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Transcript: ‘The AI Model Built for What LLMs Can't Do’

Transcript: ‘The AI Model Built for What LLMs Can't Do’

By Dan Shipper AI & I

Dan Shipper is the CEO and cofounder of Every. Every week he explores the frontiers of AI in his column, Chain of Thought, and on his podcast, ‘AI & I.’

Transcript: ‘The AI Model Built for What LLMs Can't Do’

‘AI & I’ with Eve Bodnia

Apr 15, 2026 · 23 min readUpdated Aug 17, 2026

The transcript of AI & I with Eve Bodnia is below. Watch on X or YouTube, or listen on Spotify or Apple Podcasts.

Timestamps

Introduction: 00:00:51
Why correctness and verifiability matter in AI: 00:02:09
What an energy-based model is: 00:09:33
How EBMs construct energy landscapes to understand data: 00:14:21
Why modeling intelligence through language alone is a flawed approach: 00:19:00
What it means for a model to “understand” data: 00:26:54
How EBMs solve the vibe coding problem and enable formally verified code: 00:37:21
Why LLM progress is plateauing: 00:43:21
Mission-critical industries haven’t adopted LLMs, and why EBMs can fill that gap: 00:49:54

Transcript

Dan

Eve, welcome to the show.

Eve

Hi. Thanks for having me.

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