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Hard Fork · August 28, 2026 · 01:02:56

Meta Shifts the Blame + Do Data Center Bans Work? + The Final HatGPT

Meta agrees to pay up to $17.1 billion and overhaul its platforms over claims of child addiction, prompting discussion about the company’s strategy and what the settlement means for the social media industry. Then, Princeton professor Arvind Narayanan returns to argue that banning data centers is an ineffective tactic for slowing AI progress. To wrap, the show bids farewell to its HatGPT segment with a roundup of oddball tech headlines, from Rockstar’s emotional response to GTA 6 leaks to a Chinese sprinting robot and the phenomenon of 'meat proxies' in the workplace.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Preview

Meta's $17.1 Billion Settlement Over Child Addiction Claims
Meta agreed to pay up to $17.1 billion and make major changes to Facebook and Instagram to settle lawsuits alleging the platforms endangered children with addictive designs.
Why Banning Data Centers Won’t Slow AI Progress
Princeton professor Arvind Narayanan explains that blocking data center construction is a misguided approach to slowing AI development because compute efficiency and algorithmic breakthroughs matter more.

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