Meta Shifts the Blame + Do Data Center Bans Work? + The Final HatGPT
This week, Meta agreed to pay up to $17.1 billion and make major changes to Facebook and Instagram over claims it endangered children with addictive social media platforms. We discuss why it capitulated and what it means for the entire social media industry. Then, Princeton computer science professor Arvind Narayanan returns to offer his thoughts on why banning data centers won’t slow down A.I. progress. And finally, it’s all hats on deck for the final HatGPT.
Meta will pay up to $17.1 billion and implement significant changes to Facebook and Instagram due to claims of endangering children with addictive platforms. The article discusses Meta’s capitulation and its implications for the social media industry. Princeton computer science professor Arvind Narayanan also shares his perspective on why banning data centers will not impede AI advancement.
- Meta agreed to pay up to $17.1 billion and make major changes to Facebook and Instagram.
- The settlement addresses claims that Meta endangered children with addictive social media platforms.
- The article discusses the reasons for Meta’s capitulation and its impact on the social media industry.
- Princeton professor Arvind Narayanan explains why banning data centers will not slow AI progress.
- The episode also features the final HatGPT segment.
Continue reading https://www.nytimes.com/2026/08/28/podcasts/hardfork-meta-settlement.html
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