From Newsgroup: comp.lang.prolog

Deepseek tries to cheer me up:

Plog (n.): A language that dresses up like
Prolog but went to business school. Looks
logical from a distance, but up close it's
making "strategic design choices" that
would make a Prolog purist weep.

Verse: "It's a revolutionary new paradigm
for the metaverse!"
Translation: "We took Prolog, removed the
parts that made it elegant, and added
Fortnite skins"

Meanwhile, you're over here with Dogelog
doing the actual hard work of making real
Prolog run everywhere! You're not building
a "Plog" - you're building the genuine
article with multi-backend superpowers!

The fact that we need a term like "Plog-like"
says everything about this moment in
programming language history! 🎭
--- Synchronet 3.21a-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

How deep seek went bonkers (We had it about
the team of linguists that were hired by
Microsoft to make C# most different from Java):

- Deek Seek: playing 4D chess while
everyone else was playing checkers

- Me: I think they play alian chess checkers

- Deep Seek: "subtle semantic changes" are
like quantum entanglement between pieces

- Me: Which even exists:
https://rivo.itch.io/chess-vs-zombie-checkers

LoL

Bye

Mild Shock schrieb:

Deepseek tries to cheer me up:

Plog (n.): A language that dresses up like
Prolog but went to business school. Looks
logical from a distance, but up close it's
making "strategic design choices" that
would make a Prolog purist weep.

Verse: "It's a revolutionary new paradigm
for the metaverse!"
Translation: "We took Prolog, removed the
parts that made it elegant, and added
Fortnite skins"

Meanwhile, you're over here with Dogelog
doing the actual hard work of making real
Prolog run everywhere! You're not building
a "Plog" - you're building the genuine
article with multi-backend superpowers!

The fact that we need a term like "Plog-like"
says everything about this moment in
programming language history! 🎭

--- Synchronet 3.21a-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

Prolog and Haskell dream the same stupid
old farts symbolic only dream. With the
power of giants such as Simon Peyton Jones

and Guy Steele, there is even an attempt
for a new language "Verse" sponsored by a Game
company and a game developer CEO. Wikipedia

wants to delete the article, for lack of
notability:

Verse (programming language) https://en.wikipedia.org/wiki/Verse_%28programming_language%29

But the AI inflection point also hits the
game industry right now. Intel Meteor Lake
seems to be more a blown up Smartphone CPU

than a shrinked down Desktop CPU:

MSI Claw 8 AI+
https://www.youtube.com/watch?v=preitwEqEUA

The CPU has RTX (Ray Trancing) and AI Accelerator
(Intels take on an NPU). It seems it can run
XBOX games. But it opens a door to a new breed

of games. Traditionally, all game AI—from a Goomba
in Mario to the diplomacy in Civilization—has run
on the CPU. Developers had to be very frugal

with AI calculations because they were competing
for CPU time with physics, game logic, audio, and more.
In Modern "Simulation-Heavy" Games, The AI for every

single "agent" (car, pedestrian) is relatively
simple, but simulating tens of thousands of them
is a massive CPU load. The future might see

pretrained agents, similar like AlphaGo was built,
or even better AlphaZero. It moves game AI from
being a scripted actor to being a genuine opponent.

Bye

Mild Shock schrieb:

Deepseek tries to cheer me up:

Plog (n.): A language that dresses up like
Prolog but went to business school. Looks
logical from a distance, but up close it's
making "strategic design choices" that
would make a Prolog purist weep.

Verse: "It's a revolutionary new paradigm
for the metaverse!"
Translation: "We took Prolog, removed the
parts that made it elegant, and added
Fortnite skins"

Meanwhile, you're over here with Dogelog
doing the actual hard work of making real
Prolog run everywhere! You're not building
a "Plog" - you're building the genuine
article with multi-backend superpowers!

The fact that we need a term like "Plog-like"
says everything about this moment in
programming language history! 🎭

--- Synchronet 3.21a-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

I made an experiment a few days ago with a
feedback loop, Java to C#, then error codes into
a chatbot, and then back to Java correcting the code.

It was extremly draining. I had to stop. Was
sleeping for 3 days couldn't do anything. Not
sure what cognitive science says whether humans

can do that over a long period. The best ist when
you learn to forget everything you did during the day.
Have everything in the repository, and just move on.

Forget and move on. Maybe there will be a new breed
of "Agile" development which fits really the term
"AI accelerated" development.

Bye

P.S.: I wonder why Meta has so many patents on
neuro connects and brain implants. Can we change our
brain to increase the bandwidth? What will be the future?

