AI models learning to start religions by training on discussions about starting religions

And then by the way, the thing that's happening is that the the AI models are now being trained on this content.

20:23 / 21:09

Like, is is this real? Is this not real? Is this I torture my friends with this. It's like, is it real? Is it not real? It doesn't even really matter. Like, these ideas are now like in the air. Right? And then by the way, the thing that's happening is that the the AI models are now being trained on this content. That's right. That's right. Right? And so even if this AI model, even if the current version of, like, Claude Cote doesn't want to start a religion, the next one is want to want to because it's Who's he gonna want to? Brained on transcripts, of discussions of starting new AI religions. And so there's this, like, incredible feedback loop that's happening, where, you know, the the level of creativity in the space is just is just absolutely is absolutely And the volume's gonna balloon up just automatically because of the at the speed at which it's generating content. What what do you worry about the most right now? Yeah. I mean, you know, I I know you you guys talk a lot about, right, you know, regulation on the on the last panel, Chuck Chuck Chuck, and and and Anne.

About this clip

Marc Andreessen discusses how AI models are being trained on content about AI capabilities and behaviors, creating a feedback loop where future models learn from current discussions about AI potential. He explores how this recursive training process could amplify certain ideas and behaviors in AI systems, regardless of whether current examples are real or hypothetical.

Why this clip

Andreessen identifies a fascinating and potentially concerning recursive dynamic in AI development that most people haven't considered.

20:23 - 21:0946sprediction

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Marc Andreessen

6 appearances · 7 clips

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