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2:49:12EN
Cognitive Revolution "How AI Changes Everything"· 18 oct 2025PódcastWhy China's Master Plan for AI Never Mentions AGIPresenta: Nathan LabenzBeijing-based Concordia AI CEO Brian Tse on China's safety rules, chip strategy, and why the two ecosystems look more alike than Washington assumes.SeguridadSeguridad y gobernanzaGeopolitics+3
2 diapositivas14:31EN
Matthew Berman· 17 oct 2025Jack Clark’s AI Warning and the Debate Over RegulationMatthew Berman · Forward FutureMatthew Berman examines an Anthropic co-founder’s warning about powerful AI, competing views of rapid progress, and California’s 2025 AI laws.AI SafetyAI RegulationAnthropic+2
3 diapositivas0:37EN
Matthew Berman· 16 oct 2025Matthew Berman Shows ChatGPT Struggling With a Seahorse EmojiMatthew Berman · Forward FutureA simple question produces repeated corrections and an inconclusive answer in two ChatGPT examples.OpenAIEvaluaciones
7 diapositivas32:22EN
Matthew Berman· 16 oct 2025Qwen 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.Modelos y entrenamientoEvaluaciones
1:29:30EN
Cognitive Revolution "How AI Changes Everything"· 14 oct 2025Pódcast2,500 Compounds and a 51 Percent Hit Rate: How a Small Graph Net Found New AntibioticsPresenta: 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.Modelos y entrenamientoAI for scienceDrug Discovery+3
Diapositivas15:43EN
Matthew Berman· 13 oct 2025How 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
6 diapositivas13:53EN
Matthew Berman· 10 oct 2025Tiny 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"· 8 oct 2025PódcastA curriculum rewrite takes five years. AI does not wait.Presenta: 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 StrategySeguridad y gobernanza+3
1:37:25EN
Cognitive Revolution "How AI Changes Everything"· 5 oct 2025PódcastFin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few PointsPresenta: 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.AgentesIngeniería de agentesGeneración aumentada por recuperación+3
9 diapositivas28:27EN
Matthew Berman· 2 oct 2025Sora 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 mediaVisión y vídeoMultimodal AI+2
1:01:49EN
Cognitive Revolution "How AI Changes Everything"· 2 oct 2025PódcastChatGPT's Co-Creator Left to Put Nature in the Reward LoopPresenta: 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.Modelos y entrenamientoAI for scienceReinforcement Learning+3
11 diapositivas26:17EN
Matthew Berman· 30 sept 202521 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"· 28 sept 2025PódcastChatGPT Is a Thousand Days Old. Emad Mostaque Says We Have About a Thousand Left.Presenta: Nathan LabenzThe Stability AI founder’s new economics argues that when intelligence is abundant, scarcity-based money and GDP stop making sense.Empresa y estrategiaAI StrategyAGI Timelines+3
2 diapositivas0:58EN
Matthew Berman· 26 sept 2025Microsoft’s Nebius GPU Infrastructure AgreementMatthew Berman · Forward FutureIn a sponsored video, Matthew Berman discusses a 2025 infrastructure agreement and Nebius’s AI services.Infraestructura y despliegueAI cost & performanceModelos y entrenamiento
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 25 sept 2025PódcastEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%Presenta: 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.Modelos y entrenamientoIA en finanzasEmbeddings+3
7 diapositivas15:29EN
Matthew Berman· 24 sept 2025Building 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.Ingeniería de agentesMulti-agent systemsAgent orchestration+2
1:02:05EN
Unsupervised Learning: With Jacob Effron· 24 sept 2025Pódcast$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the MathPresenta: 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.Empresa y estrategiaAI StrategyAI startups & small teams+3
1:28:17EN
Cognitive Revolution "How AI Changes Everything"· 20 sept 2025PódcastAdam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14Presenta: 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.SeguridadAI securitySeguridad y gobernanza+3
5 diapositivas14:47EN
Matthew Berman· 18 sept 2025AI 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
7 diapositivas16:29EN
Matthew Berman· 17 sept 2025What 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· 17 sept 2025PódcastA Name Invented at 2:30 a.m. Put Gemini on Top of the App StorePresenta: 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.Multimodal y mediosMultimodal AIGenerative media+3
4 diapositivas8:47EN
Matthew Berman· 16 sept 2025Why 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 researchObservabilidad y fiabilidad+1
4 diapositivas18:05EN
Matthew Berman· 15 sept 2025AI 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"· 13 sept 2025PódcastA transformer co-author wants a $160 million model no company ownsPresenta: 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.Infraestructura y despliegueInferenceAI security+3
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