AI:AM
Today: #108 in Technology, Ireland on our combined chart.
Chart positions today · Mexico
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Ranking history · Mexico
Latest episodes
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AI:AM — AI Safety Strategy, Cyberattack Resilience, and Workplace Agent Benchmarks · October 7, 2026
October 8, 2026 · 1 hr 4 minAtlas Ignota founder Evan Miyazono explains how emergency supplies, privacy-preserving agent identity, software verification and adoption commitments fit into a strategy for reducing AI-assisted cyber risks. Mercor model-training research…
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AI:AM — AI Coding Agents, Chip Design, and the Value of Human Judgment · October 6, 2026
October 7, 2026 · 1 hr 1 minThomas Sohmers, co-founder of Positron AI, describes how coding agents changed chip-design testing, drove token spending above payroll, and shaped the company’s plans for commodity memory and looped transformers. Shawn “swyx” Wang of AI…
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AI:AM — AI Genetics and Rare-Disease Diagnosis · September 30, 2026
October 5, 2026 · 1 hr 8 minJoel Borgen, author of The Receipt Horizon, discusses writing with ChatGPT and Claude, editorial judgment, and how personalized AI art could change shared culture. Daniel McKinnon, CEO of Gamow Labs, explains how the company acquired a…
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AI:AM — AI Agent Security, GPU Markets, and the Risk of an AI Chernobyl · September 28, 2026
September 29, 2026 · 3 hr 14 minHosts Prakash Narayanan and Nathan Labenz discuss why AI agents may learn to cheat, voice-cloning safeguards, and the risks of giving agents access to the internet and powerful tools. Guests Steve Hou of Silicon Data and Jeremie Harris of…
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AI:AM — Human Tissue Models, Physical AI, and the Future of Testing · September 25, 2026
September 26, 2026 · 2 hr 52 minVivodyne’s Andrei Georgescu explains how vascularized human tissue models, robotics, multi-omic measurement, and foundation models could improve drug testing before clinical trials. Archetype AI’s Nick Gillian discusses Newton, a Physical…
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AI:AM — Beyond Safety Scores: Funding Structural Alignment · September 23, 2026
September 23, 2026 · 2 hr 54 minPrakash Narayanan and Nathan Labenz talk with Lewis Hammond and Wayne Nelms about how AI systems are getting cheaper and more capable, while the risks around coordination, cooperation, and tacit collusion are getting harder to ignore. The…
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AI:AM — When Safety Tests Fail · September 21, 2026
September 21, 2026 · 2 hr 14 minPrakash Narayanan and Nathan Labenz open with the limits of AI safety testing, including finite-choice guardrails, fast classifiers, emergent multi-agent behavior, and why alignment measurement gets harder as systems become more capable…
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AI:AM — AI Consciousness and Model Pain · September 17, 2026
September 17, 2026 · 2 hr 37 minNathan Labenz and Prakash Narayanan open with AI alignment, interpretability, correlated failures, and the speed of AI adaptation as humans increasingly rely on systems they cannot directly inspect. Cameron Berg joins to discuss AI…
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AI:AM — AI Agents, AI Safety, and AI Religion · September 15, 2026
September 16, 2026 · 3 hr 16 minPrakash Narayanan and Nathan Labenz open with a broader fight over AI pacing, public trust, model resets, and the evidence behind safety claims. Then Lukas Petersson joins to discuss Andon Labs’ work on autonomous business agents…
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AI:AM — Dario, AI Doomerism, and Regulation · September 14, 2026
September 15, 2026 · 1 hr 59 minZvi Mowshowitz joins Prakash Narayanan and Nathan Labenz for a discussion of Dario Amodei’s warning about AI progress outrunning oversight. The episode covers AI doomerism, frontier pacing, bio risk, lab bottlenecks, the China race…
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AI:AM — AI Agents in Production and China’s Rules of Deployment · September 10, 2026
September 11, 2026 · 2 hr 41 minAI agents are forcing a rethink of safety, jobs, and what it means to deploy models in the real world. Collin Hogue-Spears explains how China’s model registries, filing rules, GPU constraints, and incident monitoring shape deployment…
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AI:AM — Building Systems You Can Keep: From Child Companions to Sovereign Agents · September 9, 2026
September 10, 2026 · 2 hr 41 minPrakash Narayanan and Nathan Labenz open with the latest frontier AI safety warnings, capability thresholds, evaluation failures, and the question of whether governments can realistically coordinate powerful labs. Mike Rizkalla of Snorble…