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1:59EN
Matthew Berman· 2026년 4월 6일Here.now and the Case for Agent-First Web PublishingMatthew Berman · Forward FutureMatthew Berman describes how a publishing service lets an AI agent put content online, and argues that the web is being rebuilt for agents.AI agentsAgent skills제품과 UX+1
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 2026년 4월 4일팟캐스트Frontier vision models score 12.5%: Joseph Nelson on the real waterline of computer vision진행자 Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.멀티모달과 미디어Multimodal AI비전과 영상+3
슬라이드 5장9:47EN
Matthew Berman· 2026년 4월 3일Gemma 4: Smaller Open-Weight Models for Local AIMatthew Berman · Forward FutureMatthew Berman reviews Google’s model sizes, multimodal features and reported benchmarks, with an eye toward local agents.Open-weight modelsLocal inferenceFoundation Models+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
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
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
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
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
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
2:17:36EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 1일팟캐스트Current Safety Techniques Will Not Give You Many Nines—and They May Fail Together진행자 Nathan LabenzUK AISI chief scientist Geoffrey Irving on jailbreaks that never fail, correlated alignment failures, and why a government lab is funding theory.보안과 안전안전과 거버넌스평가(Evals)+3
슬라이드1:16EN
Matthew Berman· 2026년 2월 25일Anthropic’s Distillation Allegations Draw CriticismMatthew Berman · Forward FutureMatthew Berman examines reactions to Anthropic’s claims about model distillation and debates over training data.DistillationAI RegulationAI Safety
2:03:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 25일팟캐스트260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AI진행자 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.기업과 전략AI in healthcare평가(Evals)+3
슬라이드 9장40:00EN
Matthew Berman· 2026년 2월 24일How Matthew Berman Built an OpenClaw Workflow for His TeamMatthew Berman · Forward FutureA tour of sponsorship triage, CRM, meeting notes, security, scheduling, memory and backup after a month of heavy use.Personal agentsWorkflow automation에이전트 엔지니어링+2
54:26EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 22일팟캐스트Ten Billion Active Parameters, and the Unsexy Work of Making Them Agent-Ready진행자 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.코딩 에이전트Reinforcement Learning에이전트 엔지니어링+3
슬라이드 2장0:27EN
Matthew Berman· 2026년 2월 20일Gemini 3.1 Pro Demonstrations: Flocking and City PlanningMatthew Berman · Forward FutureMatthew Berman looks at two visual simulation examples presented with Gemini 3.1 Pro.GeminiGenerative mediaVibe Coding
슬라이드0:37EN
Matthew Berman· 2026년 2월 20일Gemini 3.1 Pro: A Look at the Reported Benchmark ScoresMatthew Berman · Forward FutureMatthew Berman reacts to a Gemini 3.1 Pro comparison and highlights results on Humanity’s Last Exam.GeminiBenchmarksFoundation Models
슬라이드 4장10:17EN
Matthew Berman· 2026년 2월 19일Anthropic Subscription Credentials and OpenClaw: A 2026 Policy DisputeMatthew Berman · Forward FutureMatthew Berman explains why restrictions on Claude subscription OAuth credentials prompted him to change his OpenClaw model setup.AnthropicPersonal agentsAI cost & performance+1
슬라이드 2장0:18EN
Matthew Berman· 2026년 2월 19일Gemini 3.1 Pro’s Pelican and Frog SVG ComparisonsMatthew Berman · Forward FutureMatthew Berman reacts to two side-by-side animated SVG examples.GeminiGenerative media
슬라이드 2장1:37EN
Matthew Berman· 2026년 2월 18일Matthew Berman’s OpenClaw Knowledge BaseMatthew Berman · Forward FutureA personal agent captures links, follows related sources and makes saved material searchable in natural language.Personal agentsRAG와 지식Workflow automation+1
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