INFORMAZIONI SU QUESTO EPISODIO

Inglese
Stati Uniti

TRASCRIZIONE 🔗

CERCA TRA GLI EPISODI PASSATI

Cerca gli episodi passati di AI:AM.

ALTRI EPISODI IN QUESTO PODCAST

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. Max Nadeau of Coefficient Giving then explains why audits can…
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 former drug-development lab to test uncertain genetic variants …
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 Gladstone AI explain GPU pricing and compute benchmarks, AI …
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 conversation also covers model distillation, recursive self-…
Dichiarazione di non responsabilità: Il podcast e la grafica incorporati in questa pagina provengono da Prakash Narayanan & Nathan Labenz, che è di proprietà del suo proprietario e non è affiliato o approvato da Listen Notes, Inc.