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Epstein Files Reveal Peter Thiel’s Elaborate Dietary Restrictions

Epstein Files Reveal Peter Thiel’s Elaborate Dietary Restrictions

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Peter Thiel—the billionaire venture capitalist, PayPal, and Palantir cofounder, and outspoken commentator on all matters relating to the “Antichrist”—appears at least 2,200 times in the latest batch of files released by the Department of Justice related to convicted sex offender and disgraced financier Jeffrey Epstein.

The tranche of records demonstrate how Epstein managed to cultivate an extensive network of wealthy and influential figures in Silicon Valley. A number of them, including Thiel, continued to interact with Epstein even after his 2008 guilty plea for solicitation of prostitution and of procurement of minors to engage in prostitution.

The new files show that Thiel arranged to meet with Epstein several times between 2014 and 2017. “What are you up to on Friday?” Thiel wrote to Epstein on April 5, 2016. “Should we try for lunch?” The bulk of the communications between the two men in the data dump concern scheduling meals, calls, and meetings with one another. Thiel did not immediately return a request for comment from WIRED.

One piece of correspondence stands out for being particularly bizarre. On February 3, 2016, Thiel’s former chief of staff and senior executive assistant, Alisa Bekins, sent an email with the subject line “Meeting – Feb 4 – 9:30 AM – Peter Thiel dietary restrictions – CONFIDENTIAL.” The initial recipient of the email is redacted, but it was later forwarded directly to Epstein.

The contents of the message are also redacted in at least one version of the email chain uploaded by the Justice Department on Friday. However, two other files from what appears to be the same set of messages have less information redacted.

In one email, Bekins listed some two dozen approved kinds of sushi and animal protein, 14 approved vegetables, and 0 approved fruits for Thiel to eat. “Fresh herbs” and olive oil were permitted; however, ketchup, mayonnaise, and soy sauce should be avoided. Only one actual meal was explicitly outlined: “egg whites or greens/salad with some form of protein,” such as steak, which Bekins included “in the event they eat breakfast.” It’s unclear if the February 4 meeting ultimately occurred; other emails indicate Thiel got stuck in traffic on his way to meet Epstein that day.

According to a recording of an undated conversation between Epstein and former Israeli prime minister Ehud Barak that was also part of the files the DOJ released on Friday, Epstein told Barak that he was hoping to meet Thiel the following week. He added that he was familiar with Thiel’s company Palantir, but proceeded to spell it out loud for Barak as “Pallentier.” Epstein speculated that Thiel might put Barak on the board of Palantir, though there’s no evidence that ever occurred.

“I’ve never met Peter Thiel, and everybody says he sort of jumps around and acts really strange, like he’s on drugs,” Epstein said at one point in the audio recording, referring to Thiel. The former prime minister expressed agreement with Epstein’s assessment.

In 2015 and 2016, Epstein put $40 million in two funds managed by one of Thiel’s investment firms, Valar Ventures, according to The New York Times. Epstein and Thiel continued to communicate and were discussing meeting with one another as recently as January 2019, according to the files released by the DOJ. Epstein committed suicide in his prison cell in August of that year.

Below are Thiel’s dietary restrictions as outlined in the February 2016 email. (The following list has been reformatted slightly for clarity.)

APPROVED SUSHI + APPROVED PROTEIN

  • Kaki Oysters
  • Bass
  • Nigiri
  • Beef
  • Octopus
  • Catfish
  • Sashimi
  • Chicken
  • Scallops
  • Eggs
  • Sea Urchin
  • Lamb
  • Seabass
  • Perch
  • Spicy Tuna w Avocado
  • Squid
  • Turkey
  • Sweet Shrimps
  • Whitefish
  • Tobiko
  • Tuna
  • Yellowtail
  • Trout

APPROVED VEGETABLES

  • Artichoke
  • Avocado
  • Beets
  • Broccoli
  • Brussels sprouts
  • Cabbage
  • Carrots
  • Cucumber
  • Garlic
  • Olives
  • Onions
  • Peppers
  • Salad greens
  • Spinach

APPROVED NUTS

  • Anything unsalted and unroasted
  • Peanuts
  • Pecans
  • Pistachios

CONDIMENTS

  • Most fresh herbs, and olive oil

AVOID

  • Dairy
  • Fruits
  • Gluten
  • Grains
  • Ketchup
  • Mayo
  • Mushroom
  • Processed foods
  • Soy Sauce
  • Sugar
  • Tomato
  • Vinegar

MEAL SUGGESTIONS

  • Breakfast egg whites or greens/salad with some form of protein (steak etc)

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Amanz/Unsplash

What drives players to trust digital marketplaces over the tried and tested big-name stores? Savings are a major factor: prices for both hardware and digital game keys can dip well below official retailer listings. Flash sales or limited-time discounts mean buyers can seize deals at odd hours, no camping out, no extra fees for international shipping.

