Recently updated channels

Pick one to see only that channelBrowse all channels →

Results

28 articles
Sort
35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· Oct 2, 2026Podcast · 2 speakersCompute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That RatioHost Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.Infrastructure & deploymentInferenceAI cost & performance+3
2:25:58EN
Lex Fridman· Mar 23, 2026Podcast · 2 speakersAGI Is Already Here. Building NVIDIA Is Not.Guest Jensen Huang · Host 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.Enterprise & strategyCompany BuildingAI Strategy+3
39:16EN
No Priors: AI, Machine Learning, Tech, & Startups· Nov 19, 2025Podcast · 2 speakers500 Gloves, 10 Million Trajectories, and a $10,000 Home RobotHost Sarah Guo, Elad GilSunday Robotics co-founders Tony Zhao and Cheng Chi map the gap between a scalable imitation-learning recipe and a machine that actually does the dishes.RoboticsData quality & curationScaling Laws+3
1:48:46ZH → English
Zhang Xiaojun Podcast· Nov 18, 2025Podcast · 2 speakersLiu Xianming: Removing Language to Bring Physical AI Back to Data and ActionGuest 刘先明 · Host 张小珺Liu Xianming, head of autonomous driving at XPeng, explains why language supervision in VLA training can become an efficiency bottleneck and how he is helping XPeng shift from an autonomous-driving team to a physical AI company. The conversation also covers scaling data, organizational change, production safety, and what comes next for autonomous driving.Autonomous DrivingAI StrategyRobotics+2
1:09EN
Matthew Berman· Jul 3, 2025A Discussion of GPT-4.5’s Scaling and TrainingA speaker offers an assessment of GPT-4.5’s cost, speed and alleged training challenges.Models & trainingScaling Laws
2:12:04EN
Lex Fridman· Jun 5, 2025Podcast · 2 speakersFrom a Five-Year Phone Queue to 480 Trillion Tokens a MonthGuest Sundar Pichai · Host Lex FridmanSundar Pichai talks with Lex Fridman about Chennai, the AI package, Search, Chrome, Waymo, and why he stayed calm when the headlines said Google was finished.Enterprise & strategyAI StrategyAGI Timelines+3
57:41EN
No Priors: AI, Machine Learning, Tech, & Startups· Feb 25, 2025Podcast · 2 speakersA Hundred Million Cells, Four People, Three Days: Biology's ImageNet MomentHost Sarah Guo, Elad GilVevo Therapeutics and the Arc Institute open-sourced Tahoe-100M and a 230-million-cell atlas in the same week — and argued that virtual cells, not just protein folders, are the next language model of biology.Models & trainingAI for scienceData quality & curation+3
3 slides21:10EN
Matthew Berman· Feb 11, 2025Sam Altman’s 2025 AI Coding Forecast and Three ObservationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman examines predictions about reasoning models, software agents and AI economics, distinguishing competitive-programming results from broader work.Coding agentsScaling LawsReinforcement Learning+2
44:16EN
No Priors: AI, Machine Learning, Tech, & Startups· Nov 21, 2024Podcast · 2 speakersCohere's Aidan Gomez: The Model Curve Is Flattening, and $20 Million Now Buys GPT-4Host Sarah Guo, Elad GilThe Attention Is All You Need co-author tells No Priors why enterprises should stop waiting for the next model and start putting today's models into production.Enterprise & strategyEnterprise AIAI Strategy+3
5:15:00EN
Lex Fridman· Nov 11, 2024Podcast · 2 speakersDario Amodei Has Seen This Scaling Movie Enough TimesGuest Dario Amodei · Host Lex FridmanAnthropic’s CEO puts numbers on frontier training costs and AGI, then hands the mic to the people who shape Claude’s character and look inside its weights.Models & trainingSafety & governanceScaling Laws+3
36:49EN
No Priors: AI, Machine Learning, Tech, & Startups· Nov 7, 2024Podcast · 2 speakersJensen Huang: NVIDIA Is No Longer Building Computers. It Is Building AI FactoriesHost Sarah Guo, Elad GilOn No Priors, NVIDIA’s CEO walks through hyper Moore’s law, NVLink, a 100,000-GPU cluster stood up in weeks, and why tokens are the new commodity.Infrastructure & deploymentAI cost & performanceInference+3
44:16EN
No Priors: AI, Machine Learning, Tech, & Startups· Sep 5, 2024Podcast · 2 speakersA perfect demo is ten years from a product you can pay forHost Sarah Guo, Elad GilAndrej Karpathy uses Waymo's decade-long gap, Tesla's software bet, and a new AI course to argue that autonomous intelligence will stall at product and globalization, not at the first impressive clip.Enterprise & strategyTransformers & attentionScaling Laws+3
50:20EN
20VC with Harry Stebbings· Aug 28, 2024Podcast · 2 speakersArvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model BenchmarksGuest Arvind Narayanan · Host Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.Models & trainingScaling LawsAI Safety+2
