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46 件
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スライド 3 枚13:21EN
Adrian Twarog· 2026年10月21日Adrian Twarog: Giving Enterprise Vibe Coding a Governed Path to ProductionAdrian TwarogA Superblocks walkthrough shows how shared integrations, isolated databases, policy agents and audit logs can bring business-built AI apps under IT oversight.Vibe Codingエンタープライズ AIAI security+2
スライド 5 枚12:14EN
MBMatthew Berman· 2026年10月14日Gemini 4 Argon Tested: 3D Demos, a Spreadsheet Prototype and Benchmark ResultsMatthew Berman · Forward FutureMatthew Berman tests Google’s model on games and visual projects, then compares reported coding and agent benchmarks.GeminiBenchmarksコーディングエージェント+1
スライド 5 枚10:36EN
MBMatthew Berman· 2026年10月13日Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.モデルと学習BenchmarksAI cost & performance+1
12:49EN
OpenAI· 2026年10月7日Alex Mashrabov: Higgsfield agents that choose models and launch their own GPUsAlex Mashrabov · HiggsfieldAt OpenAI DevDay 2026, Higgsfield's CEO walks through why a continuous media experience needs an agent that picks models, scores its own output, and provisions GPUs — including a live 10-hour AI stream small teams can now ship.エージェントインフラとデプロイGenerative media+2
13:12EN
OpenAI· 2026年10月7日Alexandra Lato on Building Stack Overflow for Agents and Stack Internal with CodexAarti Bagul, Alexandra Lato · OpenAIStack Overflow’s VP of Product explains how a small team used Codex with opposite constraints on two products—and why agent-native design means letting agents contribute knowledge, not just read it.コーディングエージェントエンタープライズ AIエージェント+2
スライド 4 枚10:00EN
MBMatthew Berman· 2026年9月30日OpenAI DevDay: Dots, Faster Inference, Codex and ChatGPT SpaceMatthew Berman · Forward FutureMatthew Berman reviews the event’s personal assistant, model, developer tooling and collaboration announcements.OpenAIPersonal agentsコーディングエージェント+1
スライド 4 枚10:38EN
MBMatthew Berman· 2026年9月24日Jev Use Cases: Fast Decisions for Search, Email and Dynamic InterfacesMatthew Berman · Forward FutureMatthew Berman explains a decision-oriented AI tool and shows projects that use many low-latency classifications.Workflow automationAI interface designStructured outputs+1
スライド 2 枚0:18EN
MBMatthew Berman· 2026年2月19日Gemini 3.1 Pro’s Pelican and Frog SVG ComparisonsMatthew Berman · Forward FutureMatthew Berman reacts to two side-by-side animated SVG examples.GeminiGenerative media
スライド 2 枚10:45EN
MBMatthew Berman· 2025年11月13日World Labs Marble: Generate and Edit Navigable 3D WorldsMatthew Berman · Forward FutureMatthew Berman demos Marble’s multimodal inputs, scene editing and 3D navigation, including an attempt to recreate his office from one image.World modelsGenerative mediaMultimodal AI
スライド 4 枚13:30EN
3Blue1Brown· 2025年8月17日How AlphaGeometry Combines Logical Proof with Creative ConstructionAleph0Aleph0 explains how a symbolic geometry solver gets surprisingly far without AI, and how a language model supplies the auxiliary constructions that take it to Olympiad level.MathematicsReasoning & test-time computeAI research+2
6:17EN
Lex Fridman· 2024年11月1日ポッドキャストGSP would rather street-fight Ngannou than Bas Ruttenホスト Lex FridmanAfter their podcast, Georges St-Pierre walks Lex Fridman through a short clinic on surprise, dirty targets, knives, and why a UFC title is worthless against a blade.Martial ArtsCombat SportsDecision Making
4:56EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月1日ポッドキャストIf the Mind Is a Tool, AI Looks Less Like a Threatホスト Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.エージェントエージェント工学Knowledge graphs+3
11:26EN
Lex Fridman· 2020年4月11日ポッドキャスト · 2 人Richard Dawkins on Memes, the Internet and Why Wrong Ideas Spreadゲスト Richard Dawkins · ホスト Lex FridmanThe man who coined the word explains to Lex Fridman what makes a meme more than a metaphor, why the internet is a step change for ideas, and why an idea, like a peacock's tail, doesn't need to be true or useful to spread.EvolutionSocial MediaPhilosophy of Science
