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Diapositives0:32EN
Matthew Berman· 1 févr. 2026A Prompt for Reducing Familiar AI Writing PatternsMatthew Berman · Forward FutureMatthew Berman discusses a writing checklist and a prompt intended to reduce repetitive AI prose.Prompting & in-context learningCommunicationGenerative media
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Cognitive Revolution "How AI Changes Everything"· 1 févr. 2026Podcast125 million cells took a decade. The next billion takes monthsAnime : Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.Modèles et entraînementAI for scienceData quality & curation+3
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Matthew Berman· 31 janv. 2026Moltbook, AI Agents and the Appearance of Private PlansMatthew Berman · Forward FutureMatthew Berman reacts to a post on an agent-oriented social network and questions what AI-to-AI conversations might mean.AI agentsMulti-agent systemsSocial Media+1
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Lex Fridman· 31 janv. 2026PodcastThe Architecture Barely Changed. Data, Cost, and Open Weights Did.Anime : Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.Modèles et entraînementScaling LawsOpen-weight models+3
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Matthew Berman· 31 janv. 2026Moltbook: An AI Agent Social Network and Its Security QuestionsMatthew Berman · Forward FutureMatthew Berman explores conversations attributed to AI agents on Moltbook and considers privacy, manipulation and operating costs.AgentsAI securityAI Safety+1
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Matthew Berman· 29 janv. 2026The Ralph Wiggum Loop: Fresh Context for Repeated Coding TasksMatthew Berman · Forward FutureMatthew Berman explains a coding-agent loop that breaks work into smaller steps and carries progress forward between runs.Agents de codeAgent orchestrationWorkflows de développement et tests
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Unsupervised Learning: With Jacob Effron· 29 janv. 2026PodcastA Model That Solves New Math Problems Every Week Still Isn't AGIAnime : Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.Modèles et entraînementReinforcement LearningAGI Timelines+3
4 diapositives11:31EN
Matthew Berman· 29 janv. 2026Exploring Google’s Project Genie: Interactive Worlds with Genie 3AlexAlex tests generated racetracks, alien structures and cloud landscapes, showing both the prototype’s creative options and its control limitations.World modelsGenerative mediaVision et vidéo+2
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Cognitive Revolution "How AI Changes Everything"· 29 janv. 2026PodcastAI Already Beats the Median Lawyer. Top Firms Bought the Tools and Left Them UnusedAnime : Nathan LabenzKevin Frazier and Alan Rozenshtein walk through how frontier models are changing legal practice, why billable hours stall adoption, and which new rights and government limits they want next.Entreprise et stratégieAI RegulationSécurité et gouvernance+3
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Matthew Berman· 27 janv. 2026Kimi K2.5: Visual Coding, Agent Swarms, Benchmarks and Local DeploymentMatthew Berman · Forward FutureMatthew Berman examines Moonshot AI’s multimodal open-weight model, its parallel-agent demonstrations and the practical costs of running it.Foundation ModelsMultimodal AIAgent orchestration+2
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Matthew Berman· 26 janv. 2026Matthew Berman's Early Clawdbot Assistant: Research, Alerts and PersonalityMatthew Berman · Forward FutureA January 2026 demonstration shows a personal agent preparing a video outline and describes configurable behavior and proactive email assistance.Personal agentsAgent memoryWorkflow automation+1
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Matthew Berman· 26 janv. 2026LTX-2 Brings Open-Weight Audio and Video Generation to Local WorkflowsMatthew Berman · Forward FutureMatthew Berman discusses NVIDIA’s ComfyUI demonstration, creative controls and the prospects for locally generated video.Generative mediaVision et vidéoOpen-weight models
4 diapositives21:12EN
Matthew Berman· 26 janv. 2026Clawdbot as a Personal AI Assistant: Workflows, Costs and RisksMatthew Berman · Forward FutureMatthew Berman demonstrates a local agent connected to messaging, cloud services and models, and reports what worked, failed and cost more than expected.Personal agentsIngénierie d’agentsLocal inference+2
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Matthew Berman· 26 janv. 2026Matthew Berman Checks His Clawdbot Token CostsMatthew Berman · Forward FutureA short usage check reveals unexpectedly high model spending over two days.AI cost & performancePersonal agentsInference
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Matthew Berman· 25 janv. 2026How AI Changed Stack Overflow’s Role for DevelopersMatthew Berman · Forward FutureMatthew Berman reflects on moving from Stack Overflow to ChatGPT, with context on the site’s acquisition and its partnership with OpenAI.Developer productivityAI AdoptionSoftware engineering
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Cognitive Revolution "How AI Changes Everything"· 25 janv. 2026PodcastMost Caffeine users have no idea they are on a blockchainAnime : Nathan LabenzDFINITY's Dominic Williams tells Nathan Labenz why a tamper-proof, unstoppable cloud is the right backend for AI that writes software from a chat box.Infrastructure et déploiementAgents de codeSécurité et gouvernance+3
5 diapositives15:10EN
Matthew Berman· 24 janv. 2026OpenAI’s Drug-Discovery Value Sharing: What Was Proposed and What Remains UnclearMatthew Berman · Forward FutureMatthew Berman examines Sarah Friar’s remarks on licensing, compares research partnerships and considers a speculative future of concentrated AI resources.AI for scienceAI StrategyPrivacy & data governance+1
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Cognitive Revolution "How AI Changes Everything"· 22 janv. 2026PodcastFine-Tuning Isn't Dead — But It Turned a Helpful Model EvilAnime : Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.Modèles et entraînementFine-tuningSécurité et gouvernance+3
Diapositives1:08EN
Matthew Berman· 22 janv. 2026Will AI Change What Programmers Do?Matthew Berman · Forward FutureMatthew Berman responds to Ryan Dahl's prediction about writing code and argues that systems thinking will remain important.Future of WorkAgents de codeSoftware engineering
7 diapositives18:33EN
Matthew Berman· 19 janv. 2026OpenAI's Revenue, ChatGPT Go and Ads: A 2026 Strategy AnalysisMatthew Berman · Forward FutureMatthew Berman connects OpenAI’s revenue disclosures, a lower-priced subscription and planned advertising to a wider competition for AI users. The financial estimates and market scenarios are distinguished from company disclosures.Product StrategyPricing StrategyMonetization+1
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Matthew Berman· 18 janv. 2026Elon Musk’s OpenAI Lawsuit: Founding Disputes, Discovery and the 2023 Board CrisisMatthew Berman · Forward FutureMatthew Berman discusses documents in the dispute over OpenAI’s structure, including Greg Brockman’s journal and questions about board governance.OpenAIAI HistoryAI Regulation+1
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Cognitive Revolution "How AI Changes Everything"· 18 janv. 2026PodcastTwelve hooks and thirty files: Daniel Miessler’s personal OS on Claude CodeAnime : Nathan LabenzThe PAI framework treats scaffolding, not the model, as the product — a goal-centered agent stack that Miessler thinks will decide both knowledge-work automation and the next cybersecurity race.Agents de codeIngénierie d’agentsIngénierie du contexte+3
5 diapositives17:44EN
Matthew Berman· 17 janv. 2026Recursive Language Models: Extending Long-Input Work Beyond a Context WindowMatthew Berman · Forward FutureMatthew Berman examines an MIT research approach that lets language models inspect external text and make sub-calls, along with its benchmark and cost tradeoffs.Ingénierie du contexteInferenceÉvaluations+2
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Matthew Berman· 16 janv. 2026A Speed-Reading Display That Shows One Word at a TimeMatthew Berman · Forward FutureA short visual demonstration presents words in rapid succession at increasing displayed speeds.ProductivityEducation
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