital expenditure it recorded just last year, and Zuckerberg is betting it all on an AI turnaround effort.

Meta has been left behind in the AI race as industry rivals like Google have soared past. Roughly 10 months ago, Zuckerberg acknowledged the situation and announced a major catch-up effort that saw him commit billions upon billions of dollars to research and development, and to poach talent from all over the industry, including bringing in Scale AI’s founder Alexandr Wang to lead the new Meta Superintelligence Labs AI division.

Many have been reasonably nervous about this commitment, considering that the company’s latest big bet in emerging tech, the Metaverse, has flopped dramatically. In Wednesday’s earnings report, Meta said that the Reality Labs division, which had helmed the Metaverse efforts, notched an operating loss of more than $4 billion, while only cashing in $402 million in sales. That adds to the whopping $80 billion and more the division has lost in the past six years.

But experts are somewhat more hopeful about the AI bet because, earlier this month, the tech giant debuted the first fruits of that investment with the AI model Muse Spark, a proprietary model that the company plans to open-source in the future. It’s a step in the right direction, but Meta still has to do more before it can confidently say the catch-up effort is successful.

“This was the first release from Meta Superintelligence Labs, and it shows that our work is on track to build a leading lab,” Zuckerberg assured investors in the company’s earnings call. “Now that we have a strong model, we can develop more novel products as well.”

Those novel products will include two agents, one for personal and the other for business uses, according to Zuckerberg.

“We’re already testing an early version of business AIs and weekly conversations have grown 10x since the start of this year,” Zuckerberg said.

One way that AI is clearly showing up to benefit Meta is internally. Meta CFO Susan Li said that over half a billion users weekly on Facebook and Instagram each are now watching videos translated and dubbed by AI. The company is also incorporating the new AI model into parts of its core business, like ads, and particularly into its recommendation system. The goal is to have the AI hyper-personalize feeds for users.

“Since our recommendation systems are operating at such large scale, we’ll phase in this new research and technology over time,” Zuckerberg said. “But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers.”

AI is also taking over internally at Meta. The company is laying off 10% of its workforce and reportedly offering voluntary buyouts to 7% of its U.S. staff, in what seems to follow a purportedly AI-driven trend that has taken Silicon Valley by storm.

On the call, executives wouldn’t say if the layoffs had to do with automation of jobs, but Li did say that a “leaner operating model” would help “offset the substantial investments we’re making.”

#Meta #Spend #Billion #Year #DueArtificial intelligence,Mark Zuckerberg,Meta">Meta Could Spend 5 Billion This Year Due to AI
                Wednesday was a big day for the tech industry with Meta, Google, Amazon and Microsoft all reporting earnings at the same time in the afternoon. Out of the four, though, Meta was the clear loser with its shares down more than 7% even though revenue increased 33% this past quarter, the company’s fastest since 2021. It’s probably because the company upped its already outrageous spending expectations for the year. Meta said that 2026 capital expenditures would be at least  billion more than expected and could top 5 billion. While emphasizing his “confidence in this investment,” CEO Mark Zuckerberg said that most of this increase was due to “higher component costs, particularly memory pricing.”

 The AI boom has led to an unprecedented data center buildout that has constrained the global memory chip supply and increased prices for these valuable chips. The result has been a global memory crisis that has impacted not only Meta and the rest of the AI industry but also caused the prices of consumer electronics like laptops and smartphones to soar. Meta’s 5 billion is a dramatic increase from the  billion capital expenditure it recorded just last year, and Zuckerberg is betting it all on an AI turnaround effort.

 Meta has been left behind in the AI race as industry rivals like Google have soared past. Roughly 10 months ago, Zuckerberg acknowledged the situation and announced a major catch-up effort that saw him commit billions upon billions of dollars to research and development, and to poach talent from all over the industry, including bringing in Scale AI’s founder Alexandr Wang to lead the new Meta Superintelligence Labs AI division.