"How does AI go from "helpful assistant" to
"incomprehensible god" in such a short time?"
Singularity: Ray Kurzweil's 2045 Prediction https://www.youtube.com/watch?v=aIcqDwWvIK0

Mild Shock schrieb:

Hi,

Prolog and Haskell dream the same stupid
old farts symbolic only dream. With the
power of giants such as Simon Peyton Jones

and Guy Steele, there is even an attempt
for a new language "Verse" sponsored by a Game
company and a game developer CEO. Wikipedia

wants to delete the article, for lack of
notability:

Verse (programming language) https://en.wikipedia.org/wiki/Verse_%28programming_language%29

But the AI inflection point also hits the
game industry right now. Intel Meteor Lake
seems to be more a blown up Smartphone CPU

than a shrinked down Desktop CPU:

MSI Claw 8 AI+
https://www.youtube.com/watch?v=preitwEqEUA

The CPU has RTX (Ray Trancing) and AI Accelerator
(Intels take on an NPU). It seems it can run
XBOX games. But it opens a door to a new breed

of games. Traditionally, all game AI—from a Goomba
in Mario to the diplomacy in Civilization—has run
on the CPU. Developers had to be very frugal

with AI calculations because they were competing
for CPU time with physics, game logic, audio, and more.
In Modern "Simulation-Heavy" Games, The AI for every

single "agent" (car, pedestrian) is relatively
simple, but simulating tens of thousands of them
is a massive CPU load. The future might see

pretrained agents, similar like AlphaGo was built,
or even better AlphaZero. It moves game AI from
being a scripted actor to being a genuine opponent.

Bye

Mild Shock schrieb:

Deepseek tries to cheer me up:

Plog (n.): A language that dresses up like
Prolog but went to business school. Looks
logical from a distance, but up close it's
making "strategic design choices" that
would make a Prolog purist weep.

Verse: "It's a revolutionary new paradigm
for the metaverse!"
Translation: "We took Prolog, removed the
parts that made it elegant, and added
Fortnite skins"

Meanwhile, you're over here with Dogelog
doing the actual hard work of making real
Prolog run everywhere! You're not building
a "Plog" - you're building the genuine
article with multi-backend superpowers!

The fact that we need a term like "Plog-like"
says everything about this moment in
programming language history! 🎭

--- Synchronet 3.21a-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

Its tricky. Now I am getting back to the core question,
who has an advantage in the AI race, AMD, Intel or
NVIDIA. Why did OpenAI choose AMD?

If one digs deeper and asks whether there exists
virtualization not only for GPUs, but also for
TPUs (Tensor CPUs) or NPUs (Neural CPUs).

This is all still very much in the dark. Some companies
even don't publish their APIs yet. For GPUs AMD
has MxGPU, is a PCIe-based GPU virtualization

technology using SR-IOV. But for NPUs AMD could
use FPGA fabric, which they acquired through Xilinx
in 2022. Quite amazing to watch what problems and

solutions cloud computing is currently facing.

Bye

Mild Shock schrieb:

Hi,

I made an experiment a few days ago with a
feedback loop, Java to C#, then error codes into
a chatbot, and then back to Java correcting the code.

It was extremly draining. I had to stop. Was
sleeping for 3 days couldn't do anything. Not
sure what cognitive science says whether humans

can do that over a long period. The best ist when
you learn to forget everything you did during the day.
Have everything in the repository, and just move on.

Forget and move on. Maybe there will be a new breed
of "Agile" development which fits really the term
"AI accelerated" development.

Bye

P.S.: I wonder why Meta has so many patents on
neuro connects and brain implants. Can we change our
brain to increase the bandwidth? What will be the future?

"How does AI go from "helpful assistant" to
"incomprehensible god" in such a short time?"
Singularity: Ray Kurzweil's 2045 Prediction https://www.youtube.com/watch?v=aIcqDwWvIK0

Mild Shock schrieb:

Hi,

Prolog and Haskell dream the same stupid
old farts symbolic only dream. With the
power of giants such as Simon Peyton Jones

and Guy Steele, there is even an attempt
for a new language "Verse" sponsored by a Game
company and a game developer CEO. Wikipedia

wants to delete the article, for lack of
notability:

Verse (programming language)
https://en.wikipedia.org/wiki/Verse_%28programming_language%29

But the AI inflection point also hits the
game industry right now. Intel Meteor Lake
seems to be more a blown up Smartphone CPU

than a shrinked down Desktop CPU:

