From Newsgroup: sci.physics.relativity

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, ChineserCa);

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

Mild Shock schrieb:

Hi,

A nosomatic AI chirurgeon is a halfling student
of sickness, and a master of the ebb and flow of
the energies of life and death of data packets.

He is a air bender, water bender and earth bender
in one person, using OpenVINO to juggle with
CPU, GPU and NPU.

Last but not least he can freely switch between
symbolic and neural representation of knowledge
forms, there is no abyss for him.

Bye

Mild Shock schrieb:

Hi,

The nature of time has puzzled people -- from the ancient
Greeks to the present day -- Especially the nosomatic
perception of time is a hot topic now.

How does time evolve inside a GPU with multiple units
or a CPU with multiple cores. GPUs even having multiple
logical threads inside a group.

Forget the von Neumann model of computing. You need
a total new thinking of shared memory and more
message passing, and have a grip of vector and

matrix tiling of problems. -C-WAM already deploys
logic tiling in its Seven Eleven demonstrator. So forget
everything you have learned in your BASIC computer

course for your Sputnik Commodore C64 with 8088.

Bye

--- Synchronet 3.22a-Linux NewsLink 1.2

From Newsgroup: sci.physics.relativity

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,.rCorCo, 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, ChineserCa);

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

--- Synchronet 3.22a-Linux NewsLink 1.2

From Newsgroup: sci.physics.relativity



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,.rCorCo, 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, ChineserCa);

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

--- Synchronet 3.22a-Linux NewsLink 1.2