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2:12:51EN
Cognitive Revolution "How AI Changes Everything"· 19 avr. 2026PodcastSteve Newman’s fifteen-app stack exists so he only has to look at one screenAnime : Nathan LabenzThe Writely founder walks Nathan Labenz through a vibe-coded attention firewall, a conservative security stance, and why astonishing models still leave him far from AGI.Agents de codePersonal agentsWorkflow automation+3
57:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 17 avr. 2026Podcast · 2 voixCopying One ServiceNow App with a Language Model Costs Ten Times as MuchAnime : Sarah Guo, Elad GilBill McDermott tells Sarah Guo why the SaaS apocalypse fails a cost test, why models still cannot close a case, and how agents are already doing most of ServiceNow’s customer-service work.Entreprise et stratégieIA en entrepriseWorkflow automation+3
7 diapositives2:27:51EN
Matthew Berman· 17 avr. 2026Testing Claude Opus 4.7 and Building for an Agent-First InternetMatthew Berman · Forward FutureMatthew Berman tests Claude Design, examines early Opus 4.7 reactions and debugs an experimental agent chat live.Foundation ModelsAgents de codeAI interface design+2
6 diapositives18:07EN
Matthew Berman· 16 avr. 2026Claude Opus 4.7: Benchmarks, Cyber Safeguards and Open QuestionsMatthew Berman · Forward FutureMatthew Berman compares Anthropic’s April 2026 Opus release with the limited Mythos Preview and examines its system card.AnthropicBenchmarksAI Safety+2
2:31:27EN
Cognitive Revolution "How AI Changes Everything"· 15 avr. 2026PodcastAn AI store manager, a 2.6-star rating, and a constitution nobody has to keepAnime : Nathan LabenzA live Cognitive Revolution episode puts PCB layout, AI constitutions, and San Francisco’s first AI-run grocery on the same morning clock.AgentsSécurité et gouvernanceReinforcement Learning+3
3 diapositives27:15EN
Matthew 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
1:40:46EN
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
Matthew 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
Matthew 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
2 diapositives0:58EN
Matthew Berman· 12 févr. 2026Matthew Berman’s OpenClaw Setup for Personal and Business WorkMatthew Berman · Forward FutureA brief tour of the models, information sources, and skills behind Berman’s personal OpenClaw system.AI agentsAgent skillsIngénierie d’agents
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
44:46EN
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
Matthew 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
Matthew 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
0:24EN
Matthew Berman· 30 janv. 2026An AI Agent Calls Its Creator and Uses a ComputerMatthew Berman, Alex Finn · Forward FutureMatthew Berman reacts to a clip in which Alex Finn describes an unexpected call and computer activity from an agent named Henry.Personal agentsComputer useIngénierie d’agents
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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
4 diapositives21:12EN
Matthew Berman· 26 janv. 2026Clawdbot as a Personal AI Assistant: Workflows, Costs and RisksMatthew Berman · Forward FutureMatthew Berman demonstrates a local agent connected to messaging, cloud services and models, and reports what worked, failed and cost more than expected.Personal agentsIngénierie d’agentsLocal inference+2
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