Latent Space: The AI Engineer Podcast · Latent.Space

Owning the AI Pareto Frontier — Jeff Dean

·1 hr 24 min·5 clips
Jeff Dean reveals how Google balances frontier AI models with efficient, affordable ones to own the Pareto Frontier.
Jeff Dean, Google's chief AI scientist, discusses owning the AI Pareto Frontier through balancing frontier and efficient models, the history and future of distillation, hardware-energy trade-offs, and scaling AI to attend to trillions of tokens. The conversation covers Google's strategic insights, from early indexing innovations to modern multimodal and coding agent advancements.

As heard by us

A clear look at how AI performance depends on moving data efficiently across the stack.

Jeff Dean's conversation reads less like a victory lap than a compact lesson in hardware and systems tradeoffs. It stays grounded in specifics: SRAM versus HBM, the cost of moving a parameter compared with the multiply itself, and the appeal of batch size one for latency even…

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Why you'd press play

If you care why batching, memory, and latency keep shaping AI serving tradeoffs, press play.

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