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2:25:58EN
Lex Fridman· 23 mar 2026Pódcast · 2 vocesAGI Is Already Here. Building NVIDIA Is Not.Invitado: Jensen Huang · Presenta: Lex FridmanLex Fridman sits down with Jensen Huang for two and a half hours on extreme co-design, CUDA, four scaling laws, and why a $1 billion AI company is easier than a durable one.
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No Priors: AI, Machine Learning, Tech, & Startups· 8 feb 2024Pódcast · 2 vocesThree Engineers, Three Weeks: The Internal LLM Tool Half of Stripe Uses Every WeekPresenta: Sarah Guo, Elad GilEmily Glassberg Sands, Stripe's head of information, explains how a non-AI company got generative AI into employees' hands, then into Radar, Sigma, and the products customers actually pay for.
32:34ENNo Priors: AI, Machine Learning, Tech, & Startups· 23 oct 2023Pódcast · 2 vocesTen Thousand Certified Engineers in a Year: Google Cloud's Order of Operations for Enterprise AIPresenta: Sarah Guo, Elad GilKawal Gandhi, head of generative AI in Google Cloud's Office of the CTO, walks Sarah Guo and Elad Gil through dogfooding, the efficiency-productivity-creativity ladder, and why customer weights are the IP that cannot leak.
3:34:03ENLex Fridman· 2 jun 2023Pódcast · 2 vocesPython Isn't Finished: Chris Lattner on Mojo and the Hardware MessInvitado: Chris Lattner · Presenta: 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.
52:11ENNo Priors: AI, Machine Learning, Tech, & Startups· 20 abr 2023Pódcast · 2 vocesJensen Huang: For 25 Years, 99 Percent Were Right. NVIDIA Bet on the 1 PercentPresenta: Sarah Guo, Elad GilThe NVIDIA CEO tells No Priors how CUDA survived a decade without customers, why the company tries to stay lazy, and what he wants built for drugs and climate.
57:44ENLex Fridman· 1 ago 2019Pódcast · 2 vocesKevin Scott: Treat AI Like a Hash Table, and Measure Platforms by What Others EarnInvitado: Kevin Scott · Presenta: Lex FridmanMicrosoft's CTO talks radical markets, data dignity, Dunbar's number, and why a platform fails if only a handful of companies decide what AI is for.