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5:06:18ENDeepSeek's $5 million training claim and the five-year bet on compute진행자 Lex FridmanDylan Patel and Nathan Lambert walk Lex Fridman through DeepSeek-V3 and R1, export controls, TSMC, megaclusters, and who actually makes money in the AI race.
3:34:03ENPython Isn't Finished: Chris Lattner on Mojo and the Hardware Mess게스트 Chris Lattner · 진행자 Lex FridmanThe LLVM creator returns to Lex Fridman to argue that Python should grow C-like performance instead of forcing people out of the language.
37:38ENThe Best-Selling Vacuum in America Is a Robot게스트 Colin Angle · 진행자 Lex FridmaniRobot CEO Colin Angle on why most robotics companies die, why a Roomba is costed by weight, and why printing privacy promises on the box would hurt sales.
1:18:48ENData Movement, Not Math: How to Make Deep Learning Fit on Robots and Phones진행자 Lex FridmanMIT professor Vivienne Sze explains why moving data dominates the energy cost of neural networks and how co-designing hardware and algorithms can cut it by orders of magnitude.









