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1,383 件
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スライド 3 枚0:37EN
Matthew Berman· 2025年10月16日Matthew Berman Shows ChatGPT Struggling With a Seahorse EmojiMatthew Berman · Forward FutureA simple question produces repeated corrections and an inconclusive answer in two ChatGPT examples.OpenAI評価(Evals)
スライド 7 枚32:22EN
Matthew Berman· 2025年10月16日Qwen Image Edit Plus Compared With Nano Banana, Seedream and GPT Image 1Matthew Berman · Forward FutureMatthew Berman compares four image-editing models across compositing, precise edits, style transfer, object removal and weather effects.モデルと学習評価(Evals)
1:29:30EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月14日ポッドキャスト2,500 Compounds and a 51 Percent Hit Rate: How a Small Graph Net Found New Antibioticsホスト Nathan LabenzMIT's Jim Collins tells Nathan Labenz how a bootlegged 2018 project, a binary growth-inhibition label, and Chemprop graph networks pulled novel antibiotics out of chemical space that labs could never screen by hand.モデルと学習AI for scienceDrug Discovery+3
スライド15:43EN
Matthew Berman· 2025年10月13日How AI Data Centers Work: Power, Cooling and Community TradeoffsMatthew Berman · Forward FutureMatthew Berman explains the physical infrastructure behind AI prompts, from accelerator racks and backup power to water use and local planning.EnergySemiconductorsDistributed training & inference
スライド 6 枚13:53EN
Matthew Berman· 2025年10月10日Tiny Recursive Models and the Limits of Puzzle Benchmark ComparisonsMatthew Berman · Forward FutureMatthew Berman examines a small recursive network that reports strong ARC and Sudoku results, and what its experimental setup means.AI researchBenchmarksReasoning & test-time compute+1
1:53:50EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月8日ポッドキャストA curriculum rewrite takes five years. AI does not wait.ホスト Nathan LabenzJohan Falk, a Swedish teacher-turned-analyst, argues that AI literacy and AI friends are more urgent than putting a tutor in every classroom.AI in EducationAI Strategy安全性とガバナンス+3
1:37:25EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月5日ポッドキャストFin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few Pointsホスト Nathan LabenzEoghan McCabe and Fergal Reid on production A/B tests, 99-cent outcome pricing, and why GPT-4 was already smart enough for most customer service.エージェントエージェント工学検索拡張生成(RAG)+3
1:01:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月2日ポッドキャストChatGPT's Co-Creator Left to Put Nature in the Reward Loopホスト Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.モデルと学習AI for scienceReinforcement Learning+3
スライド 11 枚26:17EN
Matthew Berman· 2025年9月30日21 Practical AI Uses for Design, Work and ResearchMatthew Berman · Forward FutureMatthew Berman demonstrates ways to use image tools, ChatGPT and NotebookLM for visual concepts, research, everyday work and study.Generative mediaProductivityWorkflow automation+2
2:20:35EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月28日ポッドキャストChatGPT Is a Thousand Days Old. Emad Mostaque Says We Have About a Thousand Left.ホスト Nathan LabenzThe Stability AI founder’s new economics argues that when intelligence is abundant, scarcity-based money and GDP stop making sense.企業と戦略AI StrategyAGI Timelines+3
スライド 2 枚0:58EN
Matthew Berman· 2025年9月26日Microsoft’s Nebius GPU Infrastructure AgreementMatthew Berman · Forward FutureIn a sponsored video, Matthew Berman discusses a 2025 infrastructure agreement and Nebius’s AI services.インフラとデプロイAI cost & performanceモデルと学習
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月25日ポッドキャストEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%ホスト Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.モデルと学習金融 AIEmbeddings+3
スライド 7 枚15:29EN
Matthew Berman· 2025年9月24日Building a Multi-Agent Research Team with Strands AgentsMatthew Berman · Forward FutureMatthew Berman builds from a calculator agent to a multi-agent business-report demo, with examples of tools, model selection and orchestration.エージェント工学Multi-agent systemsAgent orchestration+2
1:02:05EN
Unsupervised Learning: With Jacob Effron· 2025年9月24日ポッドキャスト$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the Mathホスト Jacob EffronDatology’s Ari Morcos and Radical Ventures’ Rob Toews argue over whether models are plateauing, whether RL-environment startups will last, and why Google is the lab they would pick.企業と戦略AI StrategyAI startups & small teams+3
1:28:17EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月20日ポッドキャストAdam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14ホスト Nathan LabenzFAR.AI and the UK AI Security Institute stacked adversarial attacks on frontier safeguard pipelines and found many breakthroughs were engineering failures, not a verdict against defense in depth.セキュリティと安全性AI security安全性とガバナンス+3
スライド 5 枚14:47EN
Matthew Berman· 2025年9月18日AI News in September 2025: OpenAI’s Programming Test, Meta’s REFRAG and New Agent ToolsMatthew Berman · Forward FutureMatthew Berman surveys competition results, efficient retrieval, agent payments, 3D worlds and model launches, alongside updates on Waymo and AI video. The episode distinguishes announcements, research claims and rumors from established outcomes.AI researchAI agentsBenchmarks+2
42:20EN
Unsupervised Learning: With Jacob Effron· 2025年9月17日ポッドキャストA Name Invented at 2:30 a.m. Put Gemini on Top of the App Storeホスト Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.マルチモーダルとメディアMultimodal AIGenerative media+3
スライド 4 枚8:47EN
Matthew Berman· 2025年9月16日Why Identical LLM Prompts Can Produce Different Answers at Temperature ZeroMatthew Berman · Forward FutureMatthew Berman explains Thinking Machines Lab’s work on batch-invariant inference and what its reproducibility experiment actually showed.InferenceAI researchオブザーバビリティと信頼性+1
1:32:47EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月13日ポッドキャストA transformer co-author wants a $160 million model no company ownsホスト 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.インフラとデプロイInferenceAI security+3
1:44:35EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月11日ポッドキャストJoe Hudson: $500 Billion Went Into AI, and Nobody Defined 'Good for Humanity'ホスト Nathan LabenzSam Altman says the OpenAI coach's superpower is emotional clarity — and that it will be one of the most critical skills in a post-AGI world.企業と戦略安全性とガバナンスHuman-AI Collaboration+3
59:06EN
Unsupervised Learning: With Jacob Effron· 2025年9月10日ポッドキャストInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't Holdホスト Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.インフラとデプロイInferenceAI cost & performance+3
3:14:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月6日ポッドキャストNothing This Summer Jumped the Curve: Why Zvi Lengthened His AGI Timelinesホスト Nathan LabenzOn his tenth visit to The Cognitive Revolution, Zvi Mowshowitz argues that GPT-5 and IMO gold stayed on trend, while chip policy, energy, and reinforcement learning nudged his p(doom) slightly up.セキュリティと安全性AGI Timelines安全性とガバナンス+3
1:51:39EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月3日ポッドキャストA native ad engine for AI—and the questions it cannot dodgeホスト Nathan LabenzRyan Hudson, who sold Honey to PayPal for $4 billion, joins Nathan Labenz to explain ZeroClick’s bet on paid inference-time ads, and the societal incentives he has not yet had to confront.企業と戦略AI in sales & marketingProduct Strategy+3
1:55:02EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月30日ポッドキャストA hundred experiments a day, and the valley of death in materialsホスト Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.エージェントAI for scienceAutonomous Systems+3
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