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RSI Is Closer Than People Think, Per Tae Kim

TBPN, 31 min, 6.7K views, Jul 29, 2026

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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.com Public - https://public.com Cisco - https://www.cisco.com Console - https://www.console.com CrowdStrike - https://www.crowdstrike.com Figma - https://www.figma.com MongoDB - https://www.mongodb.com NYSE - https://www.nyse.com Railway - https://railway.com Shopify - https://www.shopify.com/ Codex - http://openAI.com/codex Sign up for TBPN’s daily newsletter at TBPN.com Follow TBPN: https://TBPN.com https://x.com/tbpn https://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231 https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235 https://www.youtube.com/@TBPNLive