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1:44:23EN
Cognitive Revolution "How AI Changes Everything"· 16 mars 2024PodcastYou Can Split Your Vote by Issue — and Hand It to an AIAnime : Nathan LabenzTim Reutemann’s 2018 novel Liquid Reign sketches a 2051 democracy built on Swiss citizen initiatives, liquid delegation, and personal AIs you can mute.AI RegulationSécurité et gouvernancePersonal agents+3
1:01:53EN
Cognitive Revolution "How AI Changes Everything"· 13 févr. 2024PodcastCompanion Apps Open Twice as Often as TikTok. a16z Only Funds Weird but WorkingAnime : Nathan Labenza16z consumer partners Anish Acharya and Justine Moore walk Nathan Labenz through their Abundance Agenda for AI-native consumer apps.Produit et UXAI startups & small teamsProduct Strategy+3
1:15:39EN
Cognitive Revolution "How AI Changes Everything"· 29 nov. 2023PodcastAfter 20 Years of Frontend, v0 Wrote Better Code Than Guillermo Rauch DidAnime : Nathan LabenzThe Vercel CEO tells Nathan Labenz why every product needs ghost text, why Software 2.0 will ossify the old stack, and why betting against open source is still the expensive mistake.Agents de codeVibe CodingWorkflows de développement et tests+3
1:25:11EN
Cognitive Revolution "How AI Changes Everything"· 26 oct. 2023Podcast105 lines of code, a million impressions, and a VC who refused to found the companyAnime : Nathan LabenzBabyAGI creator Yohei Nakajima tells Nathan Labenz how a weekend prototype set off the agent wave — and why he went back to writing checks.AgentsIngénierie d’agentsAgent orchestration+3
55:13EN
Cognitive Revolution "How AI Changes Everything"· 7 sept. 2023PodcastTwo Days to a Prototype: How a16z Turned a Stanford Paper Into AI TownAnime : Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.AgentsIngénierie d’agentsAgent memory+3
1:01:09EN
Cognitive Revolution "How AI Changes Everything"· 31 août 2023PodcastHugging Face Raised $235M. Community Still Is Not a MoatAnime : Nathan LabenzNathan Labenz and Erik Torenberg unpack Hugging Face's $4.5 billion Series D, and why a thriving open-source hub may still struggle to become a locked-in business.Open source et communautéCompany BuildingOpen-source ecosystems+3
1:39:53EN
Cognitive Revolution "How AI Changes Everything"· 8 août 2023PodcastUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer IntelligenceAnime : Nathan LabenzMichele Catasta, Replit's new VP of AI, lays out a generate-execute-learn loop he will not call AGI, a 2x-to-1000x productivity ladder, and a keystroke-level data advantage.Agents de codeDeveloper productivityAI startups & small teams+3
2 diapositives5:53EN
Matthew Berman· 18 juil. 2023Petals: Distributing Large Language Model Inference Across DevicesMatthew Berman · Forward FutureIn 2023, Matthew Berman explains Petals as a way to use large models through a network of participating computers rather than loading every layer on one device.Distributed training & inferenceLocal inferenceInference+2
1:32:22EN
Cognitive Revolution "How AI Changes Everything"· 29 juin 2023PodcastA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer AwayAnime : Nathan LabenzLili Yu of Meta AI explains a multiscale transformer that predicts million-byte sequences, skips tokenization, and aims to model any file as raw bytes.Modèles et entraînementMultimodal AITransformers & attention+3
5 diapositives7:37EN
Matthew Berman· 25 mai 2023Smol Developer: Generating a Small Python Project From a PromptMatthew Berman · Forward FutureMatthew Berman walks through a 2023 project generator, from a simple Ruby example to a multi-file ChatGPT API program.Software engineeringAgents de codeDeveloper productivity+1
1:26:20EN
Cognitive Revolution "How AI Changes Everything"· 2 mars 2023PodcastForty Dollars to Index Joe Rogan: Chroma, Shovels, and the Wright Flyer Era of MLAnime : Nathan LabenzChroma co-founder Anton Troynikov on embeddings as the storage layer for language-model apps, Stable Attribution, and why machine learning is still flying on intuition.RAG et connaissancesGénération augmentée par récupérationEmbeddings+3
