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슬라이드 3장15:00EN
Matthew Berman· 2026년 4월 1일Claude Code Source Exposure and Lessons About Agent HarnessesMatthew Berman · Forward FutureMatthew Berman discusses the 2026 source-map incident and commentary on instructions, subagents, permissions, compaction and hooks.코딩 에이전트에이전트 엔지니어링Agent orchestration+2
1:44:15EN
Cognitive Revolution "How AI Changes Everything"· 2026년 4월 1일팟캐스트Nathan Labenz's p(doom) Is 10 to 90 Percent. He Is More Optimistic Anyway진행자 Nathan LabenzFive years ago, expecting AGI by 2035 made you an extremist. On The Intelligence Horizon, the Cognitive Revolution host explains why the same forecast now sounds bearish, and why he still thinks a defense-in-depth strategy might keep society on the rails.보안과 안전AGI TimelinesAI security+3
슬라이드 3장27:15EN
Matthew Berman· 2026년 3월 31일Meta-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 engineering에이전트 엔지니어링평가(Evals)+1
슬라이드 5장11:15EN
Matthew Berman· 2026년 3월 27일ARC-AGI-3: Testing How AI Agents Learn the Rules of Unfamiliar GamesMatthew Berman · Forward FutureMatthew Berman explains ARC’s earlier grid puzzles and plays an interactive ARC-AGI-3 level, then examines early model results. The benchmark tests a specific form of adaptation rather than settling whether a system has general intelligence.AGI(범용 인공지능)BenchmarksReasoning & test-time compute+2
슬라이드 2장2:35EN
Matthew Berman· 2026년 3월 27일Matthew Berman’s Microsoft 365 Copilot Business WorkflowMatthew Berman · Forward FutureIn a Microsoft partnership, Berman describes using Copilot for drafting, an initial contract review and workflow automation, and shares his own time estimates.AI AdoptionProductivityWorkflow automation+1
슬라이드2:19EN
Matthew Berman· 2026년 3월 26일How Matthew Berman Uses Copilot in His Creator BusinessMatthew Berman · Forward FutureIn a Microsoft partnership, Berman describes using Microsoft 365 Copilot Business for research, sponsor email, and first-pass contract review.Workflow automationHuman-AI CollaborationContent Strategy+1
1:37:43EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 25일팟캐스트Cisco wants two extra network layers so agents can share intent진행자 Nathan LabenzVijoy Pandey of Outshift by Cisco argues that superintelligence has to scale out through networks of agents, not just up through bigger models.에이전트Multi-agent systemsAgent orchestration+3
1:40:46EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 22일팟캐스트Give an agent a thousand tools and it will pick the wrong blade진행자 Nathan LabenzComposio CTO Karan Vaidya on the tool harness that discovers, authenticates, sandboxes, and rewrites integrations so agents can do whole jobs without drowning in context.MCP와 도구MCP에이전트 엔지니어링+3
슬라이드1:02EN
Matthew Berman· 2026년 3월 20일Use Topic Threads to Keep OpenClaw Conversations FocusedMatthew Berman · Forward FutureMatthew Berman suggests separating subjects into sessions to make an assistant’s conversation context easier to navigate.Agent memoryPersonal agents컨텍스트 엔지니어링
3:27:22EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 19일팟캐스트The AI Table Has Three Seats Left: Zvi on the Middle Game, Jobs, and Anthropic's Promises진행자 Nathan LabenzOn his 12th Cognitive Revolution appearance, Zvi Mowshowitz argues early 2026 is the start of the middle — with only three labs still playing, a real job shock underway, and Anthropic's safety commitments reduced to trust us.기업과 전략AI StrategyAGI Timelines+3
0:35EN
Matthew Berman· 2026년 3월 18일Matthew Berman Explains ChatGPT's March 2026 PlansMatthew Berman · Forward FutureA short overview of the Free, Go, Plus and Pro tiers, with historical prices and model availability clarified.OpenAIPricingAI Product Management
슬라이드1:09EN
Matthew Berman· 2026년 3월 18일The Benefits and Tradeoffs of Running AI Models LocallyMatthew Berman · Forward FutureMatthew Berman weighs the privacy, control and costs of local models against technical complexity and performance tradeoffs.Local inferenceOpen-weight modelsAI cost & performance
