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Podcast: Regulating social media

Podcast: Regulating social media

There are dozens of bills in Congress that would regulate social media in some way, but this week’s Civic Genius podcast guest has another idea to throw into the mix. Paul Barrett is Deputy Director of the Center for Business and Human Rights at New York University, and his new report recommends that the Federal Trade Commission (FTC) regulate social media companies.

Could this proposal cut back online misinformation without running afoul of the First Amendment? Listen in to hear Barrett explain why he thinks so.


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Shahadat Rahman on Unsplash

When Rules Can Be Code, They Should Be!

Ninety years ago this month, the Federal Register Act was signed into law in a bid to shine a light on the rules driving President Franklin Roosevelt’s New Deal—using the best tools of the time to make government more transparent and accountable. But what began as a bold step toward clarity has since collapsed under its own weight: over 100,000 pages, a million rules, and a public lost in a regulatory haystack. Today, the Trump administration’s sweeping push to cut red tape—including using AI to hunt obsolete rules—raises a deeper challenge: how do we prevent bureaucracy from rebuilding itself?

What’s needed is a new approach: rewriting the rule book itself as machine-executable code that can be analyzed, implemented, or streamlined at scale. Businesses could simply download and execute the latest regulations on their systems, with no need for costly legal analysis and compliance work. Individuals could use apps or online tools to quickly figure out how rules affect them.

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This morning’s announcement that Nvidia and AMD will resume selling AI chips to China on the condition that they surrender 15% of their revenue from those sales to the U.S. government marks a jarring inflection point in American industrial policy.

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Generative AI Can Save Lives: Two Diverging Paths In Medicine

Generative AI is advancing at breakneck speed. Already, it’s outperforming doctors on national medical exams and in making difficult diagnoses. Microsoft recently reported that its latest AI system correctly diagnosed complex medical cases 85.5% of the time, compared to just 20% for physicians. OpenAI’s newly released GPT-5 model goes further still, delivering its most accurate and responsive performance yet on health-related queries.

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