필터 결과
241개정렬
44:34EN
Jane Street· 2020년 10월 14일Chris Perl on Keeping Network Clocks in SyncYaron Minsky, Chris Perl · Jane StreetHow NTP, PTP and hardware timestamps work together to keep Jane Street’s clocks within a measurable error bound.
1:02:18ENJane Street· 2020년 9월 23일Brian Nigito on Multicast and the Architecture of MarketsYaron Minsky, Brian Nigito · Jane StreetWhy exchanges use ordered event streams, multicast and specialized networking to distribute market data quickly and fairly.
59:26ENJane Street· 2020년 9월 17일Andy Ray on FPGAs, Hardware Design and HardcamlYaron Minsky, Andy Ray · Jane StreetJane Street’s hardware design lead explains why programmable circuits can improve performance and how software tooling makes them easier to build and test.
1:49:51EN
Lex Fridman· 2020년 6월 27일팟캐스트 · 2명The Idea Once Called a Devolution Now Powers Almost Every New Chip게스트 David Patterson · 진행자 Lex FridmanTuring Award winner David Patterson talks with Lex Fridman about RISC, RAID, Moore's Law, open hardware, and why chips without a software stack die.
26:02ENLex Fridman· 2020년 2월 9일팟캐스트Moore’s Law Is Not Dead—It Is a Cascade of S-Curves진행자 Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
1:47:04ENLex Fridman· 2019년 7월 29일팟캐스트 · 2명Gustav Söderström on Why Spotify Could Only Be Born in Sweden게스트 Gustav Soderstrom · 진행자 Lex FridmanLex Fridman talks with Spotify’s chief R&D officer about three-minute songs, 250-millisecond playback, playlist luck, and herding record labels.
1:13:06ENLex Fridman· 2019년 5월 13일팟캐스트 · 2명The Compiler That Got Apple, Google, and Intel to Share a Codebase게스트 Chris Lattner · 진행자 Lex FridmanChris Lattner walks through LLVM, Clang, Swift, TPU numeric formats, and why compiler work is mostly software engineering.
57:57ENJane Street· 2019년 5월 8일Sebastian Funk on a Fast, Safe and Maintainable Packet ProcessorSebastian Funk · Jane StreetA single-core market-data case study shows how latency targets, allocation control and generated code can coexist with high-level abstractions.
1:06:51ENJane Street· 2018년 10월 24일Marius Eriksen: Reflow for Incremental Cloud Data ProcessingMarius Eriksen · GRAILA functional language and runtime turn data workflows into typed programs, reuse prior results and provision cloud resources on demand.
1:06:49ENJane Street· 2018년 1월 30일Bryan Cantrill on Finding the Butterfly Behind a Performance HurricaneBryan Cantrill · JoyentSmall defects can produce vast performance failures across layers of abstraction. Bryan Cantrill explains how to investigate them with questions, instrumentation and visualization.
1:27:23EN
Lenny's Podcast팟캐스트Going All In on AI at Cisco: Jeetu Patel on Platforms, Packet Loss and Telling People the Truth진행자 Lenny RachitskyCisco's president and chief product officer explains how a 90,000-person company went AI-first, what Cisco does in the AI infrastructure stack, and the leadership and career lessons behind it.
1:19:25ENLenny's Podcast팟캐스트Inside Mercado Libre: How 18,000 Engineers Ship 30,000 Changes a Day Without an Army of PMs진행자 Lenny RachitskySebastian Barrios, formerly head of product and engineering at Mercado Libre and now SVP of Engineering at Roblox, explains how a Latin American giant runs engineering and product as one team.
1:01:23EN
Citadel Securities팟캐스트Jensen 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.
23:57EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Chips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI Boom진행자 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.
30:30ENLex Fridman팟캐스트From Bitcoin Magazine to Ethereum 2.0: Vitalik Buterin on Building a World Computer진행자 Lex FridmanVitalik Buterin traces Ethereum's origin in the Bitcoin community, the governance fights that followed, and the proof-of-stake and sharding upgrades still to come.
1:18:48ENLex Fridman팟캐스트Data Movement, Not Math: How to Make Deep Learning Fit on Robots and Phones진행자 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.
36:05ENNo Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Contracts, Not Chips, Are the Collateral: How the AI Compute Buildout Gets Financed진행자 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.
45:46EN
Unsupervised Learning: With Jacob Effron팟캐스트Giving AI a Nervous System: Voice, Touch, and the Post-Keyboard Interface진행자 Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.
51:55ENUnsupervised Learning: With Jacob Effron팟캐스트The Search Engine Under AI Apps: Why Bigger Context Windows Aren't Enough진행자 Jacob EffronTurbopuffer CEO Simon on object-storage databases, vector-search trade-offs, and the AI features that will become SaaS table stakes.
15:43ENLex Fridman팟캐스트 · 2명Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Study게스트 MIT-AVT · 진행자 Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
46:48ENUnsupervised Learning: With Jacob Effron팟캐스트Snowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes First진행자 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.
1:30:18ENLex Fridman팟캐스트Night Markets and Chip Foundries: A Week in Taiwan with Jensen Huang진행자 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.
1:02:06ENLex Fridman팟캐스트Learning TensorFlow Hands-On: From a Mystery Line to Handwritten Digits진행자 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.
54:52ENUnsupervised Learning: With Jacob Effron팟캐스트Coding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontier진행자 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.더 보기241개 중 24개 표시