From Newsgroup: comp.lang.prolog

Hi,

How it started:

AI is cutting 16,000 U.S. jobs a month—and
Gen Z is taking the brunt, Goldman Sachs says
Under the model, an occupation scores high
on substitution risk when AI can handle most
of its core tasks, like insurance claims
clerks and bill collectors. https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/

How its going:

My thoughts on 5.3 after using it for a while
"I’m not trying to say 5.3 is terrible or anything.
It just feels more restricted than before, and the
change is noticeable if you used the previous
models a lot. Hopefully future updates balance
things out a bit better. https://www.reddit.com/r/ChatGPTcomplaints/comments/1ro3fem/my_thoughts_on_53_after_using_it_for_a_while/

Lets face it its complete rubbish, its the
Shiiit, I have dissolved my OpenAI account.

Bye
--- Synchronet 3.21f-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

If LLMs are now 8x times more compressed, a model
that required 32 GB, now requires 4 GB? Right?
So I am toying around with my brand new Mac Ne-Meow,

which has only 8 GB RAM, but the hardware build is
such, that TMC placed the RAM directly on top of
the A18 CPU, which itself has an AI Accelerator.

You can ask, using oMLX and Gemma-4-e2b-it-4bit:

Q: Is 477773 a prime number
A: .. bla bla ..
Since 477773 has factors other than 1
and itself (specifically, 151 and 3169),
477773 is not a prime number.

Woa! The Grand Finale is a lie:

151 x 3169 = 478519

Almost like Timothy Chow claiming we know PA
consistent. Except Gemma wasn't even wrong:

41 x 11653 = 477773

Say hello to MacBook Neo https://www.apple.com/newsroom/2026/03/say-hello-to-macbook-neo/

New AI Model Runner (oMLX)
https://www.youtube.com/watch?v=EsLwzxTz-A4

Mild Shock schrieb:

Hi,

How it started:

AI is cutting 16,000 U.S. jobs a month—and
Gen Z is taking the brunt, Goldman Sachs says
Under the model, an occupation scores high
on substitution risk when AI can handle most
of its core tasks, like insurance claims
clerks and bill collectors. https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/

How its going:

My thoughts on 5.3 after using it for a while
"I’m not trying to say 5.3 is terrible or anything.
It just feels more restricted than before, and the
change is noticeable if you used the previous
models a lot. Hopefully future updates balance
things out a bit better. https://www.reddit.com/r/ChatGPTcomplaints/comments/1ro3fem/my_thoughts_on_53_after_using_it_for_a_while/

Lets face it its complete rubbish, its the
Shiiit, I have dissolved my OpenAI account.

Bye

--- Synchronet 3.22a-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

Some clever guy has just published a tin opener, for LLMs.
They are indeed graph models, only baked into artificial
neural networks. Namely the knowledge part of an LLM. People

familiar with chat80 might recognize this type of knowledge:

larql> DESCRIBE "France";
France
Edges (L14-27):
capital → Paris 1436.9 L27 (probe)
language → French 35.2 L24 (probe)
continent → Europe 14.4 L25 (probe)
borders → Spain 13.3 L18 (probe)

The tin opener is called LARQL (with Lazarus Query
Language), it decompiles transformer models into a
queryable format called a vindex. The tin opener also

allows to modify models. Due to space constraints, the
knowledge might not contain provenance edges. Depending
on the model it can be a ground truth with high confidence.

See also:

LLMs Are Databases - So Query Them
Chris Hay - 13.04.2026
https://www.youtube.com/watch?v=8Ppw8254nLI

LARQL - The model IS the database
chrishayuk - GitHub
https://github.com/chrishayuk/larql

Bye

Mild Shock schrieb:

Hi,

If LLMs are now 8x times more compressed, a model
that required 32 GB, now requires 4 GB? Right?
So I am toying around with my brand new Mac Ne-Meow,

which has only 8 GB RAM, but the hardware build is
such, that TMC placed the RAM directly on top of
the A18 CPU, which itself has an AI Accelerator.

You can ask, using oMLX and Gemma-4-e2b-it-4bit:

Q: Is 477773 a prime number
A: .. bla bla ..
   Since 477773 has factors other than 1
   and itself (specifically, 151 and 3169),
   477773 is not a prime number.

