필터 결과
266개정렬
1:23:40EN
Cognitive Revolution "How AI Changes Everything"· 2023년 8월 15일팟캐스트A $9 Tutor That Refuses to Give the Answer진행자 Nathan LabenzHow Khan Academy spent five months of GPT-4 early access building Khanmigo, a Socratic tutor shipped on the model's launch day.
1:01:26ENCognitive Revolution "How AI Changes Everything"· 2023년 7월 25일팟캐스트AlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.진행자 Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.
1:30:29ENCognitive Revolution "How AI Changes Everything"· 2023년 6월 9일팟캐스트GPT-4 Wins Ten Times More Bill Fights: DoNotPay's Robot-Lawyer War진행자 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.
3:34:03EN
Lex Fridman· 2023년 6월 2일팟캐스트 · 2명Python Isn't Finished: Chris Lattner on Mojo and the Hardware Mess게스트 Chris Lattner · 진행자 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.
1:20:49ENCognitive Revolution "How AI Changes Everything"· 2023년 5월 25일팟캐스트A Wafer-Scale Chip So AI Stops Waiting on Amdahl진행자 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.
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 4월 6일팟캐스트 · 2명A 6-Billion-Parameter Clone of ChatGPT’s Core Trick진행자 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.
41:40ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023년 3월 30일팟캐스트 · 2명Every 10 Milliseconds Cost Copilot 1% of Completions진행자 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.
6:50EN
Matthew Berman· 2023년 3월 19일Running 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.
35:36ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023년 3월 16일팟캐스트 · 2명Featured snippets stalled at 7%. A Google veteran used language models to hit 70%진행자 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.
1:44:19ENCognitive Revolution "How AI Changes Everything"· 2023년 3월 14일팟캐스트Ten People Versus Google’s $282 Billion Search Machine진행자 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.
37:38ENLex Fridman· 2019년 9월 19일팟캐스트 · 2명The Best-Selling Vacuum in America Is a Robot게스트 Colin Angle · 진행자 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.
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.
1:53:14ENCognitive Revolution "How AI Changes Everything"팟캐스트Worth Thousands, Priced at $20: Zvi Mowshowitz on OpenAI's Flurry, Gemini Bets, Deepfakes and a Compute Cap진행자 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.
23:57ENNo 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.
1:00:10EN
Unsupervised Learning: With Jacob Effron팟캐스트The Long Leash and the Narrow Fences: Eric Ries and Jeremy Howard on Building AI’s Edison Lab진행자 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.
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.
57:21ENCognitive Revolution "How AI Changes Everything"팟캐스트Gemini 2.0 Flash Goes to Production: Pricing, Model Lineup and What Developers Should Build Next진행자 Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.
31:46ENNo Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Why Rivian Threw Out Its First Self-Driving Stack and Built Its Own Brain진행자 Sarah Guo, Elad GilRivian founder RJ Scaringe explains the neural-net reset, in-house chips, software-defined architecture and the mass-market R2 bet.
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.