슬라이드 3장0:59EN
Matthew Berman· 2026년 3월 17일Matthew Berman's Quick Guide to AI Models and ToolsMatthew Berman · Forward FutureA March 2026 overview groups chat assistants, open-weight models, image and video generators, world models, coding agents and audio tools.Foundation ModelsGenerative media코딩 에이전트+2
슬라이드 3장20:35EN
Matthew Berman· 2026년 3월 16일A Beginner’s Guide to AI Assistants, Media Models and Coding AgentsMatthew Berman · Forward FutureMatthew Berman surveys hosted assistants, downloadable models, image and video tools, world models, coding agents and audio generation in a March 2026 overview.Generative mediaAI agentsOpen-weight models+2
1:18:46EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 16일팟캐스트90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep Up진행자 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.기업과 전략AI security안전과 거버넌스+3
0:45EN
Matthew Berman· 2026년 3월 13일A DGX Spark Giveaway Connected to NVIDIA GTCMatthew Berman · Forward FutureMatthew Berman announces a 2026 giveaway for a DGX Spark and highlights GTC sessions on robotics and AI.Local inferenceAI Adoption
슬라이드0:35EN
Matthew Berman· 2026년 3월 12일A Virtual Fruit Fly and the Limits of Brain EmulationMatthew Berman · Forward FutureA connectome-based model produces fly-like behavior in a simulated body, but its creators describe important simplifications and trained control components.NeuroscienceSimulation HypothesisConsciousness & Intelligence+1
1:43:39EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 11일팟캐스트Five Mutations Could Make a 60% Fatal Bird Flu Spread Between People진행자 Nathan LabenzJohns Hopkins assistant professor Jassi Pannu argues for locking down only the sliver of functional data that teaches models how to make pandemic viruses — and keeping the rest of biology open.보안과 안전안전과 거버넌스AI security+3
슬라이드 3장11:59EN
Matthew Berman· 2026년 3월 11일How 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.평가(Evals)에이전트 엔지니어링Anthropic+2
슬라이드 5장11:55EN
Matthew Berman· 2026년 3월 10일A Simulated Fruit Fly Raises Questions About Brain EmulationMatthew Berman · Forward FutureMatthew Berman examines a connectome-based virtual fly and considers what it might mean for neuroscience, consciousness and simulation theory.Computational BiologyNeuroscienceConsciousness+2
슬라이드0:43EN
Matthew Berman· 2026년 3월 10일A Cultured-Neuron Interface Controls DoomMatthew Berman · Forward FutureMatthew Berman describes a Cortical Labs demonstration that connects activity in cultured human neurons to actions in a video game.Neuroscience & AIBrain-Computer InterfacesAI research
2:06:23EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 8일팟캐스트Five AI Employees Live on Five Mac Minis진행자 Nathan LabenzAfter selling her YC packaging company, Jesse Genet opened a terminal for the first time and built an OpenClaw staff that now plans lessons, logs learning, and keeps family evenings from sliding into slop.에이전트Personal agentsMulti-agent systems+3
1:49:53EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 5일팟캐스트Don't Fight Backprop: Goodfire's Bet on Designing What Models Learn진행자 Nathan LabenzDan Balsam and Tom McGrath return to The Cognitive Revolution with a $150 million Series B, a new research pillar called intentional design, and a rule for anyone who wants to steer training: stop trying to out-muscle gradient descent.모델과 학습Model Interpretability안전과 거버넌스+3
슬라이드1:18EN
Matthew Berman· 2026년 3월 4일NVIDIA’s Alpamayo and the Promise of Simulated Driving DataMatthew Berman · Forward FutureMatthew Berman discusses NVIDIA’s autonomous-driving tools and a Mercedes demonstration, while predicting wider adoption.Autonomous Driving안전과 거버넌스Synthetic data
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