Woa! The Grand Finale is a lie:

151 x 3169 = 478519

Almost like Timothy Chow claiming we know PA
consistent. Except Gemma wasn't even wrong:

41 x 11653 = 477773

Say hello to MacBook Neo https://www.apple.com/newsroom/2026/03/say-hello-to-macbook-neo/

New AI Model Runner (oMLX)
https://www.youtube.com/watch?v=EsLwzxTz-A4

Mild Shock schrieb:

Hi,

How it started:

AI is cutting 16,000 U.S. jobs a month—and
Gen Z is taking the brunt, Goldman Sachs says
Under the model, an occupation scores high
on substitution risk when AI can handle most
of its core tasks, like insurance claims
clerks and bill collectors.
https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/


How its going:

My thoughts on 5.3 after using it for a while
"I’m not trying to say 5.3 is terrible or anything.
It just feels more restricted than before, and the
change is noticeable if you used the previous
models a lot. Hopefully future updates balance
things out a bit better.
https://www.reddit.com/r/ChatGPTcomplaints/comments/1ro3fem/my_thoughts_on_53_after_using_it_for_a_while/


Lets face it its complete rubbish, its the
Shiiit, I have dissolved my OpenAI account.

Bye

--- Synchronet 3.22a-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

I had it already in 2023, see below,
and then in 2024 or 2025 I posted on meta
stackoverflow that they should accept

AI answers. But my post was deleted,
for example hardmath didn't like my
**mostlikely** estimate. But this is

the way you predict the future, with
uncertainty, right? This uncertainty
then turns into more and more certainty

and here we go, 1605 questions in 2026-04-01 !

Questions per month since 2009 https://data.stackexchange.com/stackoverflow/query/1875459/questions-per-month-since-2009#gra

Adios, my friend
https://9gag.com/gag/aMVoYLV

Goodbye Stack Exchange Assholes!

Bye

"
Interestingly the Stack Overflow Admins are more criminal
than the Putin Poudle. They disown your content and you can
even not anymore delete your own stuff. Given the fact how
many people endure the tirrany of Stack Overflow Admins,

because they believe the narrative of the greater good of
Stack Overflow, whereas these criminal jerks(*) are just professional
content thiefs, you can extrapolate how much brainwash is
possible and what a country populace will endure when it is weak.

Most eastern people are weak, you can bribe them with Vodka.

(*)
The situation in Stack Overflow only went unnoticed since
this notorious thiefs had no competition. But the situation has
probably changed, there is Quora etc..(**) The same in Ukraine,
there is probably now not only the east, but also the west, who would

like to brainwash the country. But can the USA offer enough Vodka?

(**)
You also see the detrimental effect of the criminal behaviour,
the Stack Overflow sites are full with bitrot. These idiot criminals
are worse than Gollum, they think every posted piece is a jewel,
and they never let go, even if it is outdated nonsense.
"
https://groups.google.com/g/comp.lang.prolog/c/AyrzzGKDPrc/m/b74ekiWOAgAJ


Mild Shock schrieb:

Hi,

Some clever guy has just published a tin opener, for LLMs.
They are indeed graph models, only baked into artificial
neural networks. Namely the knowledge part of an LLM. People

familiar with chat80 might recognize this type of knowledge:

larql> DESCRIBE "France";
France
  Edges (L14-27):
    capital     → Paris              1436.9  L27  (probe)
    language    → French               35.2  L24  (probe)
    continent   → Europe               14.4  L25  (probe)
    borders     → Spain                13.3  L18  (probe)

The tin opener is called LARQL (with Lazarus Query
Language), it decompiles transformer models into a
queryable format called a vindex. The tin opener also

allows to modify models. Due to space constraints, the
knowledge might not contain provenance edges. Depending
on the model it can be a ground truth with high confidence.

See also:

LLMs Are Databases - So Query Them
Chris Hay - 13.04.2026
https://www.youtube.com/watch?v=8Ppw8254nLI

LARQL - The model IS the database
chrishayuk - GitHub
https://github.com/chrishayuk/larql

Bye

Mild Shock schrieb:

Hi,

If LLMs are now 8x times more compressed, a model
that required 32 GB, now requires 4 GB? Right?
So I am toying around with my brand new Mac Ne-Meow,

which has only 8 GB RAM, but the hardware build is
such, that TMC placed the RAM directly on top of
the A18 CPU, which itself has an AI Accelerator.

You can ask, using oMLX and Gemma-4-e2b-it-4bit:

Q: Is 477773 a prime number
A: .. bla bla ..
    Since 477773 has factors other than 1
    and itself (specifically, 151 and 3169),
    477773 is not a prime number.

Woa! The Grand Finale is a lie:

151 x 3169 = 478519

Almost like Timothy Chow claiming we know PA
consistent. Except Gemma wasn't even wrong:

41 x 11653 = 477773

Say hello to MacBook Neo
https://www.apple.com/newsroom/2026/03/say-hello-to-macbook-neo/

New AI Model Runner (oMLX)
https://www.youtube.com/watch?v=EsLwzxTz-A4

Mild Shock schrieb:

Hi,

How it started:

AI is cutting 16,000 U.S. jobs a month—and
Gen Z is taking the brunt, Goldman Sachs says
Under the model, an occupation scores high
on substitution risk when AI can handle most
of its core tasks, like insurance claims
clerks and bill collectors.
https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/


How its going:

My thoughts on 5.3 after using it for a while
"I’m not trying to say 5.3 is terrible or anything.
It just feels more restricted than before, and the
change is noticeable if you used the previous
models a lot. Hopefully future updates balance
things out a bit better.
https://www.reddit.com/r/ChatGPTcomplaints/comments/1ro3fem/my_thoughts_on_53_after_using_it_for_a_while/


Lets face it its complete rubbish, its the
Shiiit, I have dissolved my OpenAI account.

Bye

--- Synchronet 3.22a-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

As the stackoverflow example shows, the crossing
of certain red lines , comes quick. They litterally
had a virtual prison. We know where this leads:

"Der Minderjährige wurde als „Volksschädling“
wegen eines Bagatelldelikts hingerichtet. Der
Fall Wróbel wurde vom Nazi-Regime als „geschichtlich
wertvoll“ eingestuft. Die Akte sollte zu NS-
Forschungszwecken dauerhaft aufbewahrt werden,
um später eine angebliche „Säuberung Deutschlands
von Volksschädlingen“ zu dokumentieren" https://de.wikipedia.org/wiki/Walerian_Wr%C3%B3b

It is an error to believe that Law is based
on logical rules. Its just the long arm of
protectionism, using time boxed information

retrieval to create paper documentation, with
pseudo proofs. So how to fight this new monster?
Maybe AI-automated NGOs?

Bye

Mild Shock schrieb:

Hi,

I had it already in 2023, see below,
and then in 2024 or 2025 I posted on meta
stackoverflow that they should accept

AI answers. But my post was deleted,
for example hardmath didn't like my
**mostlikely** estimate. But this is

the way you predict the future, with
uncertainty, right? This uncertainty
then turns into more and more certainty

and here we go, 1605 questions in 2026-04-01 !

Questions per month since 2009 https://data.stackexchange.com/stackoverflow/query/1875459/questions-per-month-since-2009#gra

Adios, my friend
https://9gag.com/gag/aMVoYLV

Goodbye Stack Exchange Assholes!

Bye

"
Interestingly the Stack Overflow Admins are more criminal
than the Putin Poudle. They disown your content and you can
even not anymore delete your own stuff. Given the fact how
many people endure the tirrany of Stack Overflow Admins,

because they believe the narrative of the greater good of
Stack Overflow, whereas these criminal jerks(*) are just professional
content thiefs, you can extrapolate how much brainwash is
possible and what a country populace will endure when it is weak.

Most eastern people are weak, you can bribe them with Vodka.

(*)
The situation in Stack Overflow only went unnoticed since
this notorious thiefs had no competition. But the situation has
probably changed, there is Quora etc..(**) The same in Ukraine,
there is probably now not only the east, but also the west, who would

like to brainwash the country. But can the USA offer enough Vodka?

(**)
You also see the detrimental effect of the criminal behaviour,
the Stack Overflow sites are full with bitrot. These idiot criminals
are worse than Gollum, they think every posted piece is a jewel,
and they never let go, even if it is outdated nonsense.
"
https://groups.google.com/g/comp.lang.prolog/c/AyrzzGKDPrc/m/b74ekiWOAgAJ

Mild Shock schrieb:

Hi,

Some clever guy has just published a tin opener, for LLMs.
They are indeed graph models, only baked into artificial
neural networks. Namely the knowledge part of an LLM. People

familiar with chat80 might recognize this type of knowledge:

larql> DESCRIBE "France";
France
   Edges (L14-27):
     capital     → Paris              1436.9  L27  (probe)
     language    → French               35.2  L24  (probe)
     continent   → Europe               14.4  L25  (probe)
     borders     → Spain                13.3  L18  (probe)

The tin opener is called LARQL (with Lazarus Query
Language), it decompiles transformer models into a
queryable format called a vindex. The tin opener also

allows to modify models. Due to space constraints, the
knowledge might not contain provenance edges. Depending
on the model it can be a ground truth with high confidence.

