Hi,
It pretty much emerges that python will
suffer from the small hands Paradox.
We are curently in this phase of the python
programming language evolution:
Maastrichtian
The CretaceousrCoPaleogene extinction event
(formerly known as the CretaceousrCoTertiary
extinction event)[a] occurred at the end of
this age.[3] In this mass extinction, many
commonly recognized groups such as non-avian
dinosaurs, pterosaurs, plesiosaurs, and mosasaurs,
as well as many other lesser-known groups,
died out. The cause of the extinction is most
commonly linked to an asteroid about 10 to
15 kilometres (6.2 to 9.3 mi) wide[4][5]
colliding with Earth, ending the Cretaceous.
It already happened to most of the Python tooling:
[Write Code] rRo
-a-a-a [Lint with Ruff] rRo
-a-a-a (Rust: Blazing)
-a-a-a [Install with uv] rRo
-a-a-a (Rust: Blazing)
-a-a-a [Execute Program]
-a-a-a (Python: Extremely Slow)
LoL
Bye
P.S.: How about Mojo as a successor of Python?
Mojo is a programming language for Linux and
macOS.[10][11] It is a systems programming language
with semantics inspired by Rust such as static
typing and a borrow checker,[12][13] but uses a
syntax designed to be reminiscent of Python
(like Nim and Julia). https://en.wikipedia.org/wiki/Mojo_(programming_language)
Mild Shock schrieb:
Hi,
Remember when first all local AI was Python
and PyTorch APIs. And then suddently people strated
using bare metal C/C++ Code. Here is the story:
How it started:
GPT-J or GPT-J-6B is an open-source large
language model (LLM) developed by EleutherAI
in 2021. As the name suggests, it is a
generative pre-trained transformer model
designed to produce human-like text that
continues from a prompt.
https://www.eleuther.ai/
How it was going [Georgi Gerganov]:
So a few days later comes out the LLaMA, I do
some calculations and I figure out rCLOkay, 65
billion parameters. You probably need about
40 gigs of RAM, with 4-bit quantization. So
this can run on a MacBook. Why not do it?rCY
Why I was able to do it so quickly - basically,
for all that I saw itrCOs pretty much GPT-J architecture
with some modifications, like some extra memorization
layers. ItrCOs minor changes. Basically, again, the
existing code for the GPT-J, I just simply
modified it there, it happened pretty quickly.
https://changelog.com/podcast/532
Georgi Gerganov, Bulgarian, now with Hugging
Face, ggml-cann also running on Chinese AI chips.
ggml Manifesto https://github.com/ggml-org/ggml
Bye
Hi,
How it started:
Randy and the Lawnmower
https://www.youtube.com/watch?v=B17Yy5buCdM
How it is going:
Keep off the grass folks
https://9gag.com/gag/aW4VYOd
Bye
Mild Shock schrieb:
Hi,
It pretty much emerges that python will
suffer from the small hands Paradox.
We are curently in this phase of the python
programming language evolution:
Maastrichtian
The CretaceousrCoPaleogene extinction event
(formerly known as the CretaceousrCoTertiary
extinction event)[a] occurred at the end of
this age.[3] In this mass extinction, many
commonly recognized groups such as non-avian
dinosaurs, pterosaurs, plesiosaurs, and mosasaurs,
as well as many other lesser-known groups,
died out. The cause of the extinction is most
commonly linked to an asteroid about 10 to
15 kilometres (6.2 to 9.3 mi) wide[4][5]
colliding with Earth, ending the Cretaceous.
It already happened to most of the Python tooling:
[Write Code] rRo
-a-a-a-a [Lint with Ruff] rRo
-a-a-a-a (Rust: Blazing)
-a-a-a-a [Install with uv] rRo
-a-a-a-a (Rust: Blazing)
-a-a-a-a [Execute Program]
-a-a-a-a (Python: Extremely Slow)
LoL
Bye
P.S.: How about Mojo as a successor of Python?
