Canales actualizados recientemente

Elige uno para ver solo ese canalVer todos los canales →

Resultados

65 artículos
Ordenar
52:27EN
Sequoia Capital· 1 sept 2026PódcastAfter Two Dozen Police Departments Said No, They Built an Anti-Network-Effect AI CompanyA Wisconsin county had 300 gigabytes sitting on a cold case—and Peregrine's founders still refuse to take the credit.SeguridadForward-deployed engineeringCompany Building+3
34:51EN
No Priors: AI, Machine Learning, Tech, & Startups· 27 ago 2026Pódcast · 2 vocesGoogle Paid $10 Million for a Bankrupt Airline’s Data. That’s the Moat.Presenta: Sarah Guo, Elad GilEon co-founders Ofir Ehrlich and Gonen Stein argue that models and compute are rented commodities — the only asset enterprises can actually keep is their data.Empresa y estrategiaInfraestructura y despliegueData quality & curation+3
40:56EN
Sequoia Capital· 10 mar 2026PódcastFour of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.Infraestructura y despliegueData quality & curationObservabilidad y fiabilidad+3
1:04:51EN
Cognitive Revolution "How AI Changes Everything"· 1 feb 2026Pódcast125 million cells took a decade. The next billion takes monthsPresenta: Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.Modelos y entrenamientoAI for scienceData quality & curation+3
1:18:05EN
Unsupervised Learning: With Jacob Effron· 18 dic 2025PódcastThe Real Bottleneck in AI Research Is Compute, Not IdeasPresenta: Jacob EffronAfter NeurIPS, Ari Morcos and Rob Toews sit down with Jacob Effron to argue about plateauing models, SSI’s secrecy, OpenAI’s cash burn, and a set of spicy 2026 bets.Empresa y estrategiaAI StrategyScaling Laws+3
48:00EN
Unsupervised Learning: With Jacob Effron· 15 dic 2025PódcastA Two-Second Vote Is Training Models to Be ClickbaitPresenta: Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.Evaluaciones y observabilidadRL environments & simulatorsData quality & curation+3
1:32:38EN
Cognitive Revolution "How AI Changes Everything"· 6 dic 2025PódcastPolish Is 1% of Frontier Training Data, So Poland Built Its Own ModelPresenta: Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.Empresa y estrategiaOpen-weight modelsData quality & curation+3
39:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 19 nov 2025Pódcast · 2 voces500 Gloves, 10 Million Trajectories, and a $10,000 Home RobotPresenta: 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
41:36EN
Sequoia Capital· 18 nov 2025PódcastFour Months to Drive Tokyo: How Wayve Bet the Company on One End-to-End NetworkWayve CEO Alex Kendall tells Sequoia’s Training Data why AV 2.0 ditches HD maps and hand-written stacks for a foundation model that can adapt to a new car and a new country in weeks.Modelos y entrenamientoAutonomous DrivingWorld models+3
48:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 13 nov 2025Pódcast · 2 vocesA New Drug Burns $2 Billion and 10 Years. Benchling's CEO Wants AI to Cut That to ThreePresenta: Sarah Guo, Elad GilMost medicines fail in years seven to ten, after hundreds of millions have already gone into the clinic—and Sajith Wickramasekara thinks sending things to space may already be easier.AgentesAI for scienceAI in healthcare+3
1:16:53EN
Unsupervised Learning: With Jacob Effron· 24 oct 2025PódcastKarpathy Called Today's Models Slop. His Decade Timeline Still Sounds BullishPresenta: Jacob EffronDatology AI's Ari Morcos and Radical Ventures' Rob Toews walk through Karpathy's cold water, OpenAI's dealmaking, and who actually pays for the data-center boom.Empresa y estrategiaAI StrategyCompany Building+3
1:01:49EN
Cognitive Revolution "How AI Changes Everything"· 2 oct 2025PódcastChatGPT's Co-Creator Left to Put Nature in the Reward LoopPresenta: Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.Modelos y entrenamientoAI for scienceReinforcement Learning+3
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 25 sept 2025PódcastEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%Presenta: Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.Modelos y entrenamientoIA en finanzasEmbeddings+3
1:55:02EN
Cognitive Revolution "How AI Changes Everything"· 30 ago 2025PódcastA hundred experiments a day, and the valley of death in materialsPresenta: Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.AgentesAI for scienceAutonomous Systems+3
57:52EN
Unsupervised Learning: With Jacob Effron· 13 ago 2025PódcastThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.Presenta: Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.Modelos y entrenamientoAI for scienceComputational Biology+3
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 24 jul 2025Pódcast · 2 vocesA Hundred People, a Billion in Revenue, and Zero Venture MoneyPresenta: Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.Evaluaciones y observabilidadData quality & curationValidación con humanos en el bucle+3
1:42:06EN
Cognitive Revolution "How AI Changes Everything"· 8 jul 2025PódcastEvery Frontier Lab Is Spending a Billion a Year on Data. Here Is Where It GoesPresenta: Nathan LabenzLabelbox CEO Manu Sharma on the $15 billion Scale deal, RL “gyms,” $250,000 trainers, and why post-training now eats the budget that used to belong to pre-training.Modelos y entrenamientoPost-trainingData quality & curation+3
44:21EN
Unsupervised Learning: With Jacob Effron· 4 jun 2025PódcastMercor's CEO: Knowledge Work's Next Job Is Writing EvalsPresenta: Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.Evaluaciones y observabilidadEvaluacionesData quality & curation+3
40:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 17 abr 2025Pódcast · 2 vocesDiscovery rates collapsed tenfold. KoBold still found a 5% copper depositPresenta: Sarah Guo, Elad GilJosh Goldman explains why KoBold Metals treats mineral exploration as an information problem, pairing AI with century-old maps to hunt lithium and copper.Empresa y estrategiaAI for scienceData quality & curation+3
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· 23 mar 2025PódcastA Year to Grow a Brain Organoid, an Hour to Simulate ItPresenta: Nathan LabenzStanford postdoc Siyu He tells Nathan Labenz how Squidiff and CORAL move single-cell and spatial experiments into the computer — and where the models still cannot go.Modelos y entrenamientoAI for scienceComputational Biology+3
35:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 20 mar 2025Pódcast · 2 vocesRobots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.Presenta: Sarah Guo, Elad GilPhysical Intelligence’s cofounder tells No Priors why a generalist robot model has to be trained across embodiments, why open-sourcing hardware is a bet against the problem going unsolved, and why humanoids are a little overrated.Modelos y entrenamientoRoboticsData quality & curation+3
32:46EN
Sequoia Capital· 25 feb 2025PódcastDon't draw the flowchart: OpenAI's Deep Research team on training agents end to endIsa Fulford and Josh Tobin explain why Deep Research was trained with reinforcement learning on hard browsing tasks instead of a human-written graph of model calls.AgentesIngeniería de agentesReinforcement Learning+3
57:41EN
No Priors: AI, Machine Learning, Tech, & Startups· 25 feb 2025Pódcast · 2 vocesA Hundred Million Cells, Four People, Three Days: Biology's ImageNet MomentPresenta: 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.Modelos y entrenamientoAI for scienceData quality & curation+3
1:40:22EN
Cognitive Revolution "How AI Changes Everything"· 22 ene 2025PódcastTwenty-atom crystals taught an AI the physics of a heartbeatPresenta: Nathan LabenzOrbital Materials' Jonathan Godwin and Tim Duignan tell Nathan Labenz how a neural network trained on tiny crystals simulated a potassium ion channel on a single 2017 GPU.Modelos y entrenamientoAI for scienceFundamentos de ML+3
Cargar másMostrando 24 de 65