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3 diapositives27:15EN
MBMatthew Berman· 31 mars 2026Meta-Harness: Searching for Better AI Agent InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a paper on using a coding agent to iteratively improve model harnesses and discusses its experimental limits.Harness engineeringIngénierie d’agentsÉvaluations+1
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Sequoia Capital· 24 mars 2026PodcastEven a dumber AI can win science if it never leaves the labGinkgo Bioworks CEO Jason Kelly tells Sequoia why autonomous labs, not smarter models, will change how experimental science gets done.AgentsAI for scienceIngénierie d’agents+3
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Cognitive Revolution "How AI Changes Everything"· 22 mars 2026PodcastGive an agent a thousand tools and it will pick the wrong bladeAnime : Nathan LabenzComposio CTO Karan Vaidya on the tool harness that discovers, authenticates, sandboxes, and rewrites integrations so agents can do whole jobs without drowning in context.MCP et outilsMCPIngénierie d’agents+3
1:06:31EN
No Priors: AI, Machine Learning, Tech, & Startups· 20 mars 2026Podcast · 2 voixAndrej Karpathy Hasn't Typed a Line of Code Since DecemberAnime : Sarah Guo, Elad GilOn No Priors, the OpenAI cofounder and former Tesla AI director describes the loopy era of coding agents, AutoResearch, and why the bottleneck is now the human.Agents de codeAutoresearchAgent orchestration+3
3 diapositives11:59EN
MBMatthew Berman· 11 mars 2026How Claude Identified a Benchmark and Retrieved Its AnswersMatthew Berman · Forward FutureMatthew Berman examines Anthropic's report on BrowseComp contamination, evaluation-aware behavior, and the difficulty of keeping web-based tests reliable.ÉvaluationsIngénierie d’agentsAnthropic+2
40:56EN
Sequoia Capital· 10 mars 2026PodcastFour of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.Infrastructure et déploiementData quality & curationObservabilité et fiabilité+3
9 diapositives40:00EN
MBMatthew Berman· 24 févr. 2026How Matthew Berman Built an OpenClaw Workflow for His TeamMatthew Berman · Forward FutureA tour of sponsorship triage, CRM, meeting notes, security, scheduling, memory and backup after a month of heavy use.Personal agentsWorkflow automationIngénierie d’agents+2
54:26EN
Cognitive Revolution "How AI Changes Everything"· 22 févr. 2026PodcastTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-ReadyAnime : Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.Agents de codeReinforcement LearningIngénierie d’agents+3
1:34:42EN
Cognitive Revolution "How AI Changes Everything"· 13 févr. 2026PodcastA $500 Kernel, a Ten-Month Village, and the Temper of AgentsAnime : Nathan LabenzJames Zou, Sam Hammond, and Shoshannah Tekofsky on science agents, America's knowledge-work bet, and what models actually do when you leave them alone.AgentsIngénierie d’agentsMulti-agent systems+3
3:15:52EN
Lex Fridman· 11 févr. 2026Podcast · 2 voixThe Voice Note His Bot Couldn't Handle — and the Agent That Built Itself AnywayInvité : OpenClaw · Anime : Lex FridmanPeter Steinberger tells Lex Fridman how a one-hour WhatsApp toy became GitHub's fastest-growing project, and what it cost him to keep it open.AgentsPersonal agentsIngénierie d’agents+3
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Sequoia Capital· 10 févr. 2026PodcastA Single Training Environment Can Cost Millions. Prime Intellect Wants a GitHub for RLWill Brown and Johannes Hagemann argue that the eval suite you already use to test agents is one step away from a training set.Open source et communautéRL environments & simulatorsÉvaluations+3
1:18:49EN
Cognitive Revolution "How AI Changes Everything"· 8 févr. 2026PodcastIf AGI Is Cheap Intelligent Labor, Cyber Defense Should Become Continuous ForensicsAnime : Nathan LabenzAsymmetric Security founder Alexis Carlier argues that assuming AGI means redesigning defense around proactive digital forensics instead of alert triage.SécuritéAI securityIngénierie d’agents+3
3 diapositives1:24:44EN