 Many have been reasonably nervous about this commitment, considering that the company’s latest big bet in emerging tech, the Metaverse, has flopped dramatically. In Wednesday’s earnings report, Meta said that the Reality Labs division, which had helmed the Metaverse efforts, notched an operating loss of more than  billion, while only cashing in 2 million in sales. That adds to the whopping  billion and more the division has lost in the past six years. But experts are somewhat more hopeful about the AI bet because, earlier this month, the tech giant debuted the first fruits of that investment with the AI model Muse Spark, a proprietary model that the company plans to open-source in the future. It’s a step in the right direction, but Meta still has to do more before it can confidently say the catch-up effort is successful.

 “This was the first release from Meta Superintelligence Labs, and it shows that our work is on track to build a leading lab,” Zuckerberg assured investors in the company’s earnings call. “Now that we have a strong model, we can develop more novel products as well.” Those novel products will include two agents, one for personal and the other for business uses, according to Zuckerberg. “We’re already testing an early version of business AIs and weekly conversations have grown 10x since the start of this year,” Zuckerberg said.

 One way that AI is clearly showing up to benefit Meta is internally. Meta CFO Susan Li said that over half a billion users weekly on Facebook and Instagram each are now watching videos translated and dubbed by AI. The company is also incorporating the new AI model into parts of its core business, like ads, and particularly into its recommendation system. The goal is to have the AI hyper-personalize feeds for users. “Since our recommendation systems are operating at such large scale, we’ll phase in this new research and technology over time,” Zuckerberg said. “But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers.”

 AI is also taking over internally at Meta. The company is laying off 10% of its workforce and reportedly offering voluntary buyouts to 7% of its U.S. staff, in what seems to follow a purportedly AI-driven trend that has taken Silicon Valley by storm. On the call, executives wouldn’t say if the layoffs had to do with automation of jobs, but Li did say that a “leaner operating model” would help “offset the substantial investments we’re making.”      #Meta #Spend #Billion #Year #DueArtificial intelligence,Mark Zuckerberg,Meta

fastest since 2021.

It’s probably because the company upped its already outrageous spending expectations for the year. Meta said that 2026 capital expenditures would be at least $10 billion more than expected and could top $145 billion. While emphasizing his “confidence in this investment,” CEO Mark Zuckerberg said that most of this increase was due to “higher component costs, particularly memory pricing.”

The AI boom has led to an unprecedented data center buildout that has constrained the global memory chip supply and increased prices for these valuable chips. The result has been a global memory crisis that has impacted not only Meta and the rest of the AI industry but also caused the prices of consumer electronics like laptops and smartphones to soar.

Meta’s $145 billion is a dramatic increase from the $72 billion capital expenditure it recorded just last year, and Zuckerberg is betting it all on an AI turnaround effort.

Meta has been left behind in the AI race as industry rivals like Google have soared past. Roughly 10 months ago, Zuckerberg acknowledged the situation and announced a major catch-up effort that saw him commit billions upon billions of dollars to research and development, and to poach talent from all over the industry, including bringing in Scale AI’s founder Alexandr Wang to lead the new Meta Superintelligence Labs AI division.

Many have been reasonably nervous about this commitment, considering that the company’s latest big bet in emerging tech, the Metaverse, has flopped dramatically. In Wednesday’s earnings report, Meta said that the Reality Labs division, which had helmed the Metaverse efforts, notched an operating loss of more than $4 billion, while only cashing in $402 million in sales. That adds to the whopping $80 billion and more the division has lost in the past six years.

But experts are somewhat more hopeful about the AI bet because, earlier this month, the tech giant debuted the first fruits of that investment with the AI model Muse Spark, a proprietary model that the company plans to open-source in the future. It’s a step in the right direction, but Meta still has to do more before it can confidently say the catch-up effort is successful.

“This was the first release from Meta Superintelligence Labs, and it shows that our work is on track to build a leading lab,” Zuckerberg assured investors in the company’s earnings call. “Now that we have a strong model, we can develop more novel products as well.”

Those novel products will include two agents, one for personal and the other for business uses, according to Zuckerberg.

“We’re already testing an early version of business AIs and weekly conversations have grown 10x since the start of this year,” Zuckerberg said.

One way that AI is clearly showing up to benefit Meta is internally. Meta CFO Susan Li said that over half a billion users weekly on Facebook and Instagram each are now watching videos translated and dubbed by AI. The company is also incorporating the new AI model into parts of its core business, like ads, and particularly into its recommendation system. The goal is to have the AI hyper-personalize feeds for users.