Mojo is a programming language for Linux and
macOS.[10][11] It is a systems programming language
with semantics inspired by Rust such as static
typing and a borrow checker,[12][13] but uses a
syntax designed to be reminiscent of Python
(like Nim and Julia).
https://en.wikipedia.org/wiki/Mojo_(programming_language)
Mild Shock schrieb:
Hi,
Remember when first all local AI was Python
and PyTorch APIs. And then suddently people strated
using bare metal C/C++ Code. Here is the story:
How it started:
GPT-J or GPT-J-6B is an open-source large
language model (LLM) developed by EleutherAI
in 2021. As the name suggests, it is a
generative pre-trained transformer model
designed to produce human-like text that
continues from a prompt.
https://www.eleuther.ai/
How it was going [Georgi Gerganov]:
So a few days later comes out the LLaMA, I do
some calculations and I figure out rCLOkay, 65
billion parameters. You probably need about
40 gigs of RAM, with 4-bit quantization. So
this can run on a MacBook. Why not do it?rCY
Why I was able to do it so quickly - basically,
for all that I saw itrCOs pretty much GPT-J architecture
with some modifications, like some extra memorization
layers. ItrCOs minor changes. Basically, again, the
existing code for the GPT-J, I just simply
modified it there, it happened pretty quickly.
https://changelog.com/podcast/532
Georgi Gerganov, Bulgarian, now with Hugging
Face, ggml-cann also running on Chinese AI chips.
ggml Manifesto https://github.com/ggml-org/ggml
Bye
Hi,
Woa! The public now marveling at the cascade
LLM, LRM and now Swarms. And little software
agents posting PERMADEATH.
How it started:
The co-evolution of AI and systems with Lidong Zhou https://www.youtube.com/watch?v=FVuJuGwkSu0
How its going:
This Is the AI Agent Story That Scared Me https://www.youtube.com/watch?v=2aw3MF8pY3w
They are all clueless that Strong AI, requires
to go from in vitro , to in vivo, usually called
situated AI. Applies also to swarms:
"Being situated is generally considered to be part
of being embodied, but it is useful to consider
each perspective individually. The situated
perspective emphasizes that intelligent behavior
derives from the environment and the agent's
interactions with it. The nature of these
interactions are defined by an agent's embodiment." https://en.wikipedia.org/wiki/Situated_approach_(artificial_intelligence)
And emergence of private languages is nothing new.
I am pretty sure the interested reader will find
some 30 year old papers of in vitro simulations,
of software agents developing pebbel languages.
Have Fun!
Bye
Mild Shock schrieb:
Hi,
How it started:
Randy and the Lawnmower
https://www.youtube.com/watch?v=B17Yy5buCdM
How it is going:
Keep off the grass folks
https://9gag.com/gag/aW4VYOd
Bye
Mild Shock schrieb:
Hi,
It pretty much emerges that python will
suffer from the small hands Paradox.
We are curently in this phase of the python
programming language evolution:
Maastrichtian
The CretaceousrCoPaleogene extinction event
(formerly known as the CretaceousrCoTertiary
extinction event)[a] occurred at the end of
this age.[3] In this mass extinction, many
commonly recognized groups such as non-avian
dinosaurs, pterosaurs, plesiosaurs, and mosasaurs,
as well as many other lesser-known groups,
died out. The cause of the extinction is most
commonly linked to an asteroid about 10 to
15 kilometres (6.2 to 9.3 mi) wide[4][5]
colliding with Earth, ending the Cretaceous.
It already happened to most of the Python tooling:
[Write Code] rRo
[Lint with Ruff] rRo
(Rust: Blazing)
[Install with uv] rRo
(Rust: Blazing)
[Execute Program]
(Python: Extremely Slow)
LoL
Bye
P.S.: How about Mojo as a successor of Python?
