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314 件
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1:23:40EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月15日ポッドキャストA $9 Tutor That Refuses to Give the Answerホスト Nathan LabenzHow Khan Academy spent five months of GPT-4 early access building Khanmigo, a Socratic tutor shipped on the model's launch day.プロダクトと UXAI in EducationProduct Strategy+3
1:01:26EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月25日ポッドキャストAlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.ホスト Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.インフラとデプロイAI cost & performanceDistributed training & inference+3
1:30:29EN
Cognitive Revolution "How AI Changes Everything"· 2023年6月9日ポッドキャストGPT-4 Wins Ten Times More Bill Fights: DoNotPay's Robot-Lawyer Warホスト 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.エージェントProduct StrategyAI startups & small teams+3
3:34:03EN
Lex Fridman· 2023年6月2日ポッドキャスト · 2 人Python Isn't Finished: Chris Lattner on Mojo and the Hardware Messゲスト Chris Lattner · ホスト 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.インフラとデプロイAI platform engineeringSoftware engineering+3
1:20:49EN
Cognitive Revolution "How AI Changes Everything"· 2023年5月25日ポッドキャストA Wafer-Scale Chip So AI Stops Waiting on Amdahlホスト 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.インフラとデプロイInferenceAI cost & performance+3
40:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年4月6日ポッドキャスト · 2 人A 6-Billion-Parameter Clone of ChatGPT’s Core Trickホスト 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.モデルと学習Open-weight modelsファインチューニング+3
41:40EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月30日ポッドキャスト · 2 人Every 10 Milliseconds Cost Copilot 1% of Completionsホスト 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.コーディングエージェントProduct engineeringAI interface design+3
スライド 3 枚6:50EN
Matthew Berman· 2023年3月19日Running 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 inferenceモデルと学習ファインチューニング+1
35:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月16日ポッドキャスト · 2 人Featured snippets stalled at 7%. A Google veteran used language models to hit 70%ホスト 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 とナレッジ検索拡張生成(RAG)Search & retrieval+3
1:44:19EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月14日ポッドキャストTen People Versus Google’s $282 Billion Search Machineホスト 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.プロダクトと UXAI startups & small teamsProduct Strategy+3
スライド 5 枚17:06EN
Matthew Berman· 2023年3月11日A 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.開発ワークフローとテストFoundation ModelsPrompt optimization+2
37:38EN
Lex Fridman· 2019年9月19日ポッドキャスト · 2 人The Best-Selling Vacuum in America Is a Robotゲスト Colin Angle · ホスト 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.企業と戦略RoboticsProduct Strategy+3
1:01:23EN
Citadel SecuritiesポッドキャストJensen 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.企業と戦略インフラとデプロイAI Strategy+3
1:53:14EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストWorth Thousands, Priced at $20: Zvi Mowshowitz on OpenAI's Flurry, Gemini Bets, Deepfakes and a Compute Capホスト 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.企業と戦略AI StrategyProduct Strategy+3
23:57EN
No Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Chips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI Boomホスト 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.企業と戦略インフラとデプロイAI cost & performance+3
1:00:10EN
Unsupervised Learning: With Jacob EffronポッドキャストThe Long Leash and the Narrow Fences: Eric Ries and Jeremy Howard on Building AI’s Edison Labホスト 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.企業と戦略AI startups & small teamsCompany Building+3
1:18:48EN
Lex FridmanポッドキャストData 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.インフラとデプロイInferenceAI cost & performance+3
36:05EN
No Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Contracts, 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.企業と戦略インフラとデプロイAI cost & performance+3
57:21EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストGemini 2.0 Flash Goes to Production: Pricing, Model Lineup and What Developers Should Build Nextホスト Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.モデルと学習BenchmarksAI cost & performance+3
31:46EN
No Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Why Rivian Threw Out Its First Self-Driving Stack and Built Its Own Brainホスト Sarah Guo, Elad GilRivian founder RJ Scaringe explains the neural-net reset, in-house chips, software-defined architecture and the mass-market R2 bet.企業と戦略Autonomous DrivingInference+3
51:55EN
Unsupervised Learning: With Jacob EffronポッドキャストThe 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.インフラとデプロイVector search検索拡張生成(RAG)+3