“Since our recommendation systems are operating at such large scale, we’ll phase in this new research and technology over time,” Zuckerberg said. “But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers.”

AI is also taking over internally at Meta. The company is laying off 10% of its workforce and reportedly offering voluntary buyouts to 7% of its U.S. staff, in what seems to follow a purportedly AI-driven trend that has taken Silicon Valley by storm.

On the call, executives wouldn’t say if the layoffs had to do with automation of jobs, but Li did say that a “leaner operating model” would help “offset the substantial investments we’re making.”

#Meta #Spend #Billion #Year #DueArtificial intelligence,Mark Zuckerberg,Meta">Meta Could Spend $145 Billion This Year Due to AIMeta Could Spend $145 Billion This Year Due to AI
                Wednesday was a big day for the tech industry with Meta, Google, Amazon and Microsoft all reporting earnings at the same time in the afternoon. Out of the four, though, Meta was the clear loser with its shares down more than 7% even though revenue increased 33% this past quarter, the company’s fastest since 2021. It’s probably because the company upped its already outrageous spending expectations for the year. Meta said that 2026 capital expenditures would be at least $10 billion more than expected and could top $145 billion. While emphasizing his “confidence in this investment,” CEO Mark Zuckerberg said that most of this increase was due to “higher component costs, particularly memory pricing.”

 The AI boom has led to an unprecedented data center buildout that has constrained the global memory chip supply and increased prices for these valuable chips. The result has been a global memory crisis that has impacted not only Meta and the rest of the AI industry but also caused the prices of consumer electronics like laptops and smartphones to soar. Meta’s $145 billion is a dramatic increase from the $72 billion capital expenditure it recorded just last year, and Zuckerberg is betting it all on an AI turnaround effort.

 Meta has been left behind in the AI race as industry rivals like Google have soared past. Roughly 10 months ago, Zuckerberg acknowledged the situation and announced a major catch-up effort that saw him commit billions upon billions of dollars to research and development, and to poach talent from all over the industry, including bringing in Scale AI’s founder Alexandr Wang to lead the new Meta Superintelligence Labs AI division.

 Many have been reasonably nervous about this commitment, considering that the company’s latest big bet in emerging tech, the Metaverse, has flopped dramatically. In Wednesday’s earnings report, Meta said that the Reality Labs division, which had helmed the Metaverse efforts, notched an operating loss of more than $4 billion, while only cashing in $402 million in sales. That adds to the whopping $80 billion and more the division has lost in the past six years. But experts are somewhat more hopeful about the AI bet because, earlier this month, the tech giant debuted the first fruits of that investment with the AI model Muse Spark, a proprietary model that the company plans to open-source in the future. It’s a step in the right direction, but Meta still has to do more before it can confidently say the catch-up effort is successful.

 “This was the first release from Meta Superintelligence Labs, and it shows that our work is on track to build a leading lab,” Zuckerberg assured investors in the company’s earnings call. “Now that we have a strong model, we can develop more novel products as well.” Those novel products will include two agents, one for personal and the other for business uses, according to Zuckerberg. “We’re already testing an early version of business AIs and weekly conversations have grown 10x since the start of this year,” Zuckerberg said.

 One way that AI is clearly showing up to benefit Meta is internally. Meta CFO Susan Li said that over half a billion users weekly on Facebook and Instagram each are now watching videos translated and dubbed by AI. The company is also incorporating the new AI model into parts of its core business, like ads, and particularly into its recommendation system. The goal is to have the AI hyper-personalize feeds for users. “Since our recommendation systems are operating at such large scale, we’ll phase in this new research and technology over time,” Zuckerberg said. “But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers.”

 AI is also taking over internally at Meta. The company is laying off 10% of its workforce and reportedly offering voluntary buyouts to 7% of its U.S. staff, in what seems to follow a purportedly AI-driven trend that has taken Silicon Valley by storm. On the call, executives wouldn’t say if the layoffs had to do with automation of jobs, but Li did say that a “leaner operating model” would help “offset the substantial investments we’re making.”      #Meta #Spend #Billion #Year #DueArtificial intelligence,Mark Zuckerberg,Meta

Wednesday was a big day for the tech industry with Meta, Google, Amazon and Microsoft all reporting earnings at the same time in the afternoon. Out of the four, though, Meta was the clear loser with its shares down more than 7% even though revenue increased 33% this past quarter, the company’s fastest since 2021.

