Technology

AI:AM

by Prakash Narayanan & Nathan Labenz

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Latest episodes

AI:AM — AI Memory Chips, Agent Rankings and AI-Powered Networking · October 28, 2026

October 29, 2026 · 1 hr 16 min

Kepler Computing CEO Debo Olaosebikan explains how ferroelectric memory could increase cache density and improve high-bandwidth memory using standard fab equipment. Arena CEO Anastasios Angelopoulos discusses agent evaluation, alignment…
AI:AM — GPU Markets, Government AI Spending, and the Physical AI Supply Chain · October 22, 2026

October 23, 2026 · 56 min

SF Compute co-founder and CEO Evan Conrad breaks down GPU rental pricing, financing, and the credit pressures facing AI labs, while Cambrian managing partner Lonis Hamaili examines how cyberattacks could drive government demand for secure…
AI:AM — AI Regulation, Anthropic’s Draft Bill, and the Federal Oversight Gap · October 21, 2026

October 22, 2026 · 53 min

Zvi Mowshowitz, author of Don’t Worry About the Vase, joins Prakash Narayanan and Nathan Labenz to discuss Anthropic’s proposed AI bill, state preemption, and whether federal oversight could leave a gap in protections. They also examine AI…
AI:AM — AI Hidden States, Fruit Fly Brain Simulation, and Archival Film · October 14, 2026

October 15, 2026 · 1 hr 7 min

Cameron Berg of Reciprocal Research discusses OLMo experiments in which DPO preference training made hidden positive and negative states causally relevant to choices, while emphasizing that this is not proof of consciousness. Phil Maher of…
AI:AM — AI-Generated Code, Formal Verification, and Agent Security · October 12, 2026

October 13, 2026 · 1 hr 2 min

Runtime Verification CEO Everett Hildenbrandt and founder Grigore Rosu discuss AI-generated code, formal verification, Linux kernel rewrites, and the human role in setting specifications and reviewing evidence. Prakash Narayanan and Nathan…

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AI:AM — AI Safety Strategy, Cyberattack Resilience, and Workplace Agent Benchmarks · October 7, 2026

October 8, 2026 · 1 hr 4 min

Atlas 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…
AI:AM — AI Coding Agents, Chip Design, and the Value of Human Judgment · October 6, 2026

October 7, 2026 · 1 hr 1 min

Thomas 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…
AI:AM — AI Genetics and Rare-Disease Diagnosis · September 30, 2026

October 5, 2026 · 1 hr 8 min

Joel 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…
AI:AM — AI Agent Security, GPU Markets, and the Risk of an AI Chernobyl · September 28, 2026

September 29, 2026 · 3 hr 14 min

Hosts 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…
AI:AM — Human Tissue Models, Physical AI, and the Future of Testing · September 25, 2026

September 26, 2026 · 2 hr 52 min

Vivodyne’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…
AI:AM — Beyond Safety Scores: Funding Structural Alignment · September 23, 2026

September 23, 2026 · 2 hr 54 min

Prakash 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…
AI:AM — When Safety Tests Fail · September 21, 2026

September 21, 2026 · 2 hr 14 min

Prakash 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…