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Podcast by @garellaprachi and @bhavaytyagi | We talk about Science, Philosophy, Mathematics and everything else.

Joined August 2023
Photo by The Knowmads Podcast (@KnowmadsPodcast)Photo by The Knowmads Podcast (@KnowmadsPodcast)Photo by The Knowmads Podcast (@KnowmadsPodcast)Photo by The Knowmads Podcast (@KnowmadsPodcast)Photo by The Knowmads Podcast (@KnowmadsPodcast)Photo by The Knowmads Podcast (@KnowmadsPodcast)Photo by The Knowmads Podcast (@KnowmadsPodcast)Photo by The Knowmads Podcast (@KnowmadsPodcast)Photo by The Knowmads Podcast (@KnowmadsPodcast)Photo by The Knowmads Podcast (@KnowmadsPodcast)
What happens to science when AI can reason, discover, and maybe even outpace us? We sat down with Scott Aaronson to discuss what it means to be a scientist in the age of AI. youtu.be/Qjgc9Hs5GKs
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Only way to summarise this past summer: The Summer AI Turned Pretty
🤖 Made with AI
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Replying to @rperezmarco
For someone who knows so much about mathematics, you seem remarkably unfamiliar with the concept of a logical argument. :)
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Replying to @TheOnesAncient
That’s only half the story. Simply stated, as training datasets grow, we lose more control over the learned weights, and increasingly complex emergent behaviors arise. Effectively taking the model outside convex hull!
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I agree, the “convex hull” argument seems rather uninformed and therefore pessimistic.
Replying to @Frances01896069
people who understood the NS solution told me that it contains 10 field-shaping breakthroughs as part of the solution. The idea that the models only produce results in the convex hull of human knowledge (whatever that means) is misguided.
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What do people mean when they say that LLMs are "black boxes"?
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