It’s probably because the company upped its already outrageous spending expectations for the year. Meta said that 2026 capital expenditures would be at least $10 billion more than expected and could top $145 billion. While emphasizing his “confidence in this investment,” CEO Mark Zuckerberg said that most of this increase was due to “higher component costs, particularly memory pricing.”

The AI boom has led to an unprecedented data center buildout that has constrained the global memory chip supply and increased prices for these valuable chips. The result has been a global memory crisis that has impacted not only Meta and the rest of the AI industry but also caused the prices of consumer electronics like laptops and smartphones to soar.

Meta’s $145 billion is a dramatic increase from the $72 billion capital expenditure it recorded just last year, and Zuckerberg is betting it all on an AI turnaround effort.

Meta has been left behind in the AI race as industry rivals like Google have soared past. Roughly 10 months ago, Zuckerberg acknowledged the situation and announced a major catch-up effort that saw him commit billions upon billions of dollars to research and development, and to poach talent from all over the industry, including bringing in Scale AI’s founder Alexandr Wang to lead the new Meta Superintelligence Labs AI division.

Many have been reasonably nervous about this commitment, considering that the company’s latest big bet in emerging tech, the Metaverse, has flopped dramatically. In Wednesday’s earnings report, Meta said that the Reality Labs division, which had helmed the Metaverse efforts, notched an operating loss of more than $4 billion, while only cashing in $402 million in sales. That adds to the whopping $80 billion and more the division has lost in the past six years.

But experts are somewhat more hopeful about the AI bet because, earlier this month, the tech giant debuted the first fruits of that investment with the AI model Muse Spark, a proprietary model that the company plans to open-source in the future. It’s a step in the right direction, but Meta still has to do more before it can confidently say the catch-up effort is successful.

“This was the first release from Meta Superintelligence Labs, and it shows that our work is on track to build a leading lab,” Zuckerberg assured investors in the company’s earnings call. “Now that we have a strong model, we can develop more novel products as well.”

Those novel products will include two agents, one for personal and the other for business uses, according to Zuckerberg.

“We’re already testing an early version of business AIs and weekly conversations have grown 10x since the start of this year,” Zuckerberg said.

One way that AI is clearly showing up to benefit Meta is internally. Meta CFO Susan Li said that over half a billion users weekly on Facebook and Instagram each are now watching videos translated and dubbed by AI. The company is also incorporating the new AI model into parts of its core business, like ads, and particularly into its recommendation system. The goal is to have the AI hyper-personalize feeds for users.

“Since our recommendation systems are operating at such large scale, we’ll phase in this new research and technology over time,” Zuckerberg said. “But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers.”

AI is also taking over internally at Meta. The company is laying off 10% of its workforce and reportedly offering voluntary buyouts to 7% of its U.S. staff, in what seems to follow a purportedly AI-driven trend that has taken Silicon Valley by storm.

On the call, executives wouldn’t say if the layoffs had to do with automation of jobs, but Li did say that a “leaner operating model” would help “offset the substantial investments we’re making.”

#Meta #Spend #Billion #Year #DueArtificial intelligence,Mark Zuckerberg,Meta

Elon Musk returned to the witness stand on Wednesday to continue telling his side of the story in his legal battle against OpenAI and its CEO Sam Altman. Under cross-examination from OpenAI’s lawyers, Musk was pressed on all the ways he tried to squeeze the organization over a 2017 power struggle that he ultimately lost. Around this time, Musk tried to hire away OpenAI researchers and stopped sending it funding he had previously promised, according to emails presented as evidence in the case.

As the cross-examination began, tension rippled through the courtroom. Judge Yvonne Gonzalez Rogers started the day by reprimanding someone in the gallery for taking a picture of Musk. OpenAI president and cofounder Greg Brockman sat behind his lawyers with a yellow legal pad in his lap, giving Musk a cold stare as he testified. Musk grew visibly frustrated on the witness stand, pausing frequently to tell OpenAI’s lawyer, William Savitt, that he saw his questions as misleading. Meanwhile, Savitt’s cross-examination was derailed by objections, technical issues, and Musk continuously claiming he doesn’t recall key details of OpenAI’s history.

