Dwarkesh Podcast

Snapshot · Dwarkesh Podcast

The data black hole at the center of AI

Explore episode Jun 19, 2026

Where this was said

Does sample efficiency matter?

At 9:42 · chapter starts 8:46

Dwarkesh argues inefficiency doesn't block white-collar automation because AI's training costs amortize across billions of sessions. He bets on more human software engineers in 2027, and previews a future post on the intelligence explosion.

Technology
The Intelligence Explosion Is Misunderstood

The data black hole at the center of AI · Jun 19, 2026 Technology

Current discourse on intelligence explosions is stuck between two bad takes: it's impossible, or a god emerges at the end. Neither is right. The real question is what a period of faster-than-usual AI progress looks like when it's built atop the particular kind of intelligence LLMs represent.

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