5h ago

X debate examines whether AI can generate novel mathematical proofs, with one argument applying the data processing inequality to claim outputs remain fully determined by axioms and training data

Luca Ambrogioni counters that random inputs add entropy enabling novelty.

โ€”โ€”0โ€”โ€”
Original post

@LucaAmb regardless of the process it combined known ideas in a known way. you could theoretically run it exhaustively without randomness, it would just take much longer

Luca AmbrogioniLuca Ambrogioni@LucaAmb

@yoavgo That does not work because there are random numbers coming it. There is genuinely new entropy involved. At most you can say there is no information concerning the original training dataset, but that's besides the point

8:19 AM ยท May 21, 2026 ยท 604 Views
8:21 AM ยท May 21, 2026 ยท 554 Views

@DimitrisPapail exactly!

Dimitris PapailiopoulosDimitris Papailiopoulos@DimitrisPapail

@yoavgo Thereโ€™s no new information anyways in anything we do, because of the data processing inequality ๐Ÿ˜‚

12:14 PM ยท May 21, 2026 ยท 402 Views
12:39 PM ยท May 21, 2026 ยท 74 Views

@yoavgo Thereโ€™s no new information anyways in anything we do, because of the data processing inequality ๐Ÿ˜‚

(((ู„()(ู„() 'yoav))))๐Ÿ‘พ(((ู„()(ู„() 'yoav))))๐Ÿ‘พ@yoavgo

where are the information theory people who will tell us there is no new information in the proof because of the data processing inequality?

7:18 AM ยท May 21, 2026 ยท 6.3K Views
12:14 PM ยท May 21, 2026 ยท 402 Views

@yoavgo That does not work because there are random numbers coming it. There is genuinely new entropy involved.

At most you can say there is no information concerning the original training dataset, but that's besides the point

(((ู„()(ู„() 'yoav))))๐Ÿ‘พ(((ู„()(ู„() 'yoav))))๐Ÿ‘พ@yoavgo

where are the information theory people who will tell us there is no new information in the proof because of the data processing inequality?

7:18 AM ยท May 21, 2026 ยท 6.3K Views
8:19 AM ยท May 21, 2026 ยท 604 Views

That's the library of babel, is equivalent to random sampling, you are just immagining all the samples to exist at once, but it is just a layer of immagination

The entropy is in the space of initial configuration, not it is just expressed as Kolmogorov instead of Shannon entropy, but it is a matter of perspective

(((ู„()(ู„() 'yoav))))๐Ÿ‘พ(((ู„()(ู„() 'yoav))))๐Ÿ‘พ@yoavgo

@LucaAmb regardless of the process it combined known ideas in a known way. you could theoretically run it exhaustively without randomness, it would just take much longer

8:21 AM ยท May 21, 2026 ยท 554 Views
8:29 AM ยท May 21, 2026 ยท 356 Views
X debate examines whether AI can generate novel mathematical proofs, with one argument applying the data processing inequality to claim outputs remain fully determined by axioms and training data ยท Digg