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Groups > comp.lang.prolog > #14508
| From | Mild Shock <janburse@fastmail.fm> |
|---|---|
| Newsgroups | comp.lang.prolog |
| Subject | Denoising Fixpoint Operator in Prolog (Was: BigNums: JavaScript is killing it [Node.js v24.0.1]) |
| Date | 2025-05-14 11:59 +1000 |
| Message-ID | <1000ted$kft4$1@solani.org> (permalink) |
| References | <vvouv0$gt77$1@solani.org> |
Prolog and logic programming has traditionally payed a lot of attention to fix point theory. For example one can defin the least herbrand model of a definite program. Anybody already experimented in pure Prolog code with stable diffusion, aka a fixpoint operator that is a denoising autoencoder and do the thing as a kernel operator over a grid? P.S.: Interesting fixpoint scenarios and maybe even new hardware: GENERATIVE PSEUDO-INVERSE MEMORY https://openreview.net/pdf?id=Harn4_EZBw Mild Shock schrieb: > Hi, > > Just noticed that Node.js v24.0.1 has mostlikely > faster BigNums. Here is some test: > > /* Dogelog Player 1.3.3 for JavaScript */ > ?- time(_ is 7^(8^9)). > % Zeit 3813 ms, GC 0 ms, Lips 5, Uhr 11.05.2025 11:31 > true. > > Not bad , current bun.js cannot do it. And it is > almost like this here based on GMP: > > /* SWI-Prolog 9.3.21 */ > ?- time(_ is 7^(8^9)). > % 0 inferences, 1.594 CPU in 1.677 seconds > true > > Bye
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BigNums: JavaScript is killing it [Node.js v24.0.1] Mild Shock <janburse@fastmail.fm> - 2025-05-11 11:36 +1000 Denoising Fixpoint Operator in Prolog (Was: BigNums: JavaScript is killing it [Node.js v24.0.1]) Mild Shock <janburse@fastmail.fm> - 2025-05-14 11:59 +1000
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