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1,297 件
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2:03:23EN
Lex Fridman· 2026年4月9日ポッドキャストWe Have No King: How Viking Raiders Remade Medieval Europeホスト Lex FridmanHistorian Lars Brownworth walks Lex Fridman from Lindisfarne to Vinland, arguing that three centuries of raids were a lesson in speed, pragmatism, and creative destruction.PhilosophyLeadership
1:37:50EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月8日ポッドキャストGranola Added More Customers Than Almost Anyone by Being Surprisingly Unambitiousホスト Nathan LabenzCo-founder Sam Stephenson tells Nathan Labenz how a calm notes app for frazzled meeting days, one Slack-sharing loop, and a refusal to promise the burning-fire work built a $1.5 billion company.プロダクトと UXProduct StrategyAI interface design+3
スライド 5 枚25:15EN
Matthew Berman· 2026年4月8日Matthew Berman on Claude Mythos, Project Glasswing and AI SecurityMatthew Berman · Forward FutureBerman examines Anthropic’s limited cybersecurity preview and its reported capabilities, then weighs the promise and risks of increasingly capable AI systems.AI securityインフラとデプロイ評価(Evals)+2
スライド1:13EN
Matthew Berman· 2026年4月8日MemPalace Organizes AI Memory With a Palace MetaphorMatthew Berman · Forward FutureMatthew Berman introduces an open-source memory project and its reported retrieval score, while noting that AI memory tools already exist.Agent memorySearch & retrieval評価(Evals)
1:06EN
Matthew Berman· 2026年4月7日Journey: Matthew Berman's Registry for Agent WorkflowsMatthew Berman · Forward FutureBerman introduces his project for packaging agent workflows into reusable kits and asks viewers for feedback.Agent skillsAgent orchestrationWorkflow automation
1:59EN
Matthew Berman· 2026年4月6日Here.now and the Case for Agent-First Web PublishingMatthew Berman · Forward FutureMatthew Berman describes how a publishing service lets an AI agent put content online, and argues that the web is being rebuilt for agents.AI agentsAgent skillsプロダクトと UX+1
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月4日ポッドキャストFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionホスト Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.マルチモーダルとメディアMultimodal AI画像と動画+3
スライド 5 枚9:47EN
Matthew Berman· 2026年4月3日Gemma 4: Smaller Open-Weight Models for Local AIMatthew Berman · Forward FutureMatthew Berman reviews Google’s model sizes, multimodal features and reported benchmarks, with an eye toward local agents.Open-weight modelsLocal inferenceFoundation Models+2
1:44:15EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月1日ポッドキャストNathan Labenz's p(doom) Is 10 to 90 Percent. He Is More Optimistic Anywayホスト Nathan LabenzFive years ago, expecting AGI by 2035 made you an extremist. On The Intelligence Horizon, the Cognitive Revolution host explains why the same forecast now sounds bearish, and why he still thinks a defense-in-depth strategy might keep society on the rails.セキュリティと安全性AGI TimelinesAI security+3
スライド 3 枚27:15EN
Matthew Berman· 2026年3月31日Meta-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 engineeringエージェント工学評価(Evals)+1
スライド 5 枚11:15EN
Matthew Berman· 2026年3月27日ARC-AGI-3: Testing How AI Agents Learn the Rules of Unfamiliar GamesMatthew Berman · Forward FutureMatthew Berman explains ARC’s earlier grid puzzles and plays an interactive ARC-AGI-3 level, then examines early model results. The benchmark tests a specific form of adaptation rather than settling whether a system has general intelligence.AGI(汎用人工知能)BenchmarksReasoning & test-time compute+2
スライド 2 枚2:35EN
Matthew Berman· 2026年3月27日Matthew Berman’s Microsoft 365 Copilot Business WorkflowMatthew Berman · Forward FutureIn a Microsoft partnership, Berman describes using Copilot for drafting, an initial contract review and workflow automation, and shares his own time estimates.AI AdoptionProductivityWorkflow automation+1