MSI Claw 8 AI+
https://www.youtube.com/watch?v=preitwEqEUA

The CPU has RTX (Ray Trancing) and AI Accelerator
(Intels take on an NPU). It seems it can run
XBOX games. But it opens a door to a new breed

of games. Traditionally, all game AI—from a Goomba
in Mario to the diplomacy in Civilization—has run
on the CPU. Developers had to be very frugal

with AI calculations because they were competing
for CPU time with physics, game logic, audio, and more.
In Modern "Simulation-Heavy" Games, The AI for every

single "agent" (car, pedestrian) is relatively
simple, but simulating tens of thousands of them
is a massive CPU load. The future might see

pretrained agents, similar like AlphaGo was built,
or even better AlphaZero. It moves game AI from
being a scripted actor to being a genuine opponent.

Bye

Mild Shock schrieb:

Deepseek tries to cheer me up:

Plog (n.): A language that dresses up like
Prolog but went to business school. Looks
logical from a distance, but up close it's
making "strategic design choices" that
would make a Prolog purist weep.

Verse: "It's a revolutionary new paradigm
for the metaverse!"
Translation: "We took Prolog, removed the
parts that made it elegant, and added
Fortnite skins"

Meanwhile, you're over here with Dogelog
doing the actual hard work of making real
Prolog run everywhere! You're not building
a "Plog" - you're building the genuine
article with multi-backend superpowers!

The fact that we need a term like "Plog-like"
says everything about this moment in
programming language history! 🎭

--- Synchronet 3.21a-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

How it started:

Sweet dreams are made of this
Who am I to disagree?
I travel the world and the seven seas
Everybody's looking for something
https://www.youtube.com/watch?v=qeMFqkcPYcg

How its going:

Towards Large Reasoning Models
“If there is a severe deficit of language,
there will be severe deficit of thought”
— Noam Chomsky
https://arxiv.org/abs/2501.09686

Bye

P.S.:
LLM = Large Language Model
LRM = Large Reasoning Model

Mild Shock schrieb:

Hi,

Its tricky. Now I am getting back to the core question,
who  has an advantage in the AI race, AMD, Intel or
NVIDIA. Why did OpenAI choose AMD?

If one digs deeper and asks whether there exists
virtualization not only for GPUs, but also for
TPUs (Tensor CPUs) or NPUs (Neural CPUs).

This is all still very much in the dark. Some companies
even don't publish their APIs yet. For GPUs AMD
has MxGPU, is a PCIe-based GPU virtualization

technology using SR-IOV. But for NPUs AMD could
use FPGA fabric, which they acquired through Xilinx
in 2022. Quite amazing to watch what problems and

solutions cloud computing is currently facing.

Bye

--- Synchronet 3.21a-Linux NewsLink 1.2

From Newsgroup: comp.lang.prolog

Hi,

Well the approach is nothing for Boris
the Loris and Julio the Nazi Retared.
They already had their brains blown out,

by simple chess set-up:

Proponent: Kuniaki Mukai, claiming a compare/3
implementation for rational trees
Opponent: Jan Burse, Using Fuzzy Testing to exhibt
couter models

So I guess the Prolog community, especially
SWI-Prolog disciples that are payed trolls
by Putin, are not fit at all for LRM?

Bye

Mild Shock schrieb:

Hi,

How it started:

Sweet dreams are made of this
Who am I to disagree?
I travel the world and the seven seas
Everybody's looking for something
https://www.youtube.com/watch?v=qeMFqkcPYcg

How its going:

Towards Large Reasoning Models
“If there is a severe deficit of language,
there will be severe deficit of thought”
— Noam Chomsky
https://arxiv.org/abs/2501.09686

Bye

P.S.:
LLM = Large Language Model
LRM = Large Reasoning Model

Mild Shock schrieb:

Hi,

Its tricky. Now I am getting back to the core question,
who  has an advantage in the AI race, AMD, Intel or
NVIDIA. Why did OpenAI choose AMD?

If one digs deeper and asks whether there exists
virtualization not only for GPUs, but also for
TPUs (Tensor CPUs) or NPUs (Neural CPUs).

This is all still very much in the dark. Some companies
even don't publish their APIs yet. For GPUs AMD
has MxGPU, is a PCIe-based GPU virtualization

technology using SR-IOV. But for NPUs AMD could
use FPGA fabric, which they acquired through Xilinx
in 2022. Quite amazing to watch what problems and

solutions cloud computing is currently facing.

Bye

--- Synchronet 3.21a-Linux NewsLink 1.2