Savitt showed the courtroom emails from September 2017 between Musk, Brockman, and researcher Ilya Sutskever discussing the formation of what would become OpenAI’s for-profit arm. In the thread, Musk demanded the right to choose four members of its board of directors, giving him more voting power than his cofounders, who would be left with three in total. “I would unequivocally have initial control of the company, but this will change quickly,” said Musk in one message. Sutskever wrote back rejecting the idea because he said he feared it would give Musk too much power.

Months before these negotiations started, Musk had halted payments to OpenAI, which was particularly difficult for the organization because he was then its main source of funding. Since 2016, Musk had been sending $5 million payments to OpenAI quarterly as part of a broader $1 billion pledge he made at the organization’s launch. But in the spring of 2017, he stopped sending the money. In another email from August 2017, the head of Musk’s family office, Jared Birchall, asked Musk if he should continue withholding it. Musk responded simply, “Yes.”

Around the time Musk lost the power struggle, emails show that he held discussions with executives at Tesla and Neuralink, his brain-computer interface company, about hiring OpenAI employees. At the time, Musk was still a board member of OpenAI.

Musk sent an email to a Tesla vice president in June 2017 about hiring an early OpenAI researcher, Andrej Karpathy. “Just talked to Andrej and he accepted as joining as director of Tesla Vision,” Musk wrote. “Andrej is arguably the #2 guy in the world in computer vision … The openai guys are gonna want to kill me, but it had to be done.”

On the stand, Musk argued that Karpathy was already interested in leaving OpenAI when he tried to recruit him to Tesla. “Andrej had made his decision. If he’s going to leave OpenAI, he might as well work at Tesla,” Musk said.

In October 2017, Musk also wrote to Ben Rapoport, a cofounder of Neuralink. “Hire independently or directly from OpenAI,” said Musk. “I have no problem if you pitch people at OpenAI to work at Neuralink.”

When pressed about this by Savitt, Musk argued that it would have been illegal for him not to allow Tesla and Neuralink to hire from OpenAI. “It’s illegal to restrict employment. It would be illegal to say you can’t employ people from OpenAI. You can’t have some cabal that stops people from working at the company they want to work at,” Musk said.

#Elon #Musk #Squeezed #OpenAI #Gonna #Killmodel behavior,artificial intelligence,elon musk,openai,sam altman,lawsuits">How Elon Musk Squeezed OpenAI: They ‘Are Gonna Want to Kill Me’Elon Musk returned to the witness stand on Wednesday to continue telling his side of the story in his legal battle against OpenAI and its CEO Sam Altman. Under cross-examination from OpenAI’s lawyers, Musk was pressed on all the ways he tried to squeeze the organization over a 2017 power struggle that he ultimately lost. Around this time, Musk tried to hire away OpenAI researchers and stopped sending it funding he had previously promised, according to emails presented as evidence in the case.As the cross-examination began, tension rippled through the courtroom. Judge Yvonne Gonzalez Rogers started the day by reprimanding someone in the gallery for taking a picture of Musk. OpenAI president and cofounder Greg Brockman sat behind his lawyers with a yellow legal pad in his lap, giving Musk a cold stare as he testified. Musk grew visibly frustrated on the witness stand, pausing frequently to tell OpenAI’s lawyer, William Savitt, that he saw his questions as misleading. Meanwhile, Savitt’s cross-examination was derailed by objections, technical issues, and Musk continuously claiming he doesn’t recall key details of OpenAI’s history.Savitt showed the courtroom emails from September 2017 between Musk, Brockman, and researcher Ilya Sutskever discussing the formation of what would become OpenAI’s for-profit arm. In the thread, Musk demanded the right to choose four members of its board of directors, giving him more voting power than his cofounders, who would be left with three in total. “I would unequivocally have initial control of the company, but this will change quickly,” said Musk in one message. Sutskever wrote back rejecting the idea because he said he feared it would give Musk too much power.Months before these negotiations started, Musk had halted payments to OpenAI, which was particularly difficult for the organization because he was then its main source of funding. Since 2016, Musk had been sending  million payments to OpenAI quarterly as part of a broader  billion pledge he made at the organization’s launch. But in the spring of 2017, he stopped sending the money. In another email from August 2017, the head of Musk’s family office, Jared Birchall, asked Musk if he should continue withholding it. Musk responded simply, “Yes.”Around the time Musk lost the power struggle, emails show that he held discussions with executives at Tesla and Neuralink, his brain-computer interface company, about hiring OpenAI employees. At the time, Musk was still a board member of OpenAI.Musk sent an email to a Tesla vice president in June 2017 about hiring an early OpenAI researcher, Andrej Karpathy. “Just talked to Andrej and he accepted as joining as director of Tesla Vision,” Musk wrote. “Andrej is arguably the #2 guy in the world in computer vision … The openai guys are gonna want to kill me, but it had to be done.”On the stand, Musk argued that Karpathy was already interested in leaving OpenAI when he tried to recruit him to Tesla. “Andrej had made his decision. If he’s going to leave OpenAI, he might as well work at Tesla,” Musk said.In October 2017, Musk also wrote to Ben Rapoport, a cofounder of Neuralink. “Hire independently or directly from OpenAI,” said Musk. “I have no problem if you pitch people at OpenAI to work at Neuralink.”When pressed about this by Savitt, Musk argued that it would have been illegal for him not to allow Tesla and Neuralink to hire from OpenAI. “It’s illegal to restrict employment. It would be illegal to say you can’t employ people from OpenAI. You can’t have some cabal that stops people from working at the company they want to work at,” Musk said.#Elon #Musk #Squeezed #OpenAI #Gonna #Killmodel behavior,artificial intelligence,elon musk,openai,sam altman,lawsuits

