Jonathan Song
90 posts







Every conversation I have with @dylan522p, I'm really just trying to understand the supply and demand of tokens. This is a unique episode in that it's entirely dedicated to talking about both sides of that equation. We discuss: - The infinite demand for the newest models - @SemiAnalysis_ going from $10K on AI spend to $7M - Mythos and Anthropic's compute problem - Why TSMC spending $100B on CapEx could cause a shortage - Robotics as next demand wave - Why memory prices will double again This is my second conversation with Dylan and find myself needing to speak with him more and more often to make sense of it all. Enjoy! Timestamps: 0:00 Intro 1:00 Surging AI Spend 10:27 Token Demand 16:21 When Ideas Are Cheap and Execution is Easy 20:46 Model Hoarding 22:34 Robotics 27:03 The Compute Bottleneck 30:26 The AI Permanent Underclass 31:39 Supply Chain Reality 37:47 CPUs 42:54 Predictions: Public Backlash











🌐 CPO Is Moving to Market. Testing Infrastructure Is Not Ready. EIC testing: μm-level alignment, fully automated. PIC testing: nm-level precision, no unified standards. That gap is the critical bottleneck as CPO moves to mass production. Traditional test vendors are partnering with PIC specialists, and integrated inspection solutions are emerging. Navigate the CPO testing gap before mass production stalls 👉 buff.ly/AbL97WC Explore CPO Testing Bottlenecks 📖 buff.ly/MRZLVUm #TrendForce #SelectedTopics



































