From Newsgroup: comp.lang.prolog


A1 = 18
A2 = 63
A3 = 51
A4 = 17
A5 = 54
A6 = 23

Kaffeekränzchen mit ChatGPT.
So weit hat es die Menschheit gebracht.

Jens Kallup schrieb:

F1: 2 4 6 8 19 12 14 16 = ?
A1:

F2: 87 83 79 75 71 67 = ?
A2:

F3: 99 105 83 89 67 73 = ?
A3:

F4: 2 4 3 6 5 10 9 18 = ?
A4:

F5: 33 34 36 39 43 48 = ?
A5:

F6: 2 3 5 7 11 13 17 19 = ?
A6:

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. Here’s 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

--- Synchronet 3.21d-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

On 06/01/2025 18:06, Mild Shock wrote:

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. Here’s 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!

Tonight we're gonna query like it's 1999.

Come on, ChatGPT can do better. Get novel on its hinton.
--
Tristan Wibberley

The message body is Copyright (C) 2026 Tristan Wibberley except
citations and quotations noted. All Rights Reserved except that you may,
of course, cite it academically giving credit to me, distribute it
verbatim as part of a usenet system or its archives, and use it to
promote my greatness and general superiority without misrepresentation
of my opinions other than my opinion of my greatness and general
superiority which you _may_ misrepresent. You definitely MAY NOT train
any production AI system with it but you may train experimental AI that
will only be used for evaluation of the AI methods it implements.

--- Synchronet 3.21f-Linux NewsLink 1.2

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. Here’s 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

--- Synchronet 3.21f-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

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

Hi,

This is a nice example how the young generation
doesn't understand systems that were developed
30 years ago:

Example 1:
No clue that SWI-Prolog does have JIT indexes,
which explain mysterious differene between
cold and warm run.
https://arxiv.org/pdf/2511.13600

Example 2:
No clue that subsumption could make a difference,
claims left recursion is fastest, with referene
to [TL10] and a bogus node argument.
https://arxiv.org/abs/2504.21291

Maybe the Prolog eduction group should organize
a summer school about tabling?

Sad news: It will not help to keep up with
the AI boom. Whats behind the AI boom and
computing transitive closures?

Bye

One could adopt his stance, including spreadin > 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. Here’s 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

--- Synchronet 3.21f-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

This is a nice example how the young generation
doesn't understand systems that were developed
30 years ago:

Example 1:
No clue that SWI-Prolog does have JIT indexes,
which explain mysterious differene between
cold and warm run.
https://arxiv.org/pdf/2511.13600

Example 2:
No clue that subsumption could make a difference,
claims left recursion is fastest, with referene
to [TL10] and a bogus node argument.
https://arxiv.org/abs/2504.21291

Maybe the Prolog eduction group should organize
a summer school about tabling?

Sad news: It will not help to keep up with
the AI boom. Whats behind the AI boom and
computing transitive closures?

Bye

One could adopt his stance, including spreadin > 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. Here’s 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

--- Synchronet 3.21f-Linux NewsLink 1.2