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슬라이드 6장15:44EN
Matthew Berman· 2026년 2월 3일OpenClaw, Moltbook and the Question of an Agent InternetMatthew Berman · Forward FutureMatthew Berman surveys early agent social networks and marketplaces, weighs enthusiasm against security concerns, and considers what their behavior does—and does not—show.Personal agentsMulti-agent systemsAI security+2
슬라이드0:57EN
Matthew Berman· 2026년 2월 3일Tesla Plans to End Model S and X Production as It Turns Factory Space to OptimusMatthew Berman · Forward FutureMatthew Berman discusses the retirement of two flagship vehicles and Tesla’s ambitions for humanoid robots.RoboticsProduct StrategyAutonomous Systems
슬라이드0:32EN
Matthew Berman· 2026년 2월 1일A 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
1:04:51EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 1일팟캐스트125 million cells took a decade. The next billion takes months진행자 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.모델과 학습AI for scienceData quality & curation+3
슬라이드1:01EN
Matthew Berman· 2026년 1월 31일Moltbook, 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
4:25:13EN
Lex Fridman· 2026년 1월 31일팟캐스트The Architecture Barely Changed. Data, Cost, and Open Weights Did.진행자 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.모델과 학습Scaling LawsOpen-weight models+3
슬라이드12:23EN
Matthew Berman· 2026년 1월 31일Moltbook: 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.에이전트AI securityAI Safety+1
1:09EN
Matthew Berman· 2026년 1월 29일The 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.코딩 에이전트Agent orchestration개발 워크플로와 테스트
1:03:00EN
Unsupervised Learning: With Jacob Effron· 2026년 1월 29일팟캐스트A Model That Solves New Math Problems Every Week Still Isn't AGI진행자 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.모델과 학습Reinforcement LearningAGI Timelines+3
슬라이드 4장11:31EN
Matthew Berman· 2026년 1월 29일Exploring 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 media비전과 영상+2
1:39:17EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 29일팟캐스트AI Already Beats the Median Lawyer. Top Firms Bought the Tools and Left Them Unused진행자 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.기업과 전략AI Regulation안전과 거버넌스+3
슬라이드 6장14:44EN
Matthew Berman· 2026년 1월 27일Kimi 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
슬라이드 2장1:07EN
Matthew Berman· 2026년 1월 26일Matthew 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
1:20EN
Matthew Berman· 2026년 1월 26일LTX-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 media비전과 영상Open-weight models
슬라이드 4장21:12EN
Matthew Berman· 2026년 1월 26일Clawdbot 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 agents에이전트 엔지니어링Local inference+2
슬라이드 2장0:24EN
Matthew Berman· 2026년 1월 26일Matthew Berman Checks His Clawdbot Token CostsMatthew Berman · Forward FutureA short usage check reveals unexpectedly high model spending over two days.AI cost & performancePersonal agentsInference
0:31EN
Matthew Berman· 2026년 1월 25일How 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
2:12:31EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 25일팟캐스트Most Caffeine users have no idea they are on a blockchain진행자 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.인프라와 배포코딩 에이전트안전과 거버넌스+3
슬라이드 5장15:10EN
Matthew Berman· 2026년 1월 24일OpenAI’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
2:25:10EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 22일팟캐스트Fine-Tuning Isn't Dead — But It Turned a Helpful Model Evil진행자 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.모델과 학습파인튜닝안전과 거버넌스+3
슬라이드1:08EN
Matthew Berman· 2026년 1월 22일Will 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 Work코딩 에이전트Software engineering
슬라이드 7장18:33EN
Matthew Berman· 2026년 1월 19일OpenAI'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
2:15EN
Matthew Berman· 2026년 1월 18일Elon 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
2:29:42EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 18일팟캐스트Twelve hooks and thirty files: Daniel Miessler’s personal OS on Claude Code진행자 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.코딩 에이전트에이전트 엔지니어링컨텍스트 엔지니어링+3
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