Résultats
19 articlesTrier
19:43EN
AI Engineer· 26 oct. 2026Jack Wotherspoon on Building a Team of Managed AgentsJack Wotherspoon · Google DeepMindGoogle DeepMind’s Jack Wotherspoon introduces Gemini Managed Agents: cloud sandboxes that let teams run coding and research agents with a single API call. He explains how persistent environments, reusable skills, proxy-injected credentials, schedules, and specialized agents fit together.
17:37ENAI Coding, Game Mashups and the Value of Human TasteMatthew Berman · Forward FutureMatthew Berman explains decompilation and game mashups, then argues that iterative AI coding changes software and creativity.
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 1 juil. 2026PodcastFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can ExploreAnime : Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.
1:37:43ENCognitive Revolution "How AI Changes Everything"· 25 mars 2026PodcastCisco wants two extra network layers so agents can share intentAnime : Nathan LabenzVijoy Pandey of Outshift by Cisco argues that superintelligence has to scale out through networks of agents, not just up through bigger models.
2:06:23ENCognitive Revolution "How AI Changes Everything"· 8 mars 2026PodcastFive AI Employees Live on Five Mac MinisAnime : Nathan LabenzAfter selling her YC packaging company, Jesse Genet opened a terminal for the first time and built an OpenClaw staff that now plans lessons, logs learning, and keeps family evenings from sliding into slop.
1:57:56ENCognitive Revolution "How AI Changes Everything"· 5 févr. 2026PodcastA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding PipelineAnime : Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.
1:32:47ENCognitive Revolution "How AI Changes Everything"· 13 sept. 2025PodcastA transformer co-author wants a $160 million model no company ownsAnime : Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.
1:29:02ENCognitive Revolution "How AI Changes Everything"· 15 févr. 2025PodcastShe Never Sees a Row of Your Data. The Answers Still Clear 95%.Anime : Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.
1:01:53ENCognitive Revolution "How AI Changes Everything"· 18 déc. 2024PodcastHumans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.Anime : Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.
55:50EN
Unsupervised Learning: With Jacob Effron· 16 déc. 2024PodcastThere will not be one model. Fireworks is betting on hundreds of small expertsAnime : Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.
1:21:50ENCognitive Revolution "How AI Changes Everything"· 14 nov. 2023PodcastA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.Anime : Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.
1:25:11ENCognitive 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.
1:45:46ENCognitive Revolution "How AI Changes Everything"· 4 août 2023PodcastReplit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring BotsAnime : Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.
1:40:44ENCognitive Revolution "How AI Changes Everything"· 19 juil. 2023PodcastGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4Anime : Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.
1:21:06ENCognitive Revolution "How AI Changes Everything"· 27 avr. 2023PodcastEveryone Talks About RLHF. Almost Nobody Is Doing It.Anime : Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.
1:11:47ENUnsupervised Learning: With Jacob EffronPodcastThe Three-Hour Battlefield: Rahul Vohra on Why Email Survives and Agents Will Inherit the InboxAnime : Jacob EffronSuperhuman's CEO explains how AI features are designed, why email addresses remain company infrastructure, and how agents may federate across the tools professionals live in.
1:42:11EN
Lenny's PodcastPodcastTwenty Agents, 1.2 Humans: Inside SaaStr's AI-Run Sales TeamAnime : Lenny RachitskyJason Lemkin explains how SaaStr replaced a ten-person go-to-market team with AI agents, what it took to train them, and who survives the shift.
1:46:35ENLenny's PodcastPodcastHire Your Agents Like Employees: Claire Vo's Field Guide to Running Nine OpenClawsAnime : Lenny RachitskyClaire Vo explains how she went from losing her family calendar to OpenClaw to running a team of specialized agents across her business, podcast, course and household.
1:19:39ENLenny's PodcastPodcastEngineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 MonthsAnime : Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.