See also:

LLMs Are Databases - So Query Them
Chris Hay - 13.04.2026
https://www.youtube.com/watch?v=8Ppw8254nLI

LARQL - The model IS the database
chrishayuk - GitHub
https://github.com/chrishayuk/larql

Bye

Mild Shock schrieb:

Hi,

If LLMs are now 8x times more compressed, a model
that required 32 GB, now requires 4 GB? Right?
So I am toying around with my brand new Mac Ne-Meow,

which has only 8 GB RAM, but the hardware build is
such, that TMC placed the RAM directly on top of
the A18 CPU, which itself has an AI Accelerator.

You can ask, using oMLX and Gemma-4-e2b-it-4bit:

Q: Is 477773 a prime number
A: .. bla bla ..
    Since 477773 has factors other than 1
    and itself (specifically, 151 and 3169),
    477773 is not a prime number.

Woa! The Grand Finale is a lie:

151 x 3169 = 478519

Almost like Timothy Chow claiming we know PA
consistent. Except Gemma wasn't even wrong:

41 x 11653 = 477773

Say hello to MacBook Neo
https://www.apple.com/newsroom/2026/03/say-hello-to-macbook-neo/

New AI Model Runner (oMLX)
https://www.youtube.com/watch?v=EsLwzxTz-A4

Mild Shock schrieb:

Hi,

How it started:

AI is cutting 16,000 U.S. jobs a month—and
Gen Z is taking the brunt, Goldman Sachs says
Under the model, an occupation scores high
on substitution risk when AI can handle most
of its core tasks, like insurance claims
clerks and bill collectors.
https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/


How its going:

My thoughts on 5.3 after using it for a while
"I’m not trying to say 5.3 is terrible or anything.
It just feels more restricted than before, and the
change is noticeable if you used the previous
models a lot. Hopefully future updates balance
things out a bit better.
https://www.reddit.com/r/ChatGPTcomplaints/comments/1ro3fem/my_thoughts_on_53_after_using_it_for_a_while/


Lets face it its complete rubbish, its the
Shiiit, I have dissolved my OpenAI account.

Bye

--- Synchronet 3.22a-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

I think what Vannevar Bush sketched as the Memex,
and later lead Engelbart to invent the Mouse, is a mistake.
It assumes that a machine will augment humans,

humans still doing the work, only kind of accelerated,
like clicking Hyperlinks on a Website. What if an AI
clicks these Hyperlinks for us? Was this the idea of

another visionary, Joseph Carl Robnett Licklider ,
in his paper Man–Computer Symbiosis?
Now I am reading:

"Davidson et al. [10] demonstrate that LLMs
engaged in negotiation tasks, such as rent
negotiations between a landlord and tenant, are
capable of predicting the payoff structure of the
opposing party, highlighting their ability to infer
strategic preferences. This ability is referred to as
Theory of Mind (ToM) inference [23, 36]."
https://arxiv.org/pdf/2508.06060

Take stack overflow, it is currently in recess (*),
loosing end-users in thousends by the minute.
Even with its semantic search its still a pain in

the ass. One has still to sift through the ego
boosting of the users, to find the crucial information
among all the bitrot sediments, doing oil drillling by

hand even following links to other answers inside answers.

Bye

https://data.stackexchange.com/stackoverflow/query/1875459

Mild Shock schrieb:

Hi,

If LLMs are now 8x times more compressed, a model
that required 32 GB, now requires 4 GB? Right?
So I am toying around with my brand new Mac Ne-Meow,

which has only 8 GB RAM, but the hardware build is
such, that TMC placed the RAM directly on top of
the A18 CPU, which itself has an AI Accelerator.

You can ask, using oMLX and Gemma-4-e2b-it-4bit:

Q: Is 477773 a prime number
A: .. bla bla ..
   Since 477773 has factors other than 1
   and itself (specifically, 151 and 3169),
   477773 is not a prime number.

Woa! The Grand Finale is a lie:

151 x 3169 = 478519

Almost like Timothy Chow claiming we know PA
consistent. Except Gemma wasn't even wrong:

41 x 11653 = 477773

Say hello to MacBook Neo https://www.apple.com/newsroom/2026/03/say-hello-to-macbook-neo/

New AI Model Runner (oMLX)
https://www.youtube.com/watch?v=EsLwzxTz-A4

Mild Shock schrieb:

Hi,

How it started:

AI is cutting 16,000 U.S. jobs a month—and
Gen Z is taking the brunt, Goldman Sachs says
Under the model, an occupation scores high
on substitution risk when AI can handle most
of its core tasks, like insurance claims
clerks and bill collectors.
https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/


How its going:

My thoughts on 5.3 after using it for a while
"I’m not trying to say 5.3 is terrible or anything.
It just feels more restricted than before, and the
change is noticeable if you used the previous
models a lot. Hopefully future updates balance
things out a bit better.
https://www.reddit.com/r/ChatGPTcomplaints/comments/1ro3fem/my_thoughts_on_53_after_using_it_for_a_while/


Lets face it its complete rubbish, its the
Shiiit, I have dissolved my OpenAI account.

