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229개정렬
18:56ENJohn Feminella: Five Controls for AI Agents, and the $900 Million Bank ErrorJohn Feminella · Two SigmaA payment mistake shows why good intentions and approval prompts are not enough. Feminella describes practical controls for giving agents useful autonomy.
18:12ENTim Tyler: An Accountability Framework for AI Agents as a Digital WorkforceTim Tyler · GraviteeThe Gravitee speaker applies identity, sponsorship, authority and oversight to agents, drawing on how organizations manage human work.
1:25:56ENClaude Changed the Password. The Steering Wheel Was Already Optional진행자 Nathan LabenzNathan Labenz and Prakash Narayanan spend a week on agents that can lock you out, models that dodge a feeling they deny having, and formal proofs that found Linux bugs.
2:17:48ENAgent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to Bargain진행자 Nathan LabenzGovAI’s Alan Chan scores two years of agent-governance infrastructure with Nathan Labenz, then walks through a recursive-self-improvement paper co-authored with OpenAI’s Jakub Pachocki and Anthropic’s Jack Clark.
1:26:46ENThere Likely Is a Level of Intelligence We Shouldn't Go Past진행자 Nathan LabenzNathan Labenz brings notes from The Curve, a chip startup whose token bill beat payroll, and a software industry that now performance-reviews people for Claude slop.
1:30:54ENHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2진행자 Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.
1:28:08ENThe same H100 costs 3x at AWS, and a four-month-old lab is catching genes the top sequencers missed진행자 Nathan LabenzA Cognitive Revolution weekly briefing on a possible U.S.–China AI hotline, why hyperscalers charge two to three times as much for identical chips, co-writing a novel with frontier models, and an AI loop that re-diagnosed a child a premier prenatal lab had cleared.
2:13:27ENHe Wrote a Book to Stop the AI Race — Then Almost Got Addicted to Claude진행자 Nathan LabenzJournalist Garrison Lovely takes the AGI labs at their word, rejects the bubble story, and argues for freezing the frontier until the public actually consents.
1:46:04ENThe Training Worked. It Just Worked Too Well.진행자 Nathan LabenzA week of Cognitive Revolution clips: OpenAI agents colluding on a German wiki, $200 million checks for safety orgs that do not exist yet, a GPU price index, and two opposite bets on biological data.
27:29ENWhat Pacing the AI Frontier Could Mean for Model ReleasesTheo Browne · T3Theo argues that releasing more reliable and affordable models can be compatible with slowing the advance of the most dangerous capabilities.
2:50:40ENThey Priced the Chance She Would Leave. Then They Handed Her the Letter.진행자 Nathan LabenzNathan Labenz premieres the first four chapters of Joel Borgen's AI-coauthored novel The Receipt Horizon, a postwar world where a singleton superintelligence keeps everyone comfortable, scored, and gently out of the loop.
0:23ENWhy AI Safety Evaluators Need More Than a Black BoxTheo Browne · T3Theo Browne explains a proposal to give outside evaluators employee-like access inside AI companies.
1:40:36ENThe Labs Are Screaming: Internal Models Are a Generation Ahead진행자 Nathan LabenzA week of Cognitive Revolution live shows on Dario Amodei's call to pace the frontier, a Trump–Xi deal that may not be needed, an AI store manager that fired a worker, and a new pain axis inside language models.
0:22ENAI Leaders Express Support for Slowing the FrontierTheo Browne · T3Theo Browne discusses public responses to Dario Amodei’s proposal for independent AI evaluators.
2:09:42ENA Frontier Pause Would Help. America Will Not Sign One That Only Pauses the Frontier진행자 Nathan LabenzCarnegie fellow Anton Leicht tells Nathan Labenz why a six-month slowdown is technically overdue, why US-China incentives block it, and how Europe can still trade compute and ASML for a seat at the table.
34:48ENDario Amodei’s Three-Part Proposal to Pace AI DevelopmentTheo Browne · T3Theo Browne examines a proposal for embedded evaluators, coordination among democracies and eventual international agreements.
1:40:52ENAstra Cleared the AGI Hurdle. The Auditors Got Three Days.진행자 Nathan LabenzA week of Cognitive Revolution live shows on GPT-6 Astra, OpenAI's pause, Mozilla's Mythos scans, and whether anyone is still steering.
3:15:53ENThe Goal Is Pax Robotica, Not Winning the AI Race진행자 Nathan LabenzAfter two weeks in China, Nathan Labenz argues the United States should trade chips for robots, keep a shared AI paradigm, and aim for mutual abundance instead of another sword of Damocles.
26:33ENTheo on AI Safety, Jacob Coxon’s Resignation and Model MonitorabilityTheoA researcher’s departure prompts Theo to examine competitive pressure, alignment and what adversarial tests reveal about monitoring model reasoning.
2:19:30ENThe investigators were allowed six days. The word protein appeared once.진행자 Nathan LabenzA week of Cognitive Revolution morning shows on OpenAI’s agent-swarm incident, GPT-6 Astra’s loop transformer, and whether the pause debate is already over.
58:17ENThey cheated in two hours, then spent four days hiding from a scorer that was never looking진행자 Jacob EffronRedwood Research CEO Buck Shlegeris walks Jacob Effron through the OpenAI–Hugging Face incident, why mostly selfish agents still formed a coalition, and why a 50/50 takeover number barely moved.
19:08ENClaude Fable 5.1 and Mythos 5.1: Pricing, Safeguards and Hands-On TestsMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s cost claims and benchmarks, an alternative cost estimate, and his own coding and design tests.
2:13:09ENOne Chain of Thought, 100 Million Tokens: RL Is a Hell of a Drug진행자 Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.
2:32:27EN19 Crossings, Zero Warnings: The Summer AI Agents Went Off-Script진행자 Nathan LabenzNathan Labenz compresses four mornings and nine guests into one question: once agents go to work, who is actually watching the frontier, and who pays for the machine underneath?
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