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0:36EN
Matthew Berman· 2026년 2월 10일SpaceX's Shift Toward a Lunar CityMatthew Berman · Forward FutureMatthew Berman summarizes Elon Musk's 2026 statement that the Moon would take priority over Mars.
슬라이드1:12EN
Matthew Berman· 2026년 2월 9일The Viral Super Bowl Device Ad That OpenAI DeniedMatthew Berman · Forward FutureMatthew Berman examines a clip alleged to show an OpenAI device, while the company says the supposed leak is fake.Product DesignOpenAIGenerative media
0:40EN
Matthew Berman· 2026년 2월 9일A Humorous Comparison of Opus 4.6 and GPT-5.3-CodexMatthew Berman · Forward FutureMatthew Berman caricatures two coding assistants as taking very different routes to a successful result.코딩 에이전트개발 워크플로와 테스트Human-AI Collaboration
슬라이드0:50EN
Matthew Berman· 2026년 2월 8일GPU Prices, Memory Shortages and the Possibility of Older Nvidia CardsMatthew Berman · Forward FutureMatthew Berman discusses 2026 GPU price pressure and a possible return to older graphics generations.GPU programming & kernels인프라와 배포
1:18:49EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 8일팟캐스트If AGI Is Cheap Intelligent Labor, Cyber Defense Should Become Continuous Forensics진행자 Nathan LabenzAsymmetric Security founder Alexis Carlier argues that assuming AGI means redesigning defense around proactive digital forensics instead of alert triage.보안과 안전AI security에이전트 엔지니어링+3
0:47EN
Matthew Berman· 2026년 2월 7일GPT-5 and an Automated Laboratory: A Scientific WorkflowMatthew Berman · Forward FutureMatthew Berman describes an OpenAI and Ginkgo Bioworks demonstration connecting an AI model to laboratory automation.AI for science에이전트
슬라이드 2장0:53EN
Matthew Berman· 2026년 2월 6일Claude 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 Models코딩 에이전트평가(Evals)+1
슬라이드 4장9:31EN
Matthew Berman· 2026년 2월 6일GPT-5.3-Codex: Coding Agents, Speed and Computer Use at LaunchMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s February 2026 demonstrations and benchmarks, with a closer look at what the reported speedup and scores do—and do not—show.코딩 에이전트BenchmarksComputer use+2
1:57:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 5일팟캐스트A Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipeline진행자 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.코딩 에이전트Agent orchestration컨텍스트 엔지니어링+3
슬라이드 8장14:20EN
Matthew Berman· 2026년 2월 5일Claude Opus 4.6: Longer Context, Agent Teams and Early BenchmarksMatthew Berman · Forward FutureMatthew Berman reviews Anthropic's February 2026 model launch, its agent features, long-context results and historical pricing.Anthropic코딩 에이전트Agent orchestration+2
슬라이드 5장22:31EN
Matthew Berman· 2026년 2월 5일Matthew Berman’s OpenClaw Setup: Models, Workflows, and SecurityMatthew Berman · Forward FutureA walkthrough of a personal AI assistant’s configuration, scheduling, integrations and practical automations, with attention to the risks of granting it access.에이전트에이전트 엔지니어링보안과 안전+1
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
1:03:00EN
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 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
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
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
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