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Wanna slow down AI? These biologists can help.

October 14, 2026

AI Summary

5 min read

In 1974, a 21-year-old PhD student named Janet Mertz was on the verge of a breakthrough. Working at Stanford, she was trying to clone a cancer-causing virus into E. coli—a routine experiment by the standards of the new field of recombinant DNA. But when she described her project at a summer course, her instructor, a scientist named Bob Pollock, panicked. His logic was blunt: people shed E. coli constantly. If Mertz’s lab-made bacteria escaped and colonized someone’s gut, she could, in theory, give the world cancer. Pollock called her boss, Paul Berg, and after Berg polled other top researchers, he agreed the risk—however small—was unacceptable. He shut Mertz’s experiment down.

That single decision set off a chain reaction that would become a landmark in the history of science—and a potential playbook for today’s AI race. The technology Mertz was working on spread fast. Soon, any bright high school student could splice DNA. The possibilities were thrilling (mass-produced insulin, crops that fix nitrogen) and terrifying (superbugs, bioweapons, designer babies). The scientists racing to make discoveries knew they faced a collective action problem: individually, the rational move was to keep going full speed toward Nobel Prizes and tenured positions. But collectively, if everyone slowed down and agreed on safety rules, the world would be safer. The problem was getting everyone

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What you'll learn

  • 1 (00:25) **The AI Collective Action Problem** - The hosts introduce the central paradox: AI leaders publicly call for safety regulations while privately racing ahead, framing it as a classic collective action problem.
  • 2 (04:26) **Janet Mertz and the Birth of Recombinant DNA** - The story begins with a young biochemist whose ambitious experiment sparked the first major scientific self-regulation movement.
  • 3 (07:48) **The Whistleblower's Freakout** - Bob Pollock's alarm leads to a direct confrontation with Janet's boss, Paul Berg, and the first major pause in the research.
  • 4 (10:10) **The Rapid Spread and the Collective Problem** - Even with Janet's experiment halted, the technology spread, creating a dangerous collective action problem for all scientists.
  • 5 (12:09) **The Moratorium and the Asilomar Conference** - Paul Berg and other top scientists attempt self-governance by calling a worldwide research moratorium and organizing a historic meeting.
  • 6 (14:08) **The Battle at Asilomar: Safety vs. Freedom** - The conference quickly became a fight between those wanting strict rules and those, like James Watson, who wanted no restrictions at all.
  • 7 (17:33) **The Lawyers' Intervention** - On the final evening, lawyers were brought in to scare the scientists into action by highlighting personal legal liability.

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Show Notes

Fifty years ago, scientists pioneering a terrifying gene-splicing technology figured out a way to collectively hit pause. Can we do it again with AI? 

We ask because some top AI industry leaders are saying the technology they’re pushing forward is moving too quickly … and might kill us all. They’re effectively saying, ‘Please, please regulate us! Slow us down! Tie our hands!’ 

But, by and large, they’re not slowing down, because they don’t want to be left behind. In other words, it’s a classic collective action problem. A type of problem that’s scary, but solvable. We’ve been here before. 

In 1975, a group of scientists holed up for four days on California's foggy Central Coast to stop the runaway technology of their generation: a new DNA splicing technology that they feared could cause mass death. On today’s show, how they set aside ambition and competition to stop a runaway technology. 

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This episode was produced by Vito Emanuel. It was edited by Marianne McCune
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