But it’s not just the cost that wins people over. Instant access is non-negotiable for gamers who want a new release the second it drops, or need to replace a mic in time for tonight’s match. Digital codes and direct-to-home shipping let buyers skip wait times entirely. On top of that, curated stock and real-time availability mean less hunting around, which saves effort. Every moment not spent scrolling is one more minute playing.

Security and Transparency Keep Gamers Loyal

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#Savvy #Gamers #Embracing #Digital #Marketplaces #Gear #GamesAndroid Gaming,console gaming,desktop gaming">Why Savvy Gamers Are Embracing Digital Marketplaces for Gear and Games

Waiting in line for a midnight game release or scrambling to find a sold-out gaming headset at your favorite electronics store feels far less appealing in a world where instant digital access is just a click away. Today’s gamers are done chasing physical stock and juggling dozens of store accounts. Instead, they’re seeking out a more streamlined, cost-effective way to buy gear and titles, often without ever leaving their chair.

Digital marketplaces have exploded in popularity among gaming enthusiasts aiming to make every dollar and minute count. For those new to this shift, sites like Eneba.com have made a strong mark by combining everything from rare peripherals to discounted digital game codes in one convenient space. With fierce competition driving prices lower and generous selection on offer, these platforms now rival traditional game shops, yet offer far more flexibility, whether it’s a late-night shopping urge or a flash sale on the latest blockbuster.

While there are plenty of options to buy digital games online, many in-the-know buyers gravitate toward platforms like Eneba for several reasons. Eneba stands out by offering instant access to game keys, which allow players to redeem titles directly on platforms such as PlayStation, with no disc or shipping required. This gives buyers more choice and frequently better prices than traditional platform stores, while an enormous catalog and up-front global or region-locked information make for transparent shopping. Plus, with verified sellers and robust marketplace controls, the risk of counterfeits drops markedly. Beyond game keys, Eneba also features gift cards for services like Xbox, PSN, and Steam, meaning players can top up accounts and snag games or content of their choice, skipping the hunt for specific game keys.

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Amanz/Unsplash

What drives players to trust digital marketplaces over the tried and tested big-name stores? Savings are a major factor: prices for both hardware and digital game keys can dip well below official retailer listings. Flash sales or limited-time discounts mean buyers can seize deals at odd hours, no camping out, no extra fees for international shipping.

But it’s not just the cost that wins people over. Instant access is non-negotiable for gamers who want a new release the second it drops, or need to replace a mic in time for tonight’s match. Digital codes and direct-to-home shipping let buyers skip wait times entirely. On top of that, curated stock and real-time availability mean less hunting around, which saves effort. Every moment not spent scrolling is one more minute playing.

Security and Transparency Keep Gamers Loyal

A son and dad gaming

Skepticism around digital goods is only natural when you’re entering codes worth fifty or even a hundred dollars. Digital marketplaces have worked hard to build trust by publishing clear security guarantees, requiring third-party merchant verification, and setting strict standards for compliance and sourcing. Buyers know that when issues arise, support teams are ready to step in, a far cry from faceless classified ads or auction sites.

Transparency is a dealbreaker for many. Region-locked codes? Out-of-stock hardware? Sites that label everything clearly and show purchase history on demand find it easier to retain picky shoppers. Gamers remember who wasted their time and who made the experience simple.

Flexibility for Modern Gaming Lifestyles

Physical games and hardware still have a place, but the digital approach caters to how gamers actually live and play. Swapping consoles with friends, jumping from PC to mobile, and redeeming codes while traveling all become easier with digital ownership. The global reach of digital marketplaces makes it possible to find rare or region-specific gear and content not available locally.

With the cycle of new releases and old favorites never ending, staying ahead of the next hot thing is less stressful when your shopping list can be satisfied in one place. Digital marketplaces like Eneba, offering deals on all things digital, continue to reshape how players discover, buy, and enjoy what they love most.

#Savvy #Gamers #Embracing #Digital #Marketplaces #Gear #GamesAndroid Gaming,console gaming,desktop gaming

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

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