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1:23:40EN
Cognitive Revolution "How AI Changes Everything"· 15 ago 2023PódcastA $9 Tutor That Refuses to Give the AnswerPresenta: Nathan LabenzHow Khan Academy spent five months of GPT-4 early access building Khanmigo, a Socratic tutor shipped on the model's launch day.Producto y UXAI in EducationProduct Strategy+3
1:01:26EN
Cognitive Revolution "How AI Changes Everything"· 25 jul 2023PódcastAlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.Presenta: Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.Infraestructura y despliegueAI cost & performanceDistributed training & inference+3
1:30:29EN
Cognitive Revolution "How AI Changes Everything"· 9 jun 2023PódcastGPT-4 Wins Ten Times More Bill Fights: DoNotPay's Robot-Lawyer WarPresenta: Nathan LabenzGPT-3 thanked Comcast for twenty dollars off. GPT-4 said that was not enough — and the robot lawyer called it an arms race.AgentesProduct StrategyAI startups & small teams+3
3:34:03EN
Lex 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.Infraestructura y despliegueAI platform engineeringSoftware engineering+3
1:20:49EN
Cognitive Revolution "How AI Changes Everything"· 25 may 2023PódcastA Wafer-Scale Chip So AI Stops Waiting on AmdahlPresenta: Nathan LabenzAndrew Feldman, CEO of Cerebras, tells Nathan Labenz why one 2.5-trillion-transistor die, sparse linear algebra, and a 16-machine supercomputer are a better shape than a GPU cluster.Infraestructura y despliegueInferenceAI cost & performance+3
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 6 abr 2023Pódcast · 2 vocesA 6-Billion-Parameter Clone of ChatGPT’s Core TrickPresenta: 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.Modelos y entrenamientoOpen-weight modelsAjuste fino+3
41:40EN
No Priors: AI, Machine Learning, Tech, & Startups· 30 mar 2023Pódcast · 2 vocesEvery 10 Milliseconds Cost Copilot 1% of CompletionsPresenta: Sarah Guo, Elad GilGitHub Copilot's chief architect, Alex Graveley, walks through how a leftover code model with a sub-10% test pass rate became a product developers would not quit — and what he is building next at Minion AI.Agentes de programaciónProduct engineeringAI interface design+3
3 diapositivas6:50EN
Matthew Berman· 19 mar 2023Running LLaMA and Alpaca Locally: A 2023 Dalai TutorialMatthew Berman · Forward FutureMatthew Berman demonstrates an early local-model setup on a MacBook Air and explains the settings that control generation.Local inferenceModelos y entrenamientoAjuste fino+1
35:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 16 mar 2023Pódcast · 2 vocesFeatured snippets stalled at 7%. A Google veteran used language models to hit 70%Presenta: Sarah Guo, Elad GilNeeva founder Sridhar Ramaswamy tells No Priors why answers always beat links, why privacy never sold the switch, and why most queries do not need the biggest model.RAG y conocimientoGeneración aumentada por recuperaciónSearch & retrieval+3
1:44:19EN
Cognitive Revolution "How AI Changes Everything"· 14 mar 2023PódcastTen People Versus Google’s $282 Billion Search MachinePresenta: Nathan LabenzPerplexity founder Aravind Srinivas tells Nathan Labenz why citations, speed, and value per minute — not chat bubbles — are how a tiny team competes with Google.Producto y UXAI startups & small teamsProduct Strategy+3
5 diapositivas17:06EN
Matthew Berman· 11 mar 2023A 2023 Walkthrough of the ChatGPT API and a Python Naming AppMatthew Berman · Forward FutureMatthew Berman explains the GPT-3.5 Turbo launch, tokens and temperature, then runs an older DaVinci-based Flask example.Flujos de desarrollo y pruebasFoundation ModelsPrompt optimization+2
37:38EN
Lex Fridman· 19 sept 2019Pódcast · 2 vocesThe Best-Selling Vacuum in America Is a RobotInvitado: Colin Angle · Presenta: 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.Empresa y estrategiaRoboticsProduct Strategy+3
1:01:23EN
Citadel SecuritiesPódcastJensen Huang on AI Factories, Digital Workers and Why the Build-Out Has Barely BegunNvidia's CEO tells a room of institutional investors how accelerated computing led to AI factories, and where agentic AI, robotics and sovereign AI go next.Empresa y estrategiaInfraestructura y despliegueAI Strategy+3
1:53:14EN
Cognitive Revolution "How AI Changes Everything"PódcastWorth Thousands, Priced at $20: Zvi Mowshowitz on OpenAI's Flurry, Gemini Bets, Deepfakes and a Compute CapPresenta: Nathan LabenzZvi Mowshowitz and Nathan Labenz survey OpenAI's launch spree, AI pricing and bundling, data pollution, deepfakes, the reversal curse, calls to cap training compute, and Amazon's Anthropic deal.Empresa y estrategiaAI StrategyProduct Strategy+3
23:57EN
No Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesChips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI BoomPresenta: Sarah Guo, Elad GilThe hosts answer listener questions on the GPU crunch, how soon enterprises will ship AI products, how to build agents, and what 2024 holds for tech valuations.Empresa y estrategiaInfraestructura y despliegueAI cost & performance+3
1:00:10EN
Unsupervised Learning: With Jacob EffronPódcastThe Long Leash and the Narrow Fences: Eric Ries and Jeremy Howard on Building AI’s Edison LabPresenta: Jacob EffronEric Ries and Jeremy Howard discuss Lean Startup discipline in AI, Answer.AI’s for-profit R&D lab model, efficient fine-tuning, language-heavy applications, and AI safety regulation.Empresa y estrategiaAI startups & small teamsCompany Building+3
1:18:48EN
Lex FridmanPódcastData Movement, Not Math: How to Make Deep Learning Fit on Robots and PhonesPresenta: 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.Infraestructura y despliegueInferenceAI cost & performance+3
36:05EN
No Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesContracts, Not Chips, Are the Collateral: How the AI Compute Buildout Gets FinancedPresenta: Sarah Guo, Elad GilMagnetar's Neil Tiwari explains the debt structures behind GPU clouds, why power and steel now limit the buildout, and why he thinks the selloff in software is overdone.Empresa y estrategiaInfraestructura y despliegueAI cost & performance+3
57:21EN
Cognitive Revolution "How AI Changes Everything"PódcastGemini 2.0 Flash Goes to Production: Pricing, Model Lineup and What Developers Should Build NextPresenta: Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.Modelos y entrenamientoBenchmarksAI cost & performance+3
31:46EN
No Priors: AI, Machine Learning, Tech, & StartupsPódcast · 2 vocesWhy Rivian Threw Out Its First Self-Driving Stack and Built Its Own BrainPresenta: Sarah Guo, Elad GilRivian founder RJ Scaringe explains the neural-net reset, in-house chips, software-defined architecture and the mass-market R2 bet.Empresa y estrategiaAutonomous DrivingInference+3
51:55EN
Unsupervised Learning: With Jacob EffronPódcastThe Search Engine Under AI Apps: Why Bigger Context Windows Aren't EnoughPresenta: Jacob EffronTurbopuffer CEO Simon on object-storage databases, vector-search trade-offs, and the AI features that will become SaaS table stakes.Infraestructura y despliegueVector searchGeneración aumentada por recuperación+3