From Newsgroup: comp.lang.prolog

Hi,

Ok, thats noice:

"On a GPU cluster, the ratio of high computing
power to communication bandwidth makes scaling
breadth-first search (BFS) on a scale-free
graph extremely challenging."

Scalable Breadth-First Search on a GPU Cluster
Yuechao Pan, Roger Pearce, John D. Owens
2018 - Lawrence Livermore National Laboratory
https://arxiv.org/abs/1803.03922

Sniff, still passed the deadline Q1 2026 for
my GigaLIPS Prolog. There were so many other
improvements , more low hanging fruits to cover.

Bye

P.S.: Wanna rent some GPUs?

Cloud GPU Index
Compare 2,542 GPU prices across 57 cloud providers https://getdeploying.com/gpus


Mild Shock schrieb:

Hi,

At least John Sowa is not panicing when
he bashes LLM. Here is another video by him,
where he pulls all registers:

Without Ontology LLMs are Clueless by JohnSowa https://www.youtube.com/watch?v=t7wZbbISdyA

One could adopt his stance, including spreading
rumors that are not completely true for LLMs, since
LLMs do also represent ontologies.

Just make a test, take any of John Sowas drawings:

https://www.jfsowa.com/ontology/

Now ask ChatGPT:

Q: give me an overview of the beverages
that humans consume

A: Humans consume a wide variety of beverages,
broadly categorized based on their preparation,
ingredients, and purpose. HererCOs an overview:

1. Water
[...]
2. Non-Alcoholic Beverages
a. Hot Beverages
[...]
b. Cold Beverages
[...]
3. Alcoholic Beverages
[...]
4. Functional Beverages
[...]
5. Cultural and Specialty Beverages
[...]
6. Specialty and Regional Drinks
[...]

These beverages serve various roles, from hydration
and nutrition to cultural traditions, relaxation,
and social interaction.

Woa!

Bye

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