Why Language Models are suck ups and how this can be bad for learning

Ed-Technical

Contenu fourni par Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Owen Henkel & Libby Hills, Owen Henkel, and Libby Hills ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

4M ago 11:56

MP3•Maison d'episode

In this short, Libby and Owen discuss recent research from Anthropic looking at sycophancy – the tendency to agree with users – in large language models (LLMs), and key research from educational psychology about how important feedback is for learning. Libby and Owen connect the two papers and explore why sycophancy is especially a problem when it comes to using LLMs for educational purposes.

Links:

Join us on social media:

BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel)
Listen to all episodes of Ed-Technical here: https://bold.expert/ed-technical
Subscribe to BOLD’s newsletter: https://bold.expert/newsletter
Stay up to date with all the latest research on child development and learning: https://bold.expert

Credits: Sarah Myles for production support; Josie Hills for graphic design

27 episodes

#Arts #Owen