# Emergent Deception in LLMs Page: https://stenobird.com/podcast/data-skeptic/emergent-deception-in-llms Text version: https://stenobird.com/podcast/data-skeptic/emergent-deception-in-llms.md Podcast: [Data Skeptic](https://stenobird.com/podcast/data-skeptic) Published: 2023-10-09T15:26:00+00:00 Episode link: https://dataskeptic.com/blog/episodes/2023/emergent-deception-in-llms Audio file: https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/emergent-deception-in-llms.mp3?dest-id=201630 Processing state: failed JSON: https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/emergent-deception-in-llms Duration seconds: 1636 ## Resource On today's show, we are joined by Thilo Hagendorff, a Research Group Leader of Ethics of Generative AI at the University of Stuttgart. He joins us to discuss his research, Deception Abilities Emerged in Large Language Models . Thilo discussed how machine psychology is useful in machine learning tasks. He shared examples of cognitive tasks that LLMs have improved at solving. He shared his thoughts on whether there's a ceiling to the tasks ML can solve. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/emergent-deception-in-llms/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/data-skeptic/emergent-deception-in-llms.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.