Sparks fly in the finale of my series with ex-MIRI researcher Tsvi Benson-Tilsen as we debate his AGI timelines.Tsvi is a champion of using germline engineering to create smarter humans who can solve AI alignment.

I support the approach, even though I’m skeptical it’ll gain much traction before AGI arrives.

Timestamps

0:00 Debate Preview0:57 Tsvi’s AGI Timeline Prediction 3:03 The Least Impressive Task AI Cannot Do In 2 years6:13 Proposed Task: Solve Cantor’s Theorem From Scratch 8:20 AI Has Limitations Related to Sample Complexity 11:41 We Need Clear Goalposts for Better AGI Predictions 13:19 Counterargument: LLMs May Not Be a Path to AGI16:01 Is Tsvi Setting a High Bar for Progress Towards AGI? 19:17 AI Models Are Missing A Spark of Creativity28:17 Liron’s “Black Box” AGI Test 32:09 Are We Going to Enter an AI Winter? 35:09 Who Is Being Overconfident? 42:11 If AI Makes Progress on Benchmarks, Would Tsvi Shorten His Timeline? 50:34 Recap & Tsvi’s Research

Show Notes

Learn more about Tsvi’s organization, the Berkeley Genomics Project — https://berkeleygenomics.org

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