3min chapter

Machine Learning Street Talk (MLST) cover image

Prof. Murray Shanahan - Machines Don't Think Like Us

Machine Learning Street Talk (MLST)

CHAPTER

Navigating AI Behavior: The Implications of RLHF and Alternative Approaches

This chapter explores Reinforcement Learning from Human Feedback (RLHF) and its effects on AI behavior, particularly focusing on the 'Waluigi Effect,' where performance can deteriorate unexpectedly. The discussion also highlights challenges in ensuring model alignment and considers alternative strategies such as constitutional AI for improving AI outcomes.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode