Cover art for TBPN

RSI Is Closer Than People Think, Per Tae Kim

TBPN

Published
July 29, 2026
Duration
31:22
Summary source
description
Last updated
Aug 5, 2026

Discusses agents.

Summary

This is our full interview with Tae Kim.We discussed why the AI trade is being misunderstood, why Kimi and better open-weight models could increase compute demand instead of reducing it, Meta's AI spending, NVIDIA's open-weight strategy, the race toward RSI, why data center fears are overblown, AMD's expanding AI market forecast, the future of agentic AI,…

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Show notes

This is our full interview with Tae Kim.We discussed why the AI trade is being misunderstood, why Kimi and better open-weight models could increase compute demand instead of reducing it, Meta's AI spending, NVIDIA's open-weight strategy, the race toward RSI, why data center fears are overblown, AMD's expanding AI market forecast, the future of agentic AI, NVIDIA's CUDA moat, and much more.TBPN is made possible by:Ramp - https://ramp.comPublic - https://public.comCisco - https://www.cisco.comCons

Themes

  • agents