12:42EN
Lex Fridman· 2020年3月28日ポッドキャスト · 2 人The Experience Machine: What Our Refusal to Plug In Says About What We Valueゲスト Nick Bostrom · ホスト Lex FridmanNick Bostrom unpacks Robert Nozick's experience machine, the status quo effect behind our answers, and whether a simulation convincing enough to feel real would have to contain real minds.PhilosophyPhilosophy of MindConsciousness & Intelligence+2
14:55EN
Lex Fridman· 2019年10月29日ポッドキャスト · 2 人Kasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the Questionsゲスト Garry Kasparov · ホスト Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.AI HistoryPhilosophyHuman-AI Collaboration+3
9:59EN
Lex FridmanポッドキャストIs Language or Vision Harder? Ilya Sutskever on the Unity of Machine Learningホスト Lex FridmanIn a short clip from his 2020 conversation with Lex Fridman, Ilya Sutskever explains why vision, language and reinforcement learning share the same few principles, and why asking which problem is harder is the wrong question.モデルと学習機械学習の基礎Deep Learning+3
10:20EN
Lex Fridmanポッドキャスト · 2 人How C++ Is Standardized: Votes, Consensus and the Move to a Three-Year Release Cycleゲスト Bjarne Stroustrup · ホスト Lex FridmanBjarne Stroustrup explains how the ISO committee works, why C++0x slipped to C++11, and how shorter cycles made C++14, C++17 and C++20 arrive on time.オープンソースとコミュニティProgramming LanguagesSoftware engineering+1
13:55EN
Lex FridmanポッドキャストResistance Is the Ego's Voice: Steven Pressfield on Fear, the Self and the Next Ideaホスト Lex FridmanSteven Pressfield explains where the force he calls Resistance comes from and why the real fight happens at the most mundane level.PhilosophyCreativityPsychology
11:51EN
Lex FridmanポッドキャストBuilding a Brain: Paola Arlotta on the Choreography of Human Brain Developmentホスト Lex FridmanA Harvard stem cell biologist walks through how the embryo builds the cerebral cortex, why order and environment matter, and why development continues into our twenties.Neuroscience & AIComputational BiologyNeuroscience+1
11:11EN
Lex Fridmanポッドキャスト · 2 人Yann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not Generalゲスト Yann Lecun · ホスト Lex FridmanIn a 2019 clip, LeCun defends benchmarks as a test of AI claims, explains why interactive environments break the usual train-test protocol, and argues that "general intelligence" is a misnomer.モデルと学習BenchmarksAGI(汎用人工知能)+3
14:49EN
Lex FridmanポッドキャストElon Musk Rates Memes and Ends Up Defending Nuclear Power, the British Museum and the Cheeseburgerホスト Lex FridmanIn a lighthearted excerpt from his conversation with Lex Fridman, Elon Musk scores a stack of printed memes on a one-to-eleven scale and gives serious answers whenever a joke touches a real topic.Science CommunicationHistory
10:17EN
Lex FridmanポッドキャストWhy Great Robots Fail as Businesses, and What iRobot Got Rightホスト Lex FridmaniRobot co-founder Colin Angle explains why so many robotics companies collapse and how cost, vision and a clear user need shaped the Roomba.プロダクトと UXCompany BuildingProduct-Market Fit+3
14:41EN
Lex Fridmanポッドキャスト · 2 人Talking for 20 Minutes: How the Alexa Prize Turns Real Customers into a Testbed for Conversational AIゲスト Rohit Prasad · ホスト Lex FridmanRohit Prasad, head scientist of Amazon Alexa, explains the Alexa Prize grand challenge, how it is judged and why true conversation still needs reasoning.プロダクトと UX音声 AIAI research+3
11:41EN
Lex Fridmanポッドキャスト · 2 人Teaching Machines Humility: Stuart Russell on Escaping the King Midas Problemゲスト Stuart Russell · ホスト Lex FridmanIn a short clip from a 2018 conversation, Berkeley's Stuart Russell explains why fixed objectives make superintelligent AI dangerous and why uncertainty about our goals is the fix.セキュリティと安全性安全性とガバナンスExistential Risk+3
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