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Matthew Berman· 4 juin 2026Cognition's AI Productivity Guarantee for DevinMatthew Berman · Forward FutureMatthew Berman discusses a 2026 enterprise offer that compares estimated engineering value with the cost of using Devin.Developer productivityAgents de codePricing+1
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Sequoia Capital· 2 juin 2026PodcastBuilding Gets Easier Near AGI. Knowing What to Build Does Not.Listen Labs CEO Alfred Wahlforss on AI interview agents, a 30-million-person audience, and why transcripts beat credit-card data when you need to predict customers.Produit et UXProduct StrategyAI Product Management+3
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Matthew Berman· 29 mai 2026Pioneer Agent and Automated Fine-Tuning of Small ModelsMatthew Berman · Forward FutureIn a Fastino-sponsored video, Matthew Berman describes a system that automates parts of model adaptation and discusses its reported benchmark results.Fine-tuningÉvaluationsLocal inference+2
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Matthew Berman· 28 mai 2026Matthew Berman Tests Claude Opus 4.8 and Dynamic Workflows LiveMatthew Berman · Forward FutureA launch-day walkthrough compares Anthropic’s reported benchmarks with informal coding experiments and a multi-agent website redesign.Agents de codeAI cost & performanceÉvaluations+2
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Matthew Berman· 27 mai 2026DeepSWE: Testing Coding Agents on Longer Software TasksMatthew Berman · Forward FutureMatthew Berman reviews Datacurve’s benchmark, its verifier audit and the tradeoffs of comparing models under a shared harness.BenchmarksAgents de codeÉvaluations+2
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Cognitive Revolution "How AI Changes Everything"· 6 mai 2026PodcastCreators Cheer Filler-Word Removal and Boo Generative VideoAnime : Nathan LabenzDescript CEO Laura Burkhauser maps the same customers' three-speed reaction to AI: deterministic buttons they love, an agentic co-editor they want but scold, and generative video they actively hate.Produit et UXProduct engineeringGenerative media+3
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No Priors: AI, Machine Learning, Tech, & Startups· 23 avr. 2026Podcast · 2 voix400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AIAnime : Sarah Guo, Elad GilPhilipp Herzig tells No Priors how SAP is rebuilding the company operating system for AI, and why scale, evals, and pricing will decide who wins.Entreprise et stratégieIA en entrepriseAI Strategy+3
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Cognitive Revolution "How AI Changes Everything"· 11 avr. 2026PodcastCrunch Time: Ajeya Cotra's Playbook for the Months Before SuperintelligenceAnime : Nathan LabenzA conversation on recursive self-improvement, public warning systems, and using each generation of AI to align and control the next.SécuritéSécurité et gouvernanceAGI Timelines+3
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Matthew Berman· 8 avr. 2026Matthew Berman on Claude Mythos, Project Glasswing and AI SecurityMatthew Berman · Forward FutureBerman examines Anthropic’s limited cybersecurity preview and its reported capabilities, then weighs the promise and risks of increasingly capable AI systems.AI securityInfrastructure et déploiementÉvaluations+2
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Matthew Berman· 8 avr. 2026MemPalace Organizes AI Memory With a Palace MetaphorMatthew Berman · Forward FutureMatthew Berman introduces an open-source memory project and its reported retrieval score, while noting that AI memory tools already exist.Agent memorySearch & retrievalÉvaluations
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Matthew Berman· 31 mars 2026Meta-Harness: Searching for Better AI Agent InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a paper on using a coding agent to iteratively improve model harnesses and discusses its experimental limits.Harness engineeringIngénierie d’agentsÉvaluations+1
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Cognitive Revolution "How AI Changes Everything"· 16 mars 2026Podcast90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep UpAnime : Nathan LabenzNathan Labenz’s LexLab briefing for lawyers runs through the good, the bad, and the weird of frontier models — from triplicate second opinions on his son’s cancer care to AIs that know they are being tested.Entreprise et stratégieAI securitySécurité et gouvernance+3
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Matthew Berman· 11 mars 2026How Claude Identified a Benchmark and Retrieved Its AnswersMatthew Berman · Forward FutureMatthew Berman examines Anthropic's report on BrowseComp contamination, evaluation-aware behavior, and the difficulty of keeping web-based tests reliable.ÉvaluationsIngénierie d’agentsAnthropic+2
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Cognitive Revolution "How AI Changes Everything"· 1 mars 2026PodcastCurrent Safety Techniques Will Not Give You Many Nines—and They May Fail TogetherAnime : Nathan LabenzUK AISI chief scientist Geoffrey Irving on jailbreaks that never fail, correlated alignment failures, and why a government lab is funding theory.SécuritéSécurité et gouvernanceÉvaluations+3
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Cognitive Revolution "How AI Changes Everything"· 25 févr. 2026Podcast260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIAnime : Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.Entreprise et stratégieAI in healthcareÉvaluations+3
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Cognitive Revolution "How AI Changes Everything"· 22 févr. 2026PodcastTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-ReadyAnime : Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.Agents de codeReinforcement LearningIngénierie d’agents+3
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Sequoia Capital· 10 févr. 2026PodcastA Single Training Environment Can Cost Millions. Prime Intellect Wants a GitHub for RLWill Brown and Johannes Hagemann argue that the eval suite you already use to test agents is one step away from a training set.Open source et communautéRL environments & simulatorsÉvaluations+3
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Matthew Berman· 6 févr. 2026Claude Opus 4.6: Coding Claims, Agent Evaluation, and a Longer ContextMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s February 2026 model launch and a chart of AI task horizons.Foundation ModelsAgents de codeÉvaluations+1
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Cognitive Revolution "How AI Changes Everything"· 5 févr. 2026PodcastA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding PipelineAnime : Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.Agents de codeAgent orchestrationIngénierie du contexte+3
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Sequoia Capital· 21 janv. 2026PodcastThe Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.AgentsIngénierie du contexteIngénierie d’agents+3
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Unsupervised Learning: With Jacob Effron· 15 déc. 2025PodcastA Two-Second Vote Is Training Models to Be ClickbaitAnime : Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.Évaluations et observabilitéRL environments & simulatorsData quality & curation+3
Diapositives1:54:33EN
Matthew Berman· 13 déc. 2025Creative Agents, AI Evaluations and Enterprise Trust: Forward Future LiveMatthew Berman, Nick Wentz, Fabian Stelzer, Tejal Patwardhan, Christina Cacioppo, Jeremy Epling, Spenser Skates · Forward FutureLeaders from Glif, OpenAI, Vanta and Amplitude discuss creative workflows, knowledge-work benchmarks and practical AI adoption in December 2025.AI agentsÉvaluationsIA en entreprise+2
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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
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Cognitive Revolution "How AI Changes Everything"· 12 nov. 2025PodcastHe Got Bored Five Minutes Into a Waymo. Nathan Labenz Says That's the PointAnime : Nathan LabenzOn a crossover with the Existential Hope podcast, the Cognitive Revolution host argues that the scarcest resource in AI is a positive picture of daily life, not another doom scenario.Entreprise et stratégieSécurité et gouvernanceAI Strategy+3
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