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156 件
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スライド 10 枚33:44EN
Matthew Berman· 2026年2月17日How 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.Personal agentsWorkflow automationAgent memory+2
3:15:52EN
Lex Fridman· 2026年2月11日ポッドキャスト · 2 人The Voice Note His Bot Couldn't Handle — and the Agent That Built Itself Anywayゲスト OpenClaw · ホスト 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.エージェントPersonal agentsエージェント工学+3
1:18:49EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月8日ポッドキャストIf AGI Is Cheap Intelligent Labor, Cyber Defense Should Become Continuous Forensicsホスト Nathan LabenzAsymmetric Security founder Alexis Carlier argues that assuming AGI means redesigning defense around proactive digital forensics instead of alert triage.セキュリティと安全性AI securityエージェント工学+3
スライド 6 枚15:44EN
Matthew Berman· 2026年2月3日OpenClaw, 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.Personal agentsMulti-agent systemsAI security+2
スライド 4 枚1:50:59EN
Matthew Berman· 2026年1月31日Forward 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.RoboticsAI agentsGenerative media+2
スライド12:23EN
Matthew Berman· 2026年1月31日Moltbook: 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.エージェントAI securityAI Safety+1
スライド 2 枚1:07EN
Matthew Berman· 2026年1月26日Matthew 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.Personal agentsAgent memoryWorkflow automation+1
スライド 4 枚21:12EN
Matthew Berman· 2026年1月26日Clawdbot 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.Personal agentsエージェント工学Local inference+2
1:41:34EN
Cognitive Revolution "How AI Changes Everything"· 2025年12月24日ポッドキャストThey Owned the Camera Partition—and Still Couldn't Crash the Helicopterホスト 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.セキュリティと安全性AI security安全性とガバナンス+3
1:13:24EN
Cognitive Revolution "How AI Changes Everything"· 2025年11月30日ポッドキャストRed Teams Still Land 25% of Attacks. Insurance Is the Brake.ホスト 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.セキュリティと安全性AI security安全性とガバナンス+3
40:24EN
Matthew Berman· 2025年11月28日Microsoft’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.エンタープライズ AIインフラとデプロイAI security+2
スライド 4 枚18:04EN
Matthew Berman· 2025年11月16日Anthropic’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.CybersecurityAI securityAI agents+1
59:03EN
20VC with Harry Stebbings· 2025年11月3日ポッドキャスト · 2 人Joelle Pineau on Scaling, Reinforcement Learning and Enterprise AIゲスト Joelle Pineau · ホスト Harry StebbingsCohere’s chief AI officer discusses research uncertainty, agent security, synthetic data and the difference between benchmarks and useful work.Reinforcement LearningAI researchSynthetic data+2
44:10EN
Sequoia Capital· 2025年10月21日ポッドキャストOne 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.セキュリティと安全性AI securityAgent red teaming+3
2:49:12EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月18日ポッドキャストWhy China's Master Plan for AI Never Mentions AGIホスト 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.セキュリティと安全性安全性とガバナンスGeopolitics+3
58:21EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年10月4日ポッドキャスト · 2 人Attacks Take 23 Minutes. Response Still Takes Days.ホスト Sarah Guo, Elad GilPalo Alto Networks CEO Nikesh Arora on how AI is remaking search, enterprise software, and the timeline of a cyberattack.企業と戦略AI securityエンタープライズ AI+3
1:28:17EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月20日ポッドキャストAdam Gleave's Three Capability Tiers: Attack Agents in 5–7 Years, Fully AI Companies Around Year 14ホスト 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.セキュリティと安全性AI security安全性とガバナンス+3
1:32:47EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月13日ポッドキャストA transformer co-author wants a $160 million model no company ownsホスト 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.インフラとデプロイInferenceAI security+3
2:04:27EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月23日ポッドキャストA 10% Chance of an AI-Enabled Coup in the Next 30 Yearsホスト 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.セキュリティと安全性安全性とガバナンスExistential Risk+3
1:51:24EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月20日ポッドキャストFrontier AI Insiders Don't Trust Regulators. A Berlin Group Built Them an Anonymous Off-Rampホスト 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.セキュリティと安全性安全性とガバナンスAI Regulation+3
0:54EN
Matthew Berman· 2025年6月16日Satya Nadella on Separating Personal and Work AI AgentsMatthew Berman, Satya Nadella · Forward FutureIn an interview excerpt, Microsoft CEO Satya Nadella discusses identity boundaries and the risk of data leakage between personal and corporate agents.Privacy & data governancePersonal agentsAI security
1:44:11EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月20日ポッドキャスト100 deaths or $1 billion: a 15-page New York bill would set a floor for frontier labsホスト Nathan LabenzAssembly member Alex Bores walks through the RAISE Act’s four requirements, its DeepSeek-inspired distillation clause, and why he says a 50-state patchwork is a fake problem until one state actually passes a law.セキュリティと安全性安全性とガバナンスAI security+3
2:02:51EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月8日ポッドキャストAt a 60-Person Safety Offsite, Only Four Had Seen Nonprofit OpenAIホスト Nathan LabenzFormer OpenAI scientist Steven Adler on the Anthropic split, GPT-4, safety evaluations, and why he filed a brief to keep the company under nonprofit control.セキュリティと安全性安全性とガバナンス評価(Evals)+3
2:29:00EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月4日ポッドキャストAssume the Model Is Already Scheming — Then Put It to Workホスト Nathan LabenzRedwood Research CEO Buck Shlegeris tells Rob Wiblin how to extract useful labor from AIs you cannot certify as aligned, using audits, honeypots, resampling, and factored cognition.セキュリティと安全性安全性とガバナンスAI security+3
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