Dwarkesh Patel has built one of tech's most respected podcasts by doing unparalleled research and asking tough questions. In our recent conversation, he brought that same intellectual rigor to examining AI's current limitations.

We covered why AI experts consistently overestimate current capabilities, the critical bottleneck of continual learning in today's models, and what it would take to build truly useful models. Dwarkesh also shared his approach to spaced repetition and empirical thinking—tools that have helped him extract insights from hundreds of world-class guests.

This conversation offers a grounded perspective on AI's present reality, and some tactical skills that will compound learning over time. Whether you're building AI products or just trying to think more clearly, Dwarkesh's insights are worth your attention.

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You can find Auren Hoffman on X at @auren and Dwarkesh Patel on X at @Dwarkesh_SP

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