AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
Jeremie Harris: Realistic Alignment and AI Policy
The Gradient: Perspectives on AI
The Importance of Inference in Deep Neural Networks
When we try to do theory work on deep neural networks, a lot of classical machine learning theory tends to break apart. I think there are important differences here so I don't know how much is inference holds up but it's notable when we think about the idea that certain people would like something that is provable justifiable. When it comes to some alignment results, we might want when I'm just analyzing the behavior of a neural network on its own, not considering alignment. That's something we still don't have a handle on.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
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