42:42EN
No Priors: AI, Machine Learning, Tech, & Startups· Aug 22, 2024Podcast · 2 speakersEthereum Once Held Two Thousand GPT-3 Clusters of GPUsHost Sarah Guo, Elad GilFoundry CEO Jared Quincy Davis on idle H100s, why today's AI cloud is still colocation, and how compound systems move work off giant interconnected clusters.Infrastructure & deploymentAI cost & performanceDistributed training & inference+3
1:33:07ZH → English
Zhang Xiaojun Podcast· Aug 17, 2024Podcast · 2 speakersLi Guangmi on a Year in Global LLMs: Scaling Law, the AGI Bet, and the US–China LandscapeGuest 李广密 · Host 张小珺Drawing on his front-row view from Silicon Valley, Shixiang Capital founder Li Guangmi looks back at the competition among OpenAI, Anthropic, Google, and Chinese model companies. He argues that model capability and cost together will shape the next wave of applications, while today’s enormous investments are bets on whether intelligence can keep scaling and how AI will reshape the economy and industry over the long term.Models & trainingScaling LawsAI research+2
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· Aug 1, 2024Podcast · 2 speakersOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedHost Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.Models & trainingAGI TimelinesPretraining & midtraining+3
29:09EN
No Priors: AI, Machine Learning, Tech, & Startups· May 9, 2024Podcast · 2 speakersThe Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power PlantHost Sarah Guo, Elad GilSarah Guo and Elad Gil walk through music models, on-device LLMs, long context, and why AI capex now sits beside oil and broadband.Infrastructure & deploymentAI cost & performanceContext engineering+3
31:24EN
No Priors: AI, Machine Learning, Tech, & Startups· Apr 25, 2024Podcast · 2 speakersSora's Leads: A Minute of HD Video Is Just the GPT-1 of Video ModelsHost Sarah Guo, Elad GilAditya Ramesh, Tim Brooks, and Bill Peebles tell No Priors why text-to-video sits on the path to AGI, why they started from scratch instead of extending an image generator, and why they still have no product date.Multimodal & mediaVision & videoWorld models+3
40:58EN
No Priors: AI, Machine Learning, Tech, & Startups· Jan 25, 2024Podcast · 2 speakers99% of Factory Robots Are Dumb. Covariant Wants the Smart Ones Working in Warehouses FirstHost Sarah Guo, Elad GilFormer OpenAI researcher Peter Chen explains why robot foundation models have to be trained on production floors, not in labs.Models & trainingRoboticsFoundation Models+3
32:57EN
No Priors: AI, Machine Learning, Tech, & Startups· Nov 9, 2023Podcast · 2 speakersA 7-billion-parameter model on a MacBook: Mistral's CEO reruns the cost of AIHost Sarah Guo, Elad GilArthur Mensch tells No Priors why Chinchilla made small models valuable, why open-sourcing Mistral 7B is not a bioweapon risk, and why guardrails belong on the application.Open source & communityOpen-source ecosystemsOpen-weight models+3
41:58EN
No Priors: AI, Machine Learning, Tech, & Startups· Nov 2, 2023Podcast · 2 speakersReliability is the bottleneck. Autonomy is what would make AI feel alive.Host Sarah Guo, Elad GilIlya Sutskever talks with Sarah Guo and Elad Gil about AlexNet, OpenAI’s capped-profit bet, why smaller models mainly lose reliability, and the line he draws for digital life.Models & trainingAGIScaling Laws+3
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· Sep 7, 2023Podcast · 2 speakersA Dinner-Plate Chip Cut Training From 60 Days to 3.5Host Sarah Guo, Elad GilCerebras CEO Andrew Feldman tells No Priors why wafer-scale silicon, not another GPU, is the answer to the compute crunch — and why most production models will stay at 13 billion parameters or below.Infrastructure & deploymentInferenceAI cost & performance+3
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· Apr 6, 2023Podcast · 2 speakersA 6-Billion-Parameter Clone of ChatGPT’s Core TrickHost Sarah Guo, Elad GilDatabricks CTO Matei Zaharia tells Sarah Guo and Elad Gil how Dolly learned instruction-following on fifty times less data than GPT-3 — and why he would rather look facts up than bake them into a trillion-parameter network.Models & trainingOpen-weight modelsFine-tuning+3
45:03EN
No Priors: AI, Machine Learning, Tech, & Startups· Feb 16, 2023Podcast · 2 speakersEmad Mostaque’s bet: open small models, not one giant brainHost Sarah Guo, Elad GilStability AI’s founder tells No Priors why foundation models should be public infrastructure, why small models can beat giant ones, and what that means for media, medicine, and AGI.Open source & communityOpen-weight modelsMultimodal AI+3
Load moreShowing 24 of 28