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Slides0:47EN
Matthew Berman· Jun 4, 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 productivityCoding agentsPricing+1
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Sequoia Capital· Jun 2, 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.Product & UXProduct StrategyAI Product Management+3
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Matthew Berman· May 29, 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-tuningEvalsLocal inference+2
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Matthew Berman· May 28, 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.Coding agentsAI cost & performanceEvals+2
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Matthew Berman· May 27, 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.BenchmarksCoding agentsEvals+2
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Cognitive Revolution "How AI Changes Everything"· May 6, 2026PodcastCreators Cheer Filler-Word Removal and Boo Generative VideoHost 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.Product & UXProduct engineeringGenerative media+3
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No Priors: AI, Machine Learning, Tech, & Startups· Apr 23, 2026Podcast · 2 speakers400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AIHost 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.Enterprise & strategyEnterprise AIAI Strategy+3
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Cognitive Revolution "How AI Changes Everything"· Apr 11, 2026PodcastCrunch Time: Ajeya Cotra's Playbook for the Months Before SuperintelligenceHost Nathan LabenzA conversation on recursive self-improvement, public warning systems, and using each generation of AI to align and control the next.Security & safetySafety & governanceAGI Timelines+3
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Matthew Berman· Apr 8, 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 & deploymentEvals+2
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Matthew Berman· Apr 8, 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 & retrievalEvals
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Matthew Berman· Mar 31, 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 engineeringAgent engineeringEvals+1
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Cognitive Revolution "How AI Changes Everything"· Mar 16, 2026Podcast90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep UpHost 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.Enterprise & strategyAI securitySafety & governance+3
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Matthew Berman· Mar 11, 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.EvalsAgent engineeringAnthropic+2
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Cognitive Revolution "How AI Changes Everything"· Mar 1, 2026PodcastCurrent Safety Techniques Will Not Give You Many Nines—and They May Fail TogetherHost Nathan LabenzUK AISI chief scientist Geoffrey Irving on jailbreaks that never fail, correlated alignment failures, and why a government lab is funding theory.Security & safetySafety & governanceEvals+3
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Cognitive Revolution "How AI Changes Everything"· Feb 25, 2026Podcast260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIHost 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.Enterprise & strategyAI in healthcareEvals+3
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Cognitive Revolution "How AI Changes Everything"· Feb 22, 2026PodcastTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-ReadyHost 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.Coding agentsReinforcement LearningAgent engineering+3
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Sequoia Capital· Feb 10, 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 & communityRL environments & simulatorsEvals+3
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Matthew Berman· Feb 6, 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 ModelsCoding agentsEvals+1
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Cognitive Revolution "How AI Changes Everything"· Feb 5, 2026PodcastA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding PipelineHost 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.Coding agentsAgent orchestrationContext engineering+3
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Sequoia Capital· Jan 21, 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.AgentsContext engineeringAgent engineering+3
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Unsupervised Learning: With Jacob Effron· Dec 15, 2025PodcastA Two-Second Vote Is Training Models to Be ClickbaitHost 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.Evals & observabilityRL environments & simulatorsData quality & curation+3
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Matthew Berman· Dec 13, 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 agentsEvalsEnterprise AI+2
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Unsupervised Learning: With Jacob Effron· Dec 2, 2025PodcastAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5Host 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 ManagementEvals+3
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Cognitive Revolution "How AI Changes Everything"· Nov 12, 2025PodcastHe Got Bored Five Minutes Into a Waymo. Nathan Labenz Says That's the PointHost 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.Enterprise & strategySafety & governanceAI Strategy+3
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