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1,095 件並び順
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Matthew Berman· 2026年4月6日Here.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.
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月4日ポッドキャストFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionホスト 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.
9:47ENMatthew Berman· 2026年4月3日Gemma 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.
1:44:15ENCognitive Revolution "How AI Changes Everything"· 2026年4月1日ポッドキャストNathan Labenz's p(doom) Is 10 to 90 Percent. He Is More Optimistic Anywayホスト 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.
27:15ENMatthew Berman· 2026年3月31日Meta-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.
1:37:43ENCognitive Revolution "How AI Changes Everything"· 2026年3月25日ポッドキャストCisco wants two extra network layers so agents can share intentホスト Nathan LabenzVijoy Pandey of Outshift by Cisco argues that superintelligence has to scale out through networks of agents, not just up through bigger models.
1:40:46ENCognitive Revolution "How AI Changes Everything"· 2026年3月22日ポッドキャストGive an agent a thousand tools and it will pick the wrong bladeホスト 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.
3:27:22ENCognitive Revolution "How AI Changes Everything"· 2026年3月19日ポッドキャストThe AI Table Has Three Seats Left: Zvi on the Middle Game, Jobs, and Anthropic's Promisesホスト 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.
20:35ENMatthew Berman· 2026年3月16日A 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.
1:18:46ENCognitive Revolution "How AI Changes Everything"· 2026年3月16日ポッドキャスト90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep Upホスト 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.
1:43:39ENCognitive Revolution "How AI Changes Everything"· 2026年3月11日ポッドキャストFive Mutations Could Make a 60% Fatal Bird Flu Spread Between Peopleホスト 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.
11:59ENMatthew Berman· 2026年3月11日How 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.
0:43ENMatthew Berman· 2026年3月10日A 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.
2:06:23ENCognitive Revolution "How AI Changes Everything"· 2026年3月8日ポッドキャストFive AI Employees Live on Five Mac Minisホスト 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.
1:49:53ENCognitive Revolution "How AI Changes Everything"· 2026年3月5日ポッドキャストDon't Fight Backprop: Goodfire's Bet on Designing What Models Learnホスト 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.
2:17:36ENCognitive Revolution "How AI Changes Everything"· 2026年3月1日ポッドキャストCurrent Safety Techniques Will Not Give You Many Nines—and They May Fail Togetherホスト Nathan LabenzUK AISI chief scientist Geoffrey Irving on jailbreaks that never fail, correlated alignment failures, and why a government lab is funding theory.
1:16ENMatthew Berman· 2026年2月25日Anthropic’s Distillation Allegations Draw CriticismMatthew Berman · Forward FutureMatthew Berman examines reactions to Anthropic’s claims about model distillation and debates over training data.
2:03:56ENCognitive Revolution "How AI Changes Everything"· 2026年2月25日ポッドキャスト260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIホスト 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.
40:00ENMatthew Berman· 2026年2月24日How 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.
54:26ENCognitive Revolution "How AI Changes Everything"· 2026年2月22日ポッドキャストTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-Readyホスト 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.
0:27ENMatthew Berman· 2026年2月20日Gemini 3.1 Pro Demonstrations: Flocking and City PlanningMatthew Berman · Forward FutureMatthew Berman looks at two visual simulation examples presented with Gemini 3.1 Pro.
0:37ENMatthew Berman· 2026年2月20日Gemini 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.
10:17ENMatthew Berman· 2026年2月19日Anthropic 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.
0:18ENMatthew Berman· 2026年2月19日Gemini 3.1 Pro’s Pelican and Frog SVG ComparisonsMatthew Berman · Forward FutureMatthew Berman reacts to two side-by-side animated SVG examples.もっと見る1,095 件中 24 件を表示