Bye

--- Synchronet 3.22a-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

Forget about explanable AI (xAI). MATLAB has
just published trusted AI (tAI). What comes next?
Well it will be Faith AI (fAI), using Julia

and Decapods, the Topless Institute will deliver
totally new means of messing with your brain:

"The historical peak of First-Order Cybernetics
(Macy Conferences, Norbert Wiener, and later
the Club of Rome). They realized that a brain
isn't a locked vault; it's an open, adaptive
control system that optimizes based on inputs.
If you want to break, redirect, or "mess with"

a mind, you don't use blunt force propaganda
The Club of Rome used the pinnacle of 1970s
cybernetics to hack the collective psyche by
manipulating the two fundamental levers of
systemic control. They mapped exponential,
runaway growth (population, pollution, consumption)

feeding into itself. By visualizing a system
spiraling out of control with no built-in brakes,
they triggered a visceral, existential fight-or-flight
response in the public mind. It was automated dread."

So how will Faith AI (fAI) work. All you need is
lemmings that believe in science and their models.
Which thanks to Julia and Decapods, even now
easily run on GPUs .

Bye

Links:

https://catcolab.org/help/logics/

https://algebraicjulia.github.io/Decapodes.jl/dev/

Mild Shock schrieb:

Hi,

I think what Vannevar Bush sketched as the Memex,
and later lead Engelbart to invent the Mouse, is a mistake.
It assumes that a machine will augment humans,

humans still doing the work, only kind of accelerated,
like clicking Hyperlinks on a Website. What if an AI
clicks these Hyperlinks for us? Was this the idea of

another visionary, Joseph Carl Robnett Licklider ,
in his paper Man–Computer Symbiosis?
Now I am reading:

"Davidson et al. [10] demonstrate that LLMs
engaged in negotiation tasks, such as rent
negotiations between a landlord and tenant, are
capable of predicting the payoff structure of the
opposing party, highlighting their ability to infer
strategic preferences. This ability is referred to as
Theory of Mind (ToM) inference [23, 36]."
https://arxiv.org/pdf/2508.06060

Take stack overflow, it is currently in recess (*),
loosing end-users in thousends by the minute.
Even with its semantic search its still a pain in

the ass. One has still to sift through the ego
boosting of the users, to find the crucial information
among all the bitrot sediments, doing oil drillling by

hand even following links to other answers inside answers.

Bye

https://data.stackexchange.com/stackoverflow/query/1875459

Mild Shock schrieb:

Hi,

If LLMs are now 8x times more compressed, a model
that required 32 GB, now requires 4 GB? Right?
So I am toying around with my brand new Mac Ne-Meow,

which has only 8 GB RAM, but the hardware build is
such, that TMC placed the RAM directly on top of
the A18 CPU, which itself has an AI Accelerator.

You can ask, using oMLX and Gemma-4-e2b-it-4bit:

Q: Is 477773 a prime number
A: .. bla bla ..
    Since 477773 has factors other than 1
    and itself (specifically, 151 and 3169),
    477773 is not a prime number.

Woa! The Grand Finale is a lie:

151 x 3169 = 478519

Almost like Timothy Chow claiming we know PA
consistent. Except Gemma wasn't even wrong:

41 x 11653 = 477773

Say hello to MacBook Neo
https://www.apple.com/newsroom/2026/03/say-hello-to-macbook-neo/

New AI Model Runner (oMLX)
https://www.youtube.com/watch?v=EsLwzxTz-A4

Mild Shock schrieb:

Hi,

How it started:

AI is cutting 16,000 U.S. jobs a month—and
Gen Z is taking the brunt, Goldman Sachs says
Under the model, an occupation scores high
on substitution risk when AI can handle most
of its core tasks, like insurance claims
clerks and bill collectors.
https://fortune.com/2026/04/06/ai-tech-displacement-effect-gen-z-16000-jobs-per-month/


How its going:

My thoughts on 5.3 after using it for a while
"I’m not trying to say 5.3 is terrible or anything.
It just feels more restricted than before, and the
change is noticeable if you used the previous
models a lot. Hopefully future updates balance
things out a bit better.
https://www.reddit.com/r/ChatGPTcomplaints/comments/1ro3fem/my_thoughts_on_53_after_using_it_for_a_while/


Lets face it its complete rubbish, its the
Shiiit, I have dissolved my OpenAI account.

Bye

--- Synchronet 3.22a-Linux NewsLink 1.2