Episodes
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NVIDIA's AI Engineers: Agent Inference at Planetary Scale and "Speed of Light" — Nader Khalil (Brev), Kyle Kranen (Dynamo)
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⚡️ OpenClaw's Memory Sucks and the fix is simple — Dhravya Shah, Supermemory
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Cursor's Third Era: Cloud Agents
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Every Agent Needs a Box — Aaron Levie, Box
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⚡️ Polsia: Solo Founder Tiny Team from 0 to 1m ARR in 1 month & the future of Self-Running Companies
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METR’s Joel Becker on exponential Time Horizon Evals, Threat Models, and the Limits of AI Productivity
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[LIVE] Anthropic Distillation & How Models Cheat (SWE-Bench Dead) | Nathan Lambert & Sebastian Raschka
Model distillation is a prevalent practice in AI, where smaller models are trained on outputs generated by larger models.
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🔬 Searching the Space of All Possible Materials — Prof. Max Welling, CuspAI
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Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
AI tools like Claude Code can significantly enhance analysis work but currently lack the expert intuition that human analysts possess.
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⚡️ The End of SWE-Bench Verified — Mia Glaese & Olivia Watkins, OpenAI Frontier Evals & Human Data
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Bitter Lessons in Venture vs Growth: Anthropic vs OpenAI, Noam Shazeer, World Labs, Thinking Machines, Cursor, ASIC Economics — Martin Casado & Sarah Wang of a16z
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Owning the AI Pareto Frontier — Jeff Dean
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🔬 Beyond AlphaFold: How Boltz is Open-Sourcing the Future of Drug Discovery
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⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology
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The First Mechanistic Interpretability Frontier Lab — Myra Deng & Mark Bissell of Goodfire AI
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⚡️ Context Graphs: according to the authors — Jaya Gupta, Ashu Garg, Foundation Capital
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🔬 Automating Science: World Models, Scientific Taste, Agent Loops — Andrew White
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⚡️ Prism: OpenAI's LaTeX "Cursor for Scientists" — Kevin Weil & Victor Powell, OpenAI for Science
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Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay
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Brex’s AI Hail Mary — With CTO James Reggio
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