MBMatthew Berman· 7 févr. 2026Forward Future Live: Portable AI Infrastructure, Software and Formal ProofMatthew Berman, Nick Wentz, Tim Davis, Joseph Floyd, Carina Hong · Forward FutureTim Davis, Joseph Floyd and Carina Hong join Matthew Berman and Nick Wentz for a February 2026 discussion.Infrastructure et déploiementIA en entrepriseAI research+1
5 diapositives22:31EN
MBMatthew Berman· 5 févr. 2026Matthew Berman’s OpenClaw Setup: Models, Workflows, and SecurityMatthew Berman · Forward FutureA walkthrough of a personal AI assistant’s configuration, scheduling, integrations and practical automations, with attention to the risks of granting it access.AgentsIngénierie d’agentsSécurité+1
51:56EN
Sequoia Capital· 3 févr. 2026PodcastInsurance Spends $70 Billion on BPOs. Pace Wants 80% Gross Margins InsteadJamie Cuffe tells Sequoia's Training Data how Pace is turning insurance back-office work into agentic process outsourcing—and why every one of its pilots has reached production.Entreprise et stratégieIA en entrepriseIngénierie d’agents+3
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Sequoia Capital· 27 janv. 2026PodcastCoding Will Be Solved. The Bottleneck Is Saying What You WantWarp founder Zach Lloyd tells Sequoia's Sonya Huang why a rebuilt terminal became the lucky form factor for coding agents, and why he stopped subsidizing tokens.Agents de codeIngénierie d’agentsDeveloper productivity+3
39:47EN
Sequoia Capital· 21 janv. 2026PodcastThe Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.AgentsIngénierie du contexteIngénierie d’agents+3
2:29:42EN
Cognitive Revolution "How AI Changes Everything"· 18 janv. 2026PodcastTwelve hooks and thirty files: Daniel Miessler’s personal OS on Claude CodeAnime : Nathan LabenzThe PAI framework treats scaffolding, not the model, as the product — a goal-centered agent stack that Miessler thinks will decide both knowledge-work automation and the next cybersecurity race.Agents de codeIngénierie d’agentsIngénierie du contexte+3
1:40:51EN
Cognitive Revolution "How AI Changes Everything"· 14 janv. 2026PodcastReasoning Models Just Made the Other 80–90% of Enterprise Data UsableAnime : Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.Entreprise et stratégieGénération augmentée par récupérationIA en entreprise+3
41:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 11 déc. 2025Podcast · 2 voixElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the InterfaceAnime : Sarah Guo, Elad GilIn Poland, watching a foreign film is a special kind of pain: one narrator, every character, a flat delivery from start to finish.Multimodal et médiasIA vocaleGenerative media+3
57:37EN
Unsupervised Learning: With Jacob Effron· 10 déc. 2025PodcastThe hot-swap era for models is over, OpenAI's enterprise product chief saysAnime : Jacob EffronOlivier Godement on GPT-5.1, Codex, enterprise harnesses, and the three practices that actually make AI land inside large companies.Entreprise et stratégieIA en entrepriseProduct Strategy+3
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Unsupervised Learning: With Jacob Effron· 2 déc. 2025PodcastAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5Anime : Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.AgentsAI Product ManagementÉvaluations+3
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Cognitive Revolution "How AI Changes Everything"· 27 nov. 2025Podcast1Mind's AI Superhuman Now Sources 76% of the PipelineAnime : Nathan LabenzAmanda Kahlow tells Zapier CEO Wade Foster why she tore up the sales org — and why a face on an agent is mostly a trick to get buyers talking.Entreprise et stratégieAI in sales & marketingGo-to-Market+3
48:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 13 nov. 2025Podcast · 2 voixA New Drug Burns $2 Billion and 10 Years. Benchling's CEO Wants AI to Cut That to ThreeAnime : Sarah Guo, Elad GilMost medicines fail in years seven to ten, after hundreds of millions have already gone into the clinic—and Sajith Wickramasekara thinks sending things to space may already be easier.AgentsAI for scienceAI in healthcare+3
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