his side of the story in his legal battle against OpenAI and its CEO Sam Altman. Under cross-examination from OpenAI’s lawyers, Musk was pressed on all the ways he tried to squeeze the organization over a 2017 power struggle that he ultimately lost. Around this time, Musk tried to hire away OpenAI researchers and stopped sending it funding he had previously promised, according to emails presented as evidence in the case.

As the cross-examination began, tension rippled through the courtroom. Judge Yvonne Gonzalez Rogers started the day by reprimanding someone in the gallery for taking a picture of Musk. OpenAI president and cofounder Greg Brockman sat behind his lawyers with a yellow legal pad in his lap, giving Musk a cold stare as he testified. Musk grew visibly frustrated on the witness stand, pausing frequently to tell OpenAI’s lawyer, William Savitt, that he saw his questions as misleading. Meanwhile, Savitt’s cross-examination was derailed by objections, technical issues, and Musk continuously claiming he doesn’t recall key details of OpenAI’s history.

Savitt showed the courtroom emails from September 2017 between Musk, Brockman, and researcher Ilya Sutskever discussing the formation of what would become OpenAI’s for-profit arm. In the thread, Musk demanded the right to choose four members of its board of directors, giving him more voting power than his cofounders, who would be left with three in total. “I would unequivocally have initial control of the company, but this will change quickly,” said Musk in one message. Sutskever wrote back rejecting the idea because he said he feared it would give Musk too much power.

Months before these negotiations started, Musk had halted payments to OpenAI, which was particularly difficult for the organization because he was then its main source of funding. Since 2016, Musk had been sending $5 million payments to OpenAI quarterly as part of a broader $1 billion pledge he made at the organization’s launch. But in the spring of 2017, he stopped sending the money. In another email from August 2017, the head of Musk’s family office, Jared Birchall, asked Musk if he should continue withholding it. Musk responded simply, “Yes.”

Around the time Musk lost the power struggle, emails show that he held discussions with executives at Tesla and Neuralink, his brain-computer interface company, about hiring OpenAI employees. At the time, Musk was still a board member of OpenAI.

Musk sent an email to a Tesla vice president in June 2017 about hiring an early OpenAI researcher, Andrej Karpathy. “Just talked to Andrej and he accepted as joining as director of Tesla Vision,” Musk wrote. “Andrej is arguably the #2 guy in the world in computer vision … The openai guys are gonna want to kill me, but it had to be done.”

On the stand, Musk argued that Karpathy was already interested in leaving OpenAI when he tried to recruit him to Tesla. “Andrej had made his decision. If he’s going to leave OpenAI, he might as well work at Tesla,” Musk said.

