All-In with Chamath, Jason, Sacks & Friedberg

Podbit · All-In with Chamath, Jason, Sacks & Friedberg

Open Source Wins, AGI Is Here, and Scorsese's AI Toolkit with CEOs of Cerebras & Black Forest Labs

Explore episode Jul 10, 2026
Education
Adaptive AI Tutors: We've Known How to Teach Better for 2,000 Years

Open Source Wins, AGI Is Here, and Scorsese's AI Toolkit wi… · Jul 10, 2026 Education

Aristotle tutored Alexander the Great one-on-one. We've known for millennia that personalized adaptive teaching produces better outcomes. We chose factory-model classrooms anyway. AI agents that adapt to each child's learning style aren't a new idea — they're a 2,000-year-old idea we can finally afford to execute.

Where this was said

Open Source, AI Sovereignty, and the Road to AGI

At 39:15 · chapter starts 16:28

Feldman takes the conversation into longer time horizons. The fundamental constraint on human knowledge is that paradigms shift at the speed of generations: Thomas Kuhn showed us that Freud, Skinner, and their disciples maintained intellectual dominance not because their ideas were right, but because they held positions of leadership until they died. New ideas have to wait for the old guard to exit. AI breaks this constraint. Feldman reaches for the geneticist's tool: fruit flies produce two generations per day, allowing researchers to observe thousands of generations of evolution in a single career. AI is now doing the equivalent for knowledge — compressing what previously took centuries of human intellectual turnover into near-instantaneous iterative cycles. He closes with the Palace of Versailles as metaphor: the builders who worked on century-long projects across multiple family generations were doing recursive, compounding learning. AI is that, but at the speed of compute.

Technology
AI Found Bugs at Palo Alto Networks in Hours — and Stopped Them for Six Weeks

Open Source Wins, AGI Is Here, and Scorsese's AI Toolkit wi… · Jul 10, 2026 Technology

Nikesh Arora of Palo Alto Networks told Jason Calacanis that testing a frontier AI model against their own systems was devastating — it found critical bugs in hours that their own team had missed. They halted everything for six weeks of emergency patching. That's the case for government red teaming in a single anecdote.

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