Mojo is a programming language for Linux and
macOS.[10][11] It is a systems programming language
with semantics inspired by Rust such as static
typing and a borrow checker,[12][13] but uses a
syntax designed to be reminiscent of Python
(like Nim and Julia).
https://en.wikipedia.org/wiki/Mojo_(programming_language)
Mild Shock schrieb:
Hi,
Remember when first all local AI was Python
and PyTorch APIs. And then suddently people strated
using bare metal C/C++ Code. Here is the story:
How it started:
GPT-J or GPT-J-6B is an open-source large
language model (LLM) developed by EleutherAI
in 2021. As the name suggests, it is a
generative pre-trained transformer model
designed to produce human-like text that
continues from a prompt.
https://www.eleuther.ai/
How it was going [Georgi Gerganov]:
So a few days later comes out the LLaMA, I do
some calculations and I figure out rCLOkay, 65
billion parameters. You probably need about
40 gigs of RAM, with 4-bit quantization. So
this can run on a MacBook. Why not do it?rCY
Why I was able to do it so quickly - basically,
for all that I saw itrCOs pretty much GPT-J architecture
with some modifications, like some extra memorization
layers. ItrCOs minor changes. Basically, again, the
existing code for the GPT-J, I just simply
modified it there, it happened pretty quickly.
https://changelog.com/podcast/532
Georgi Gerganov, Bulgarian, now with Hugging
Face, ggml-cann also running on Chinese AI chips.
ggml Manifesto https://github.com/ggml-org/ggml
Bye
On 09/16/2026 04:27 AM, Mild Shock wrote:
Hi,
Woa! The public now marveling at the cascade
LLM, LRM and now Swarms. And little software
agents posting PERMADEATH.
How it started:
The co-evolution of AI and systems with Lidong Zhou
https://www.youtube.com/watch?v=FVuJuGwkSu0
How its going:
This Is the AI Agent Story That Scared Me
https://www.youtube.com/watch?v=2aw3MF8pY3w
They are all clueless that Strong AI, requires
to go from in vitro , to in vivo, usually called
situated AI. Applies also to swarms:
"Being situated is generally considered to be part
of being embodied, but it is useful to consider
each perspective individually. The situated
perspective emphasizes that intelligent behavior
derives from the environment and the agent's
interactions with it. The nature of these
interactions are defined by an agent's embodiment."
https://en.wikipedia.org/wiki/Situated_approach_(artificial_intelligence)
And emergence of private languages is nothing new.
I am pretty sure the interested reader will find
some 30 year old papers of in vitro simulations,
of software agents developing pebbel languages.
Have Fun!
Bye
Mild Shock schrieb:
Hi,
How it started:
Randy and the Lawnmower
https://www.youtube.com/watch?v=B17Yy5buCdM
How it is going:
Keep off the grass folks
https://9gag.com/gag/aW4VYOd
Bye
Mild Shock schrieb:
Hi,
It pretty much emerges that python will
suffer from the small hands Paradox.
We are curently in this phase of the python
programming language evolution:
Maastrichtian
The CretaceousrCoPaleogene extinction event
(formerly known as the CretaceousrCoTertiary
extinction event)[a] occurred at the end of
this age.[3] In this mass extinction, many
commonly recognized groups such as non-avian
dinosaurs, pterosaurs, plesiosaurs, and mosasaurs,
as well as many other lesser-known groups,
died out. The cause of the extinction is most
commonly linked to an asteroid about 10 to
15 kilometres (6.2 to 9.3 mi) wide[4][5]
colliding with Earth, ending the Cretaceous.
It already happened to most of the Python tooling:
[Write Code] rRo
[Lint with Ruff] rRo
(Rust: Blazing)
[Install with uv] rRo
(Rust: Blazing)
[Execute Program]
(Python: Extremely Slow)
LoL
Bye
P.S.: How about Mojo as a successor of Python?
