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This is as good a time as any to note that we might be closing in on a new conceptual revolution in our own time as it relates to holography and an information centric approach to spacetime. Obviously It's the furthest possible thing from a guarantee, but it has much of the enthusiasm and motivation that string theory had previously enjoyed in prior decades.

So it could be a natural experiment for whether AI can contribute to novel physics. Specifically, there's a big question about weather. Something like our informational understanding of black holes where information inside it is equivalent to information on its boundary (which I'm sure I'm not saying correctly), might be generalized to regular space-time. More people should be freaking out with excitement about this and perhaps it's something to which AI can contribute.

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Do you have anywhere you recommend where I can read more on this?
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Honestly I don't think I have single great article, though some Quanta ones are ok, and the Wikipedia article is okay.

The best thing I can recommend is what I did, which is ask Claude about the significance of (1) quantum computing error correction, and (2) error correction in black hole holography and research convergence between the two.

https://en.wikipedia.org/wiki/Holographic_principle

https://www.quantamagazine.org/how-space-and-time-could-be-a...

Edit: this whole article, despite it's boring title and hook, is maybe the best discussion of holography as a recent and active research frontier.

https://www.quantamagazine.org/if-the-universe-is-a-hologram...

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There was symbolic AI programs in the 1980’s that “discovered” Kepler’s laws and the resulting solar system model from just tycho brache’s astronomical observations. That was the the very first “new physics” ever.
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i wonder if we could train a modal, and omit all data prior to 1899, and see what happens?
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Do you mean after? People do this!! But I think it’s a bit different. It won’t be apples to apples because the data volume I think is just so much different. Maybe there are good experiments for something like this.
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as always, as good as its prompt...
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