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Lex Fridman· 23. März 2026Podcast · 2 StimmenAGI Is Already Here. Building NVIDIA Is Not.Gast: Jensen Huang · Moderation: 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. 2024Podcast · 2 StimmenThree Engineers, Three Weeks: The Internal LLM Tool Half of Stripe Uses Every WeekModeration: 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. Okt. 2023Podcast · 2 StimmenTen Thousand Certified Engineers in a Year: Google Cloud's Order of Operations for Enterprise AIModeration: 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. Juni 2023Podcast · 2 StimmenPython Isn't Finished: Chris Lattner on Mojo and the Hardware MessGast: Chris Lattner · Moderation: 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. Apr. 2023Podcast · 2 StimmenJensen Huang: For 25 Years, 99 Percent Were Right. NVIDIA Bet on the 1 PercentModeration: 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. Aug. 2019Podcast · 2 StimmenKevin Scott: Treat AI Like a Hash Table, and Measure Platforms by What Others EarnGast: Kevin Scott · Moderation: 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.