필터 결과
131개정렬
27:13ENKimi K3 and the Debate Over Open-Weight AIMatthew Berman · Forward FutureMatthew Berman examines model economics, competition and security arguments after Moonshot AI’s Kimi K3 announcement.
1:16:37ENNikesh Arora on Enterprise AI, Cybersecurity and Model Economics게스트 Nikesh Arora · 진행자 Harry StebbingsPalo Alto Networks’ CEO discusses model depth, token costs, security and how leaders can adapt large organizations.
2:14:33ENA 90-Minute Ultimatum, an Emoji Wall, and a Rule: Don't Fight Washington진행자 Nathan LabenzZvi Mowshowitz reads Fable's system card, then Nathan Labenz stress-tests the export-control fight against lawyers, safety researchers, and builders who did not pause.
1:22:36ENA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the Brakes진행자 Nathan LabenzThe first week of AI in the AM follows OpenAI's timeline for an ML-intern model this year and a human-level AI researcher by early 2028 — and the closed-door meeting where labs admitted they might one day need to slow down together.
2:33:35ENA security researcher audits the AI stack that booked a week of guests진행자 Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.
41:09ENAfter Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big Ones진행자 Sarah Guo, Elad GilTwo years ago enterprise security buyers told Maxim Bar Kogan he was too early. Now Fortune 10 companies are calling a sub-100-person Israeli startup because they cannot stop agent adoption — only reduce the chance the next action is illegitimate.
2:13:11ENThe Models Understand Shutdown. They Just Don't Care.진행자 Nathan LabenzPalisade Research's Jeffrey Ladish on shutdown resistance, open-weight self-replication, and why all compute looks like food to a strategic agent.
1:42:54ENAI and Cybersecurity: Matthew Berman’s Warnings, Predictions and Open QuestionsMatthew Berman · Forward FutureA livestream reviews reported AI-assisted threats and debates whether stronger defensive models can keep pace with attackers.
17:21ENDeepSeek V4, Model Efficiency and the US–China AI DebateMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s April 2026 V4 preview and argues that efficient open-weight models raise questions for American AI providers and policymakers.
2:27:51ENTesting Claude Opus 4.7 and Building for an Agent-First InternetMatthew Berman · Forward FutureMatthew Berman tests Claude Design, examines early Opus 4.7 reactions and debugs an experimental agent chat live.
1:30:31ENAI Security, Software Valuations and SpaceX IPO Speculation: A 20VC Roundtable게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsJason Lemkin and Rory O’Driscoll debate AI security claims, enterprise software and the assumptions behind reported private-company valuations.
0:28ENMatthew Berman on Claude Mythos and Software VulnerabilitiesMatthew Berman · Forward FutureAnthropic reports that its security research model has found serious software flaws; Berman asks what such capabilities mean for the concentration of power.
1:15ENMatthew Berman Reacts to Claude Mythos Preview’s Cybersecurity FindingsMatthew Berman · Forward FutureBerman discusses Anthropic’s reported vulnerability discoveries and warns about their potential implications.
1:32:21ENAI Financing, Model Routing and Security Risks: A 20VC Roundtable게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsJason Lemkin and Rory O’Driscoll debate reported OpenAI and Anthropic finances, model routing, database infrastructure and security, with attention to uncertainty and conflicts.
25:15ENMatthew Berman on Claude Mythos, Project Glasswing and AI SecurityMatthew Berman · Forward FutureBerman examines Anthropic’s limited cybersecurity preview and its reported capabilities, then weighs the promise and risks of increasingly capable AI systems.
1:44:15ENNathan 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.
34:04ENHow Matthew Berman Organizes and Secures His OpenClaw SetupMatthew Berman, Jensen Huang · Forward FutureA walkthrough of topic threads, model routing, delegated agents, schedules, layered security and maintenance practices for a personal AI assistant.
1:18:46EN90 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.
1:43:39ENFive 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.
2:06:23ENFive 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.
2:17:36ENCurrent 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.
33:44ENHow Matthew Berman Uses OpenClaw for a Personal AssistantMatthew Berman · Forward FutureA tour of customized CRM, meeting, research and security workflows, along with the limits of automation and the need for backups.
3:15:52ENThe Voice Note His Bot Couldn't Handle — and the Agent That Built Itself Anyway게스트 OpenClaw · 진행자 Lex FridmanPeter Steinberger tells Lex Fridman how a one-hour WhatsApp toy became GitHub's fastest-growing project, and what it cost him to keep it open.
1:18:49ENIf 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.
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