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Estimating P(doom E-graphs) to < 10% (Was: The future Numa Brains will be gorgeous)

Cross-posted to 3 groups.

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Hi,

Yesterday I had the feeling P(doom E-graphs) > 10%,
since they have E-boost intiatives where they use
parallism and more heuristics, also tapping into GPUs,

TPUs, NPUs, etc.. you name it. So Prolog might sooner
or later feel the wind of E-boost Schinkansen? Now
I have the feeling the E-graph community is still

in the nowhere of la la land. Reading:

recording out of egraphs
https://www.philipzucker.com/

WTF is "recording out" ? Look at that beauty of
SWI-Prolog unifiable/3 predicate. It can even deal
with cyclic terms:

?- unifiable(f(X,X,X),f(Z,b,Y), L).
L = [Y=b, X=b, Z=X].

?- unifiable(f(X,Y),f(f(A,Y),f(B,X)), L).
L = [Y=f(B, X), X=f(A, Y)].

You can even code unifiable/3 in 100% Prolog itself,
BTW I am not saying it would be pure. But it wont need
any extensions that go beyond ISO core standard.

You could even experiment with a unification that
does minimization (*), but most Prolog systems don't
do that for their unification:

?- unifiable(X, f(f(X)), L).
L = [X=f(f(X))].

Bye

(*)
Gerhard Huet was all in for minimizations, but the sad
news is while terms have minimal forms, equations don't
really have unique minimal forms, this transpired only later.

RESOLUTION D'EQUATIONS DANS DES LANGAGES D'ORDRE 1,2,.••,
https://www.researchgate.net/publication/213879499

Algorithms for equivalence and reduction to minimal form
https://hal.science/hal-01239749v1/document

Mild Shock schrieb:
> Hi,
> 
> Non-uniform memory access (NUMA) is a computer
> memory design used in multiprocessing, where the
> memory access time depends on the memory location
> relative to the processor.
> 
> The future Numa Brains will be gorgeous. In like
> 3-4 years from now, they might have 3.2 TB RAM
> on a SOC, by not using HBM but HBF:
> 
> High Bandwidth Flash: What Is It Good For?
> https://www.youtube.com/watch?v=3nTpW52nioI
> 
> There might be new profession like nosomatic
> AI chirurgeon (I made that up):
> 
> Tiny engine, immense model
> https://github.com/JustVugg/colibri
> 
> The Brain page, Explore: the measured expert
> atlas of GLM-5.2 drawn as a cortex. 13,260
> characterised experts in ten regions (Python,
> SQL, mathematics, poetry, law, Chinese…);
> 
> position is measured routing affinity, not a
> learned embedding. We might want a brain to
> amputate from the Python expert sections, so
> 
> that we can write code without a slow
> CPython runtime.
> 
> Bye

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