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10 fastest-growing fetishes of 2025 so far

10 fastest-growing fetishes of 2025 so far

Tech-news

Censorship of porn is increasing in the U.S. and elsewhere. Last month, the Supreme Court ruled that Texas’s age-verification law was constitutional, for example. Age-verification laws typically require proof of age, like a government ID or facial recognition scan, to enter websites with explicit content. While free speech advocates told Mashable they won’t work, as these checks can be circumvented with VPNs, they persist.

Free speech and adult industry advocates also say that such laws will chill the free speech of adults who want to watch this content. Censorship doesn’t quell desires or sexual preferences, but it might make people fear being open about them.

SEE ALSO:

How to unblock Pornhub for free

“Online fetish content is a key way for people to enjoy fantasies they may not feel they have access to in their personal lives,” said Avery Martin, spokesperson for adult clip site Clips4Sale, which just released the top 10 fetishes growing in 2025 so far.

Map of fastest-growing fetishes on Clips4Sale in 2025.
Credit: Clips4Sale

These are the fetishes increasing in popularity according to year-over-year data:

Mashable Trend Report

  1. Pegging (+46.4 percent)

  2. Farting (+38 percent)

  3. Sex fights (+36 percent)

  4. Femdom (+33.5 percent)

  5. Cuckolding (+26.1 percent)

  6. Chastity (+24.5 percent)

  7. Ballbusting (+22.5 percent)

  8. Pantyhose (+15.2 percent)

  9. Belly buttons (+14.9 percent)

  10. Foot worship (+14.4 percent)

“We publish this data because we want more people to understand that there’s a whole world like them,” Martin continued.

Clips4Sale named chastity as its 2025 Fetish of the Year, corresponding with the current political climate. Meanwhile, the top one pegging, or anal penetration with a strap-on, was the site’s 2023 Fetish of the Year. “No matter what they profess in public, men love being dominated by women in bed,” Martin said in its press release. “Unfortunately, because of the cultural taboos surrounding sexual submission, men can have a hard time discussing these desires with their partners.”

Pegging is fastest-growing in the U.S. and the UK; the UK’s own age-verification law will soon be in effect. But there are many more on this list as well, including cuckolding, or watching one’s partner engage in sexual acts with someone else. This also plays into societal taboos — but what fetish doesn’t, really?

During a time when legislatures want to squash sexual expression, discussing fetishes can be seen as radical. But as Clips4Sale’s map shows, people worldwide are discovering new pleasures regardless.

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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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Ultimate Microsoft Office Professional 2021 for Windows Lifetime License and Windows 11 Pro Bundle, on sale now for just $34.97 (reg. $418.99) through May 31.

$34.97
$418.99 Save $384.02

 

If you don’t have hundreds of dollars lying around for a brand new laptop, don’t worry. The Ultimate Microsoft Office Professional 2021 for Windows Lifetime License and Windows 11 Pro Bundle gives you the next best thing — fresh tools and an updated operating system to make your old PC feel shiny and new (to you).

The even better news is that you can get it all for just $34.97 (reg. $418.99) through May 31.

Mashable Deals

By signing up, you agree to receive recurring automated SMS marketing messages from Mashable Deals at the number provided. Msg and data rates may apply. Up to 2 messages/day. Reply STOP to opt out, HELP for help. Consent is not a condition of purchase. See our Privacy Policy and Terms of Use.

You’d be surprised what some fresh Microsoft tools and a new OS can do for your tried-and-true PC. This bundle can really spruce up an old device, starting with a mix of classic and new favorites in this Microsoft Office suite.

Microsoft Office Professional 2021 equips your computer with a suite of eight helpful apps. Get old staples you’ve used for decades, like Word, Excel, PowerPoint, and Outlook. Then see how new favorites like Teams, OneNote, Access, and Publisher can upgrade your workflow.

You don’t only get new tools to work with — you get a whole new operating system thanks to Windows 11 Pro. This bundle includes an OS designed with modern professionals in mind, featuring a powerful search experience, improved voice typing, snap layouts, and more.

If you haven’t been prioritizing your cybersecurity, you can rest easy knowing Windows 11 Pro amps things up. It offers biometric logins, encrypted authentication, and advanced antivirus defenses that can help keep your important data safe.

Take advantage of this deal on an Ultimate Microsoft Office Professional 2021 for Windows Lifetime License and Windows 11 Pro Bundle, on sale now for only $34.97 until May 31.

StackSocial prices subject to change.

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TL;DR: Give your PC a total refresh with the Ultimate Microsoft Office Professional 2021 for Windows Lifetime License and Windows 11 Pro Bundle, on sale now for just $34.97 (reg. $418.99) through May 31.

$34.97
$418.99 Save $384.02

 

If you don’t have hundreds of dollars lying around for a brand new laptop, don’t worry. The Ultimate Microsoft Office Professional 2021 for Windows Lifetime License and Windows 11 Pro Bundle gives you the next best thing — fresh tools and an updated operating system to make your old PC feel shiny and new (to you).

The even better news is that you can get it all for just $34.97 (reg. $418.99) through May 31.

Mashable Deals

By signing up, you agree to receive recurring automated SMS marketing messages from Mashable Deals at the number provided. Msg and data rates may apply. Up to 2 messages/day. Reply STOP to opt out, HELP for help. Consent is not a condition of purchase. See our Privacy Policy and Terms of Use.

You’d be surprised what some fresh Microsoft tools and a new OS can do for your tried-and-true PC. This bundle can really spruce up an old device, starting with a mix of classic and new favorites in this Microsoft Office suite.

Microsoft Office Professional 2021 equips your computer with a suite of eight helpful apps. Get old staples you’ve used for decades, like Word, Excel, PowerPoint, and Outlook. Then see how new favorites like Teams, OneNote, Access, and Publisher can upgrade your workflow.

You don’t only get new tools to work with — you get a whole new operating system thanks to Windows 11 Pro. This bundle includes an OS designed with modern professionals in mind, featuring a powerful search experience, improved voice typing, snap layouts, and more.

If you haven’t been prioritizing your cybersecurity, you can rest easy knowing Windows 11 Pro amps things up. It offers biometric logins, encrypted authentication, and advanced antivirus defenses that can help keep your important data safe.

Take advantage of this deal on an Ultimate Microsoft Office Professional 2021 for Windows Lifetime License and Windows 11 Pro Bundle, on sale now for only $34.97 until May 31.

StackSocial prices subject to change.

#Modernize #Microsoft #bundle

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