Lichtenstein: I suspect that blending the boundary between humans and computers is going to be a much snearer term thing that we're going to have to worry about in this domain. And i think there is a really interesting question about motivations, an the fact that with any living system, we can tell very quickly how to motivate it. We know what it likes, what it dislikes, because we can train it using positive and negative reinforcement. These chimeric constructions are really important to push t to to develop better concepts,. Because we don't know really what it means to have intrinsic preferences or how they might carry over to hybrid devices. All that needs needs a lot of well

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