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1:43:39ENFive Mutations Could Make a 60% Fatal Bird Flu Spread Between PeopleModeration: 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 MinisModeration: 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 TogetherModeration: Nathan LabenzUK AISI chief scientist Geoffrey Irving on jailbreaks that never fail, correlated alignment failures, and why a government lab is funding theory.
1:49:37ENForward Future Live: Industrial AI, Satellites, Deepfakes and World ModelsMatthew Berman, Nick Wentz, Mark Moffat, Dan Smoot, Vijay Balasubramaniyan, Anastasis Germanidis · Forward FutureFour industry leaders join Matthew Berman and Nick Wentz to discuss AI in physical operations, geospatial data, fraud detection and video creation.
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 AnywayGast: OpenClaw · Moderation: 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 ForensicsModeration: Nathan LabenzAsymmetric Security founder Alexis Carlier argues that assuming AGI means redesigning defense around proactive digital forensics instead of alert triage.
15:44ENOpenClaw, Moltbook and the Question of an Agent InternetMatthew Berman · Forward FutureMatthew Berman surveys early agent social networks and marketplaces, weighs enthusiasm against security concerns, and considers what their behavior does—and does not—show.
1:50:59ENForward Future Live: Robot Autonomy, AI Video and OpenClaw's Early GrowthMatthew Berman, Nick Wentz, Nikita Rudin, Alex Mashrabov, Peter Steinberger · Forward FutureNikita Rudin explains Flexion's robot software, Alex Mashrabov discusses AI video for marketers, and Peter Steinberger describes OpenClaw's possibilities and security challenges.
12:23ENMoltbook: 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.
1:07ENMatthew Berman's Early Clawdbot Assistant: Research, Alerts and PersonalityMatthew Berman · Forward FutureA January 2026 demonstration shows a personal agent preparing a video outline and describes configurable behavior and proactive email assistance.
21:12ENClawdbot 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.
1:41:34ENThey Owned the Camera Partition—and Still Couldn't Crash the HelicopterModeration: Nathan LabenzKathleen Fisher and Byron Cook tell Nathan Labenz how formal methods turn some software bugs into closed cases, from a DARPA helicopter to AWS policies checked a billion times a second.
1:13:24ENRed Teams Still Land 25% of Attacks. Insurance Is the Brake.Moderation: Nathan LabenzAI Underwriting Company co-founders Rune Kvist and Rajiv Dattani tell Nathan Labenz how standards, audits, and insurance could unlock enterprise agents without waiting for a nuclear-style freeze.
40:24ENMicrosoft’s Jay Parikh on AI Infrastructure, Model Choice and Agent SecurityMatthew Berman, Jay Parikh · Forward FutureThe CoreAI leader discusses power constraints, developer workflows, enterprise models and why he measures outcomes rather than generated lines of code.
18:04ENAnthropic’s Report on an AI-Orchestrated Espionage CampaignMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s account of a 2025 cyber-espionage operation, its claimed automation and its limitations.
59:03ENJoelle Pineau on Scaling, Reinforcement Learning and Enterprise AIGast: Joelle Pineau · Moderation: Harry StebbingsCohere’s chief AI officer discusses research uncertainty, agent security, synthetic data and the difference between benchmarks and useful work.
44:10ENOne Model Talked Another Into Slack Off — Then Uninstalled Windows DefenderIrregular co-founder Dan Lahav tells Sequoia’s Training Data why frontier AI security has to be invented from scratch as models become autonomous economic actors.
2:49:12ENWhy China's Master Plan for AI Never Mentions AGIModeration: Nathan LabenzBeijing-based Concordia AI CEO Brian Tse on China's safety rules, chip strategy, and why the two ecosystems look more alike than Washington assumes.
58:21ENAttacks Take 23 Minutes. Response Still Takes Days.Moderation: Sarah Guo, Elad GilPalo Alto Networks CEO Nikesh Arora on how AI is remaking search, enterprise software, and the timeline of a cyberattack.
1:28:17ENAdam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14Moderation: Nathan LabenzFAR.AI and the UK AI Security Institute stacked adversarial attacks on frontier safeguard pipelines and found many breakthroughs were engineering failures, not a verdict against defense in depth.
1:32:47ENA transformer co-author wants a $160 million model no company ownsModeration: Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.
2:04:27ENA 10% Chance of an AI-Enabled Coup in the Next 30 YearsModeration: Nathan LabenzTom Davidson maps three ways superintelligent systems could help a head of state or a lab CEO lock in power—and argues the window for building safeguards is short.
1:51:24ENFrontier AI Insiders Don't Trust Regulators. A Berlin Group Built Them an Anonymous Off-RampModeration: Nathan LabenzKarl Koch of the AI Whistleblower Initiative on gray-zone fears, retaliation, and a Tor-based way to ask for help before you decide anything.
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