In October 2017, Musk also wrote to Ben Rapoport, a cofounder of Neuralink. “Hire independently or directly from OpenAI,” said Musk. “I have no problem if you pitch people at OpenAI to work at Neuralink.”

When pressed about this by Savitt, Musk argued that it would have been illegal for him not to allow Tesla and Neuralink to hire from OpenAI. “It’s illegal to restrict employment. It would be illegal to say you can’t employ people from OpenAI. You can’t have some cabal that stops people from working at the company they want to work at,” Musk said.

#Elon #Musk #Squeezed #OpenAI #Gonna #Killmodel behavior,artificial intelligence,elon musk,openai,sam altman,lawsuits">How Elon Musk Squeezed OpenAI: They ‘Are Gonna Want to Kill Me’

Elon Musk returned to the witness stand on Wednesday to continue telling his side of the story in his legal battle against OpenAI and its CEO Sam Altman. Under cross-examination from OpenAI’s lawyers, Musk was pressed on all the ways he tried to squeeze the organization over a 2017 power struggle that he ultimately lost. Around this time, Musk tried to hire away OpenAI researchers and stopped sending it funding he had previously promised, according to emails presented as evidence in the case.

As the cross-examination began, tension rippled through the courtroom. Judge Yvonne Gonzalez Rogers started the day by reprimanding someone in the gallery for taking a picture of Musk. OpenAI president and cofounder Greg Brockman sat behind his lawyers with a yellow legal pad in his lap, giving Musk a cold stare as he testified. Musk grew visibly frustrated on the witness stand, pausing frequently to tell OpenAI’s lawyer, William Savitt, that he saw his questions as misleading. Meanwhile, Savitt’s cross-examination was derailed by objections, technical issues, and Musk continuously claiming he doesn’t recall key details of OpenAI’s history.

Savitt showed the courtroom emails from September 2017 between Musk, Brockman, and researcher Ilya Sutskever discussing the formation of what would become OpenAI’s for-profit arm. In the thread, Musk demanded the right to choose four members of its board of directors, giving him more voting power than his cofounders, who would be left with three in total. “I would unequivocally have initial control of the company, but this will change quickly,” said Musk in one message. Sutskever wrote back rejecting the idea because he said he feared it would give Musk too much power.

Months before these negotiations started, Musk had halted payments to OpenAI, which was particularly difficult for the organization because he was then its main source of funding. Since 2016, Musk had been sending $5 million payments to OpenAI quarterly as part of a broader $1 billion pledge he made at the organization’s launch. But in the spring of 2017, he stopped sending the money. In another email from August 2017, the head of Musk’s family office, Jared Birchall, asked Musk if he should continue withholding it. Musk responded simply, “Yes.”

Around the time Musk lost the power struggle, emails show that he held discussions with executives at Tesla and Neuralink, his brain-computer interface company, about hiring OpenAI employees. At the time, Musk was still a board member of OpenAI.

Musk sent an email to a Tesla vice president in June 2017 about hiring an early OpenAI researcher, Andrej Karpathy. “Just talked to Andrej and he accepted as joining as director of Tesla Vision,” Musk wrote. “Andrej is arguably the #2 guy in the world in computer vision … The openai guys are gonna want to kill me, but it had to be done.”

On the stand, Musk argued that Karpathy was already interested in leaving OpenAI when he tried to recruit him to Tesla. “Andrej had made his decision. If he’s going to leave OpenAI, he might as well work at Tesla,” Musk said.

In October 2017, Musk also wrote to Ben Rapoport, a cofounder of Neuralink. “Hire independently or directly from OpenAI,” said Musk. “I have no problem if you pitch people at OpenAI to work at Neuralink.”

When pressed about this by Savitt, Musk argued that it would have been illegal for him not to allow Tesla and Neuralink to hire from OpenAI. “It’s illegal to restrict employment. It would be illegal to say you can’t employ people from OpenAI. You can’t have some cabal that stops people from working at the company they want to work at,” Musk said.

#Elon #Musk #Squeezed #OpenAI #Gonna #Killmodel behavior,artificial intelligence,elon musk,openai,sam altman,lawsuits

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