John Clark Levin joins MTS to discuss AGI timelines and Ray Kurzweil's 2029 prediction, AI benchmarking and the need for better assessments of long time horizon tasks, and the role of chain of thought in enabling mathematical breakthroughs.

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Timestamps:

(00:00) Introduction

(01:20) What Kurzweil Technologies Does

(02:37) The Gaps in Benchmarks

(05:28) Predicting AI Decades Early

(09:09) AI Breakthroughs in Mathematics

(16:07) AI Safety and Risks

(20:44) Essential Unprioritized AI Fields

(24:02) Is 2029 AGI On Track?

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Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear.

The Math Behind AGI: Ray Kurzweil’s Timeline & AI Safety Risks | John Clark Levin

MTS

The Math Behind AGI: Ray Kurzweil’s Timeline & AI Safety Risks | John Clark Levin