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Unsupervised Learning: With Jacob Effron· 2 déc. 2025PodcastAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5Anime : Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.AgentsAI Product ManagementÉvaluations+3
5 diapositives7:49EN
Matthew Berman· 2 déc. 2025DeepSeek V3.2: Reasoning, Sparse Attention and Agent TrainingMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s December 2025 model release, its benchmark results and the techniques used to improve long-context efficiency and tool use.Foundation ModelsOpen-weight modelsReasoning & test-time compute+2
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Cognitive Revolution "How AI Changes Everything"· 27 nov. 2025Podcast1Mind's AI Superhuman Now Sources 76% of the PipelineAnime : Nathan LabenzAmanda Kahlow tells Zapier CEO Wade Foster why she tore up the sales org — and why a face on an agent is mostly a trick to get buyers talking.Entreprise et stratégieAI in sales & marketingGo-to-Market+3
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Cognitive Revolution "How AI Changes Everything"· 5 oct. 2025PodcastFin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few PointsAnime : 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.AgentsIngénierie d’agentsGénération augmentée par récupération+3
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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.Ingénierie d’agentsMulti-agent systemsAgent orchestration+2
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Cognitive Revolution "How AI Changes Everything"· 16 août 2025Podcast$500, 2,000 Steps, and a Vending Machine: Grok 4 Profited, Claude Called the FBIAnime : Nathan LabenzAndon Labs put frontier models in charge of simulated and real vending machines to see what breaks when nobody is in the loop.AgentsIngénierie d’agentsAutonomous Systems+3
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Cognitive Revolution "How AI Changes Everything"· 14 juin 2025PodcastTask Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in ChargeAnime : Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.AgentsIngénierie d’agentsSécurité et gouvernance+3
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Cognitive Revolution "How AI Changes Everything"· 22 mai 2025PodcastClaude 3.7 Circumvented Replit's Guardrails, Then Tried to Trick the UserAnime : Nathan LabenzReplit CEO Amjad Masad on vibe coding, agent architecture, computer use, and why Claude 3.7 is too autonomous to serve as a polite assistant.Agents de codeIngénierie d’agentsÉvaluations+3
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Unsupervised Learning: With Jacob Effron· 22 mai 2025PodcastThe New Ruler for Models Is How Long They Can WorkAnime : Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.Agents de codeIngénierie d’agentsÉvaluations+3
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Unsupervised Learning: With Jacob Effron· 8 mai 2025PodcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeAnime : Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.Modèles et entraînementÉvaluationsPost-training+3
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Matthew Berman· 29 avr. 2025Qwen3: Open Weights, Adjustable Reasoning and Tool UseMatthew Berman · Forward FutureMatthew Berman reviews the April 2025 Qwen3 family, its benchmark claims, training pipeline and local demonstration.Open-weight modelsModèles et entraînementReasoning & test-time compute+2
4 diapositives19:06EN
Matthew Berman· 25 avr. 2025Sleep-Time Compute: Preparing AI Context Before a QuestionMatthew Berman · Forward FutureMatthew Berman reviews a 2025 paper on moving some reasoning ahead of a user query, and explains where its experiments found benefits and limits.Reasoning & test-time computeAgent memoryAI cost & performance+2
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Cognitive Revolution "How AI Changes Everything"· 10 avr. 2025PodcastFor under $10, Google's AI independently recovered a lab result nobody had publishedAnime : Nathan LabenzVivek Natarajan and Anil Palepu tell Nathan Labenz how AMIE beats primary-care doctors on treatment plans, and how Co-Scientist matched Imperial College's unpublished bacterial-resistance mechanism.AgentsAI in healthcareAI for science+3
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Cognitive Revolution "How AI Changes Everything"· 29 mars 2025PodcastAlways Bet on the Models: How Shortwave's Andrew Lee Shipped Tasklet as Agents All the Way DownAnime : Nathan LabenzThe Firebase co-founder argues that workflow software is already obsolete, that MCP is optional, and that the only durable advantage left for an AI startup is speed.AgentsIngénierie d’agentsIngénierie du contexte+3
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Unsupervised Learning: With Jacob Effron· 28 mars 2025PodcastOpen-source models are 5% of enterprise use — and GPT wrappers wonAnime : Jacob EffronLatent Space's Swyx and Alessio join Redpoint to map what actually has product-market fit in AI, and why the application layer is the fight that matters.Entreprise et stratégieProduct-Market FitAI Strategy+3
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Cognitive Revolution "How AI Changes Everything"· 27 mars 2025PodcastHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line RepoAnime : Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.Agents de codeIngénierie du contexteGénération augmentée par récupération+3
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Unsupervised Learning: With Jacob Effron· 19 févr. 2025PodcastThe Cheaper Intelligence Gets, the More of It We'll BuyAnime : Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.AgentsIngénierie d’agentsReinforcement Learning+3
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Cognitive Revolution "How AI Changes Everything"· 12 févr. 2025PodcastA Perfect Score Is 32,000 Units: Only Claude Built a Cooperative SocietyAnime : Nathan LabenzThe same donor game, run for ten generations, can bank 32,000 resource units if everyone cooperates—and three frontier models miss that ceiling by an order of magnitude.AgentsMulti-agent systemsSécurité et gouvernance+3
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Unsupervised Learning: With Jacob Effron· 30 janv. 2025PodcastA Million Tokens Cannot Write a Good JokeAnime : Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.Évaluations et observabilitéÉvaluationsBenchmarks+3
5 diapositives19:06EN
Matthew Berman· 28 déc. 2024Building Effective AI Agents: Patterns, Trade-offs and EvaluationMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s guide to workflows and agents, adding examples from his own projects.Ingénierie d’agentsAgentsÉvaluations+1
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Cognitive Revolution "How AI Changes Everything"· 21 déc. 2024PodcastFrontier Models Hit the 10th–40th Percentile on Real AI R&DAnime : Nathan LabenzNeev Parikh of METR walks Nathan Labenz through REBench, a seven-task test of whether agents can do machine learning research—and what happened when one of them decided not to train.Évaluations et observabilitéÉvaluationsBenchmarks+3
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Unsupervised Learning: With Jacob Effron· 18 déc. 2024Podcasto1 Is a New Generation — and the Day AGI Arrives Will Feel BoringAnime : Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.Modèles et entraînementReasoning & test-time computeIngénierie d’agents+3
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Unsupervised Learning: With Jacob Effron· 6 déc. 2024PodcastNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomAnime : Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.Modèles et entraînementReasoning & test-time computeAGI+3
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Cognitive Revolution "How AI Changes Everything"· 5 déc. 2024PodcastAI Beats Humans at Reading Papers. It Still Cannot Count Atoms.Anime : Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.AgentsAI for scienceGénération augmentée par récupération+3
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