絞り込み結果
199 件並び順
1:18:48ENData Movement, Not Math: How to Make Deep Learning Fit on Robots and Phonesホスト 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.
36:05ENContracts, Not Chips, Are the Collateral: How the AI Compute Buildout Gets Financedホスト 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.
45:46ENGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard Interfaceホスト Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.
51:55ENThe Search Engine Under AI Apps: Why Bigger Context Windows Aren't Enoughホスト Jacob EffronTurbopuffer CEO Simon on object-storage databases, vector-search trade-offs, and the AI features that will become SaaS table stakes.
15:43ENInside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Studyゲスト MIT-AVT · ホスト Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
46:48ENSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes Firstホスト Jacob EffronSnowflake head of AI Baris Gekken explains how Arctic and Cortex were built, where enterprise AI actually works today, and why precision, governance and evaluation matter more than raw model capability.
1:30:18ENNight Markets and Chip Foundries: A Week in Taiwan with Jensen Huangホスト Lex FridmanLex Fridman follows NVIDIA's CEO through Computex, street food and long chats about Taiwan's tech history, export controls and how to choose business partners.
1:02:06ENLearning TensorFlow Hands-On: From a Mystery Line to Handwritten Digitsホスト Lex FridmanGoogle Brain's Sherry Moore walks a Deep Learning School audience through how TensorFlow works and two core labs, linear regression and MNIST digit recognition.
54:52ENCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontierホスト Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.
17:19ENFrom Atoms to Data Centers: How a Modern Processor Finds Parallelism in a Serial Programゲスト Jim Keller · ホスト Lex FridmanJim Keller walks through the layers of abstraction in computer design, from transistors to out-of-order execution, branch prediction and deterministic answers.
41:23ENThe Vulnerability Flood: Cloudflare's CTO on Security, Agent Traffic and an AI-First Companyホスト Sarah Guo, Elad GilCloudflare CTO Dane Knecht tells Sarah Guo how AI is accelerating vulnerability discovery, why agents need a new economic model for the web, and how Cloudflare is reorganizing around AI.
1:01:13ENPinecone's Vector Database Bet: Scaling Through the ChatGPT Tsunamiホスト Jacob EffronEdo Liberty explains how Pinecone scaled through the generative AI boom, why vector search is more than a database add-on, and where he sees the next AI infrastructure shifts.
1:02:15ENSuno’s CEO Says the Future of Music Is a Conversation, Not a Promptホスト Jacob EffronSuno CEO Mikey Shulman explains how AI music is moving from text prompts to co-creation, why music evals are subjective, and what he would build next.









