# Assessing the Risks of Open AI Models with Sayash Kapoor - #675 Page: https://stenobird.com/podcast/twiml-ai-podcast/assessing-the-risks-of-open-ai-models-with-sayash-kapoor-675 Text version: https://stenobird.com/podcast/twiml-ai-podcast/assessing-the-risks-of-open-ai-models-with-sayash-kapoor-675.md Podcast: [The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)](https://stenobird.com/podcast/twiml-ai-podcast) Published: 2024-03-11T18:09:00+00:00 Episode link: https://twimlai.com/podcast/twimlai/assessing-the-risks-of-open-ai-models/ Audio file: https://pscrb.fm/rss/p/traffic.megaphone.fm/MLN8468113294.mp3?updated=1710180142 Processing state: failed JSON: https://stenobird.com/v1/public/podcasts/twiml-ai-podcast/episodes/assessing-the-risks-of-open-ai-models-with-sayash-kapoor-675 Duration seconds: 2426 ## Resource Today we’re joined by Sayash Kapoor, a Ph.D. student in the Department of Computer Science at Princeton University. Sayash walks us through his paper: "On the Societal Impact of Open Foundation Models.” We dig into the controversy around AI safety, the risks and benefits of releasing open model weights, and how we can establish common ground for assessing the threats posed by AI. We discuss the application of the framework presented in the paper to specific risks, such as the biosecurity risk of open LLMs, as well as the growing problem of "Non Consensual Intimate Imagery" using open diffusion models. The complete show notes for this episode can be found at twimlai.com/go/675. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/twiml-ai-podcast/episodes/assessing-the-risks-of-open-ai-models-with-sayash-kapoor-675/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/twiml-ai-podcast/assessing-the-risks-of-open-ai-models-with-sayash-kapoor-675.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.