2:54:52EN
Lex Fridman· 8 août 2021PodcastThe Marvelous Proof Still Lives in the MarginAnime : Lex FridmanLuís and João Batalha, the brothers behind Fermat's Library, talk with Lex Fridman about hidden backstories, a publishing system that buys its own work twice, and how to sit with a paper until it finally clicks.Open source et communautéScience CommunicationPhilosophy of Science+2
17:19EN
Lex Fridman· 17 mars 2020PodcastMoney Is a Game of Points: Vitalik Buterin on Coordination, Public Goods, and Quadratic FundingAnime : Lex FridmanVitalik Buterin explains money as a social point system, why value can survive without physical backing, and how quadratic funding tries to fix public-good underfunding.PhilosophyCryptocurrencyPolitical Philosophy+2
1:13:51EN
Lex Fridman· 19 janv. 2020PodcastAnswering Questions Without Seeing the Data: Andrew Trask on the Privacy-Preserving AI StackAnime : Lex FridmanA tour of remote execution, differential privacy, secure multiparty computation, and the societal consequences of making private data usable.SécuritéPrivacy & data governanceOpen-source ecosystems+3
3 diapositives1:06:39EN
Jane Street· 31 mars 2016Why Jane Street Uses OCamlYaron Minsky · Jane StreetA Jane Street talk explains how functional programming and static types support reliable trading software, and examines the costs of choosing a less common language.Programming LanguagesSoftware engineeringDeveloper productivity+1
1:05:22EN
Unsupervised Learning: With Jacob EffronPodcastBuild First, Optimize Later: Harrison Chase on LangChain, Evals, and the State-Machine Future of AgentsAnime : Jacob EffronHarrison Chase explains how LangChain grew from an orchestration layer into LangSmith and LangGraph, why evaluation datasets force product clarity, and why reliable agents look more like state machines than autonomous loops.Produit et UXCompany BuildingAI startups & small teams+3
1:11:06EN
Unsupervised Learning: With Jacob EffronPodcastReplit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software CreatorsAnime : Jacob EffronThe Replit founder explains why AI should be native to the product, why he trained a small in-house model, and why he thinks software engineering is about to split in two.Produit et UXAgents de codeVibe Coding+3
40:00EN
Unsupervised Learning: With Jacob EffronPodcastThe Winds of Change: How Mistral Plans to Win the Open-Model EraAnime : Jacob EffronArthur Mensch explains Mistral's open-source strategy, enterprise distribution, model research, and views on AI regulation and sovereignty.Entreprise et stratégieOpen-source ecosystemsAI Strategy+3
1:12:15EN
Unsupervised Learning: With Jacob EffronPodcastThe Open-Model Vibe Check: China, Containment, and the Data MoatAnime : Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.Open source et communautéOpen-weight modelsOpen-source ecosystems+3
1:03:25EN
Lex FridmanPodcastTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your MathAnime : Lex FridmanPascal Lamblin of MILA walks through how Theano builds, differentiates, optimizes and runs computation graphs, then trains logistic regression, a convnet and an LSTM.Modèles et entraînementDeep LearningFondamentaux du ML+3
50:23EN
Unsupervised Learning: With Jacob EffronPodcastOpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence ArrivesAnime : Jacob EffronPeter Welinder explains OpenAI’s platform strategy, the case for proprietary frontier models over open source, the enterprise hallucination problem, and his speculative timeline for AGI and superintelligence.Entreprise et stratégieAGI TimelinesAI Strategy+3
1:02:06EN
Lex FridmanPodcastLearning TensorFlow Hands-On: From a Mystery Line to Handwritten DigitsAnime : 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.Modèles et entraînementInfrastructure et déploiementOpen-source ecosystems+3