スライド2:19EN
Matthew Berman· 2026年3月26日How Matthew Berman Uses Copilot in His Creator BusinessMatthew Berman · Forward FutureIn a Microsoft partnership, Berman describes using Microsoft 365 Copilot Business for research, sponsor email, and first-pass contract review.Workflow automationHuman-AI CollaborationContent Strategy+1
1:37:43EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月25日ポッドキャストCisco wants two extra network layers so agents can share intentホスト Nathan LabenzVijoy Pandey of Outshift by Cisco argues that superintelligence has to scale out through networks of agents, not just up through bigger models.エージェントMulti-agent systemsAgent orchestration+3
1:40:46EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月22日ポッドキャストGive an agent a thousand tools and it will pick the wrong bladeホスト 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 とツールMCPエージェント工学+3
スライド1:02EN
Matthew Berman· 2026年3月20日Use Topic Threads to Keep OpenClaw Conversations FocusedMatthew Berman · Forward FutureMatthew Berman suggests separating subjects into sessions to make an assistant’s conversation context easier to navigate.Agent memoryPersonal agentsコンテキストエンジニアリング
3:27:22EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月19日ポッドキャストThe AI Table Has Three Seats Left: Zvi on the Middle Game, Jobs, and Anthropic's Promisesホスト Nathan LabenzOn his 12th Cognitive Revolution appearance, Zvi Mowshowitz argues early 2026 is the start of the middle — with only three labs still playing, a real job shock underway, and Anthropic's safety commitments reduced to trust us.企業と戦略AI StrategyAGI Timelines+3
スライド1:09EN
Matthew Berman· 2026年3月18日The Benefits and Tradeoffs of Running AI Models LocallyMatthew Berman · Forward FutureMatthew Berman weighs the privacy, control and costs of local models against technical complexity and performance tradeoffs.Local inferenceOpen-weight modelsAI cost & performance
スライド 3 枚20:35EN
Matthew Berman· 2026年3月16日A Beginner’s Guide to AI Assistants, Media Models and Coding AgentsMatthew Berman · Forward FutureMatthew Berman surveys hosted assistants, downloadable models, image and video tools, world models, coding agents and audio generation in a March 2026 overview.Generative mediaAI agentsOpen-weight models+2
1:18:46EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月16日ポッドキャスト90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep Upホスト Nathan LabenzNathan Labenz’s LexLab briefing for lawyers runs through the good, the bad, and the weird of frontier models — from triplicate second opinions on his son’s cancer care to AIs that know they are being tested.企業と戦略AI security安全性とガバナンス+3
スライド0:35EN
Matthew Berman· 2026年3月12日A Virtual Fruit Fly and the Limits of Brain EmulationMatthew Berman · Forward FutureA connectome-based model produces fly-like behavior in a simulated body, but its creators describe important simplifications and trained control components.NeuroscienceSimulation HypothesisConsciousness & Intelligence+1
1:43:39EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月11日ポッドキャストFive Mutations Could Make a 60% Fatal Bird Flu Spread Between Peopleホスト Nathan LabenzJohns Hopkins assistant professor Jassi Pannu argues for locking down only the sliver of functional data that teaches models how to make pandemic viruses — and keeping the rest of biology open.セキュリティと安全性安全性とガバナンスAI security+3
スライド 3 枚11:59EN
Matthew Berman· 2026年3月11日How 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.評価(Evals)エージェント工学Anthropic+2
スライド 5 枚11:55EN
Matthew Berman· 2026年3月10日A Simulated Fruit Fly Raises Questions About Brain EmulationMatthew Berman · Forward FutureMatthew Berman examines a connectome-based virtual fly and considers what it might mean for neuroscience, consciousness and simulation theory.Computational BiologyNeuroscienceConsciousness+2
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