The Meta Platforms Inc. pavilion ahead of the World Economic Forum (WEF) in Davos, Switzerland, on Jan. 19, 2025.
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AI

Meta’s months-old AI unit is a soul-crushing gulag, say the engineers stuck inside it

Anyone who works at Meta or knows anyone who works at Meta will tell you the same thing: It is not a happy place, particularly given the seemingly endless layoffs the company has executed over the last few years — cuts that have only accelerated as the company funnels billions into AI.

Now, a new report in Wired suggests the company’s Applied AI team is on the verge of revolt.

The drama kicked off when someone hijacked a livestreamed, employee-only presentation this week with an expletive-laden meltdown, demanding that attendees tell a senior Meta AI executive that he was “a piece of sh*t.” One presenter reportedly covered their face with their hands.

That outburst, Wired reports, reflects simmering rage inside the three-month-old unit of roughly 6,500 engineers and product managers who have been tasked with supporting the company’s AI research ambitions.

A report last month in Business Insider shed light on how many employees originally learned they’d be moved into the group — through a surprise email, a process that one self-described draftee described later on Reddit as “quite random.” According to an internal announcement reviewed by BI, the reason they were enlisted is that Meta’s AI models still lacked the knowledge to outperform humans at technical tasks like coding. “For agents to understand how people actually complete everyday tasks using computers, we need to train our models on real examples,” the announcement read.

In a leaked audio recording from an internal meeting that month, CEO Mark Zuckerberg offered his reasoning for drafting employees rather than outside contractors. Alexandr Wang — who sold his data-labeling startup Scale AI to Meta for $14.3 billion before taking the role of chief AI officer and heading up Meta Superintelligence Labs — knows the data-labeling world well, Zuckerberg said. And candidly, the average Meta employee has “significantly higher” intelligence than third-party contractors, he added, making them the better choice.

Employees describe being forced into the group with no real choice: join or quit. Many call themselves “draftees.” Their assigned work? Generating puzzles and coding problems to train AI models. “It’s literally the gulag,” one employee told Wired. “Most people find the work soul-crushing,” said another.

It’s not just the Applied AI group where morale is lousy. More than 1,600 Meta employees company-wide have reportedly signed a petition protesting a program that monitors their clicks and keystrokes for AI training data. The mood across the company is dark enough that Meta’s chief product officer, Chris Cox, felt compelled to address the “brutal” environment on a call with employees this week, said Wired.

TechCrunch has reached out to Meta for comment.

According to earlier reports, the Applied AI team is led by Maher Saba, a 12-year veteran of Meta who was previously a vice president in its Reality Labs division, the division that burned through $83 billion on the metaverse before Meta moved on to AI. The new organization reports up to Meta CTO Andrew Bosworth.

Originally, the unit was structured in such a way that up to 50 employees reported to one manager.

Zuckerberg, for his part, reportedly addressed the broader situation in an internal memo Friday, acknowledging that recent changes had “caused distress” and admitting the company had made mistakes that it plans to address. According to Wired, he added in his memo that “Meta’s north star is to be the best place for the most talented people in the world to make an impact.”

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finger pointing to Facebook mobile app displayed on a smartphone screen
Image Credits:Jonathan Raa/NurPhoto / Getty Images
Apps

Social media’s next evolution: user-controlled algorithms

For years, social media giants controlled what users saw in their feeds. While people could follow accounts, like posts or hide content they didn’t enjoy, recommendation algorithms controlled what was shown to them.

Now, social platforms are handing over some of their power by allowing users to personalize their algorithms with the help of AI.

Beyond traditional “Not Interested” buttons, apps like Threads, Instagram, and TikTok have begun introducing tools that let people train their own algorithms and influence what appears in their feeds.

The shift reflects an evolution in how recommendation systems work. Social media feeds are moving away from a one-size-fits-all TV channel and toward something more like a streaming service, where users can tune recommendations to their interests and have more control over what they see. 

For users, the advantage of customizable algorithms is a feed tailored to their interests. For social media giants, it’s a way to boost engagement by displaying content that people are most likely to consume.

Here’s a look at how social media platforms are giving users more control over their recommendation algorithms.

Threads

Image Credits:Meta

On June 16, 2026, Threads launched a new “Your Algo” feature that builds on the platform’s “Dear Algo” tool, which debuted in February. The “Dear Algo” tool lets users influence their feed by publishing a public post, such as “Dear Algo, show me more posts about podcasts,” to indicate the types of content they want to see more or less of in their feed. With the new “Your Algo” feature, users can make those preferences privately, without having to post publicly. 

Users can tell Threads they want to see more or less of certain topics and choose how long the request lasts: one, three, or seven days. For example, you could ask to see more baseball content and less stressful news. 

Instagram

Image Credits:Instagram

In early June, Instagram launched a new tool that lets you see and control your algorithm across your feed. The tool, called “Your Algorithm,” lets you view the topics that shape your recommendations and customize them to better fit your interests. The tool launched for the reels feed in December 2025, but is now available across the feed, explore, and reels. 

Once you access the tool in your settings, you see the topics Instagram thinks you care about the most. You can then tell the app what you’re interested in and what you want to see more or less of, and your recommendations will adapt accordingly. 

Instagram head Adam Mosseri has said that social media ranking models have historically been built with technology that wasn’t transparent to users, but now large language models (LLMs) can make recommendation systems more understandable by showing why content is displayed and letting users explicitly communicate their preferences.

TikTok

TikTok's new 'Manage Topics' tool
Image Credits:TikTok

TikTok features a “Manage Topics” tool that gives you more control over what you see in your “For You” feed. Launched in 2024, you can access the feature in your settings to customize your preferences for different topics, such as sports, travel, humor, current affairs, dance, and food. You can do so by moving the slider to adjust how much you do or don’t want to see that sort of content in your For You feed. 

If you are uncertain about which type of videos fall under a category, you can click the “information” button next to a topic. For instance, TikTok says the “Creative arts” topic includes “painting, drawing, graphic design, and art-related tutorials.”

In 2025, TikTok expanded its Manage Topics tool by introducing AI-powered Smart Keyword Filters, which automatically limit content containing related keywords, such as synonyms. For example, if you use the Manage Topics tool to filter out “remodeling,” TikTok will also filter out “renovation” and “renovations.”

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