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scaling
32 pages
Episodes (12)
Brian Halligan on CEO Coaching, Halliganisms, and Why Scaling Is Harder Than Ever
Claire Hughes Johnson on Scaling People and the Company Operating System
Daniel Lereya on Monday.com, Impact-Driven Teams, and Radical Transparency
Dario Amodei on Claude, AGI and the Future of AI
Dario Amodei on the End of the Exponential, AI Diffusion, and the Economics of AGI
Ilya Sutskever on the Age of Research, Continual Learning, and Alignment
Intro to Large Language Models
Kevin Weil on OpenAI and the Future of AI Products
Madhavan Ramanujam 2.0 on Scaling Innovation
Melissa Perri and Denise Tilles on Product Operations
Molly Graham on Giving Away Your Legos, the Waterline Model, and Scaling Yourself
Nathan Lambert and Sebastian Raschka on State of AI in 2026
Notes (7)
Claire Hughes Johnson on Scaling People and the Company Operating System
Dario Amodei on Claude, AGI and the Future of AI
Dario Amodei on the End of the Exponential, AI Diffusion, and the Economics of AGI
Ilya Sutskever on the Age of Research, Continual Learning, and Alignment
Kevin Weil on OpenAI and the Future of AI Products
Molly Graham on Giving Away Your Legos, the Waterline Model, and Scaling Yourself
Nathan Lambert and Sebastian Raschka on State of AI in 2026
Concepts (6)
Age of Research
Big Blob of Compute Hypothesis
Bitter Lesson
Country of Geniuses in a Data Center
Model Maximalism
Scaling Laws
Themes (1)
The Road to AGI
Speakers (6)
Brian Halligan
Claire Hughes Johnson
Daniel Lereya
Ilya Sutskever
Kevin Weil
Molly Graham