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슬라이드15:43EN
Matthew Berman· 2025년 10월 13일How 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
슬라이드 6장13:53EN
Matthew Berman· 2025년 10월 10일Tiny 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"· 2025년 10월 8일팟캐스트A curriculum rewrite takes five years. AI does not wait.진행자 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 Strategy안전과 거버넌스+3
1:37:25EN
Cognitive Revolution "How AI Changes Everything"· 2025년 10월 5일팟캐스트Fin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few Points진행자 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.에이전트에이전트 엔지니어링검색 증강 생성(RAG)+3
슬라이드 9장28:27EN
Matthew Berman· 2025년 10월 2일Sora 2 in Practice: Cameos, Camera Direction and Video Generation ErrorsMatthew Berman · Forward FutureMatthew Berman surveys early Sora 2 clips, testing likenesses, hands, motion, graphics and physics while pointing out where the generated scenes break down.Generative media비전과 영상Multimodal AI+2
1:01:49EN
Cognitive Revolution "How AI Changes Everything"· 2025년 10월 2일팟캐스트ChatGPT's Co-Creator Left to Put Nature in the Reward Loop진행자 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.모델과 학습AI for scienceReinforcement Learning+3
슬라이드 11장26:17EN
Matthew Berman· 2025년 9월 30일21 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"· 2025년 9월 28일팟캐스트ChatGPT Is a Thousand Days Old. Emad Mostaque Says We Have About a Thousand Left.진행자 Nathan LabenzThe Stability AI founder’s new economics argues that when intelligence is abundant, scarcity-based money and GDP stop making sense.기업과 전략AI StrategyAGI Timelines+3
슬라이드 2장0:58EN
Matthew Berman· 2025년 9월 26일Microsoft’s Nebius GPU Infrastructure AgreementMatthew Berman · Forward FutureIn a sponsored video, Matthew Berman discusses a 2025 infrastructure agreement and Nebius’s AI services.인프라와 배포AI cost & performance모델과 학습
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 25일팟캐스트Every payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%진행자 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.모델과 학습금융 AIEmbeddings+3
슬라이드 7장15:29EN
Matthew Berman· 2025년 9월 24일Building 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.에이전트 엔지니어링Multi-agent systemsAgent orchestration+2
1:02:05EN
Unsupervised Learning: With Jacob Effron· 2025년 9월 24일팟캐스트$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the Math진행자 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.기업과 전략AI StrategyAI startups & small teams+3
1:28:17EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 20일팟캐스트Adam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14진행자 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.보안과 안전AI security안전과 거버넌스+3
슬라이드 5장14:47EN
Matthew Berman· 2025년 9월 18일AI 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
슬라이드 7장16:29EN
Matthew Berman· 2025년 9월 17일What Anthropic’s 2025 Economic Index Says About AI Adoption and WorkMatthew Berman · Forward FutureMatthew Berman explores Claude usage across tasks, countries and businesses, and considers what uneven adoption could mean for workers and inequality.AI AdoptionFuture of WorkAnthropic+2
42:20EN
Unsupervised Learning: With Jacob Effron· 2025년 9월 17일팟캐스트A Name Invented at 2:30 a.m. Put Gemini on Top of the App Store진행자 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.멀티모달과 미디어Multimodal AIGenerative media+3
슬라이드 4장8:47EN
Matthew Berman· 2025년 9월 16일Why 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 research관측 가능성과 안정성+1
슬라이드 4장18:05EN
Matthew Berman· 2025년 9월 15일AI News: Qwen3-Max, OpenAI’s Restructuring and New Research ModelsMatthew Berman · Forward FutureMatthew Berman surveys September 2025 releases and reports, from silent speech and image generation to infrastructure and AI business deals.Foundation ModelsAI StrategyGenerative media+2
1:32:47EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 13일팟캐스트A transformer co-author wants a $160 million model no company owns진행자 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.인프라와 배포InferenceAI security+3
1:44:35EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 11일팟캐스트Joe Hudson: $500 Billion Went Into AI, and Nobody Defined 'Good for Humanity'진행자 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.기업과 전략안전과 거버넌스Human-AI Collaboration+3
59:06EN
Unsupervised Learning: With Jacob Effron· 2025년 9월 10일팟캐스트Inference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't Hold진행자 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.인프라와 배포InferenceAI cost & performance+3
3:14:49EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 6일팟캐스트Nothing This Summer Jumped the Curve: Why Zvi Lengthened His AGI Timelines진행자 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.보안과 안전AGI Timelines안전과 거버넌스+3
슬라이드 7장15:26EN
Matthew Berman· 2025년 9월 4일September 2025 AI News: xAI Litigation, Microsoft Models, Anthropic and Medical ResearchMatthew Berman · Forward FutureMatthew Berman reviews model releases, company funding, an antitrust ruling, robot demos and a study of subtle movement in brain-injured patients.AI researchAI in healthcareFoundation Models+2
1:51:39EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 3일팟캐스트A native ad engine for AI—and the questions it cannot dodge진행자 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.기업과 전략AI in sales & marketingProduct Strategy+3
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