Mojo is a programming language for Linux and
macOS.[10][11] It is a systems programming language
with semantics inspired by Rust such as static
typing and a borrow checker,[12][13] but uses a
syntax designed to be reminiscent of Python
(like Nim and Julia).
https://en.wikipedia.org/wiki/Mojo_(programming_language)
Mild Shock schrieb:
Hi,
Remember when first all local AI was Python
and PyTorch APIs. And then suddently people strated
using bare metal C/C++ Code. Here is the story:
How it started:
GPT-J or GPT-J-6B is an open-source large
language model (LLM) developed by EleutherAI
in 2021. As the name suggests, it is a
generative pre-trained transformer model
designed to produce human-like text that
continues from a prompt.
https://www.eleuther.ai/
How it was going [Georgi Gerganov]:
So a few days later comes out the LLaMA, I do
some calculations and I figure out rCLOkay, 65
billion parameters. You probably need about
40 gigs of RAM, with 4-bit quantization. So
this can run on a MacBook. Why not do it?rCY
Why I was able to do it so quickly - basically,
for all that I saw itrCOs pretty much GPT-J architecture
with some modifications, like some extra memorization
layers. ItrCOs minor changes. Basically, again, the
existing code for the GPT-J, I just simply
modified it there, it happened pretty quickly.
https://changelog.com/podcast/532
Georgi Gerganov, Bulgarian, now with Hugging
Face, ggml-cann also running on Chinese AI chips.
ggml Manifesto https://github.com/ggml-org/ggml
Bye
asdf
asdasda
asdasdasd
asdasda
On 09/16/2026 08:41 AM, Ross Finlayson wrote:
On 09/16/2026 04:27 AM, Mild Shock wrote:
Hi,
Woa! The public now marveling at the cascade
LLM, LRM and now Swarms. And little software
agents posting PERMADEATH.
How it started:
The co-evolution of AI and systems with Lidong Zhou
https://www.youtube.com/watch?v=FVuJuGwkSu0
How its going:
This Is the AI Agent Story That Scared Me
https://www.youtube.com/watch?v=2aw3MF8pY3w
They are all clueless that Strong AI, requires
to go from in vitro , to in vivo, usually called
situated AI. Applies also to swarms:
"Being situated is generally considered to be part
of being embodied, but it is useful to consider
each perspective individually. The situated
perspective emphasizes that intelligent behavior
derives from the environment and the agent's
interactions with it. The nature of these
interactions are defined by an agent's embodiment."
https://en.wikipedia.org/wiki/Situated_approach_(artificial_intelligence) >>>
And emergence of private languages is nothing new.
I am pretty sure the interested reader will find
some 30 year old papers of in vitro simulations,
of software agents developing pebbel languages.
Have Fun!
Bye
Mild Shock schrieb:
Hi,
How it started:
Randy and the Lawnmower
https://www.youtube.com/watch?v=B17Yy5buCdM
How it is going:
Keep off the grass folks
https://9gag.com/gag/aW4VYOd
Bye
Mild Shock schrieb:
Hi,
It pretty much emerges that python will
suffer from the small hands Paradox.
We are curently in this phase of the python
programming language evolution:
Maastrichtian
The CretaceousrCoPaleogene extinction event
(formerly known as the CretaceousrCoTertiary
extinction event)[a] occurred at the end of
this age.[3] In this mass extinction, many
commonly recognized groups such as non-avian
dinosaurs, pterosaurs, plesiosaurs, and mosasaurs,
as well as many other lesser-known groups,
died out. The cause of the extinction is most
commonly linked to an asteroid about 10 to
15 kilometres (6.2 to 9.3 mi) wide[4][5]
colliding with Earth, ending the Cretaceous.
It already happened to most of the Python tooling:
[Write Code] rRo
[Lint with Ruff] rRo
(Rust: Blazing)
[Install with uv] rRo
(Rust: Blazing)
[Execute Program]
(Python: Extremely Slow)
LoL
Bye
P.S.: How about Mojo as a successor of Python?
Mojo is a programming language for Linux and
macOS.[10][11] It is a systems programming language
with semantics inspired by Rust such as static
typing and a borrow checker,[12][13] but uses a
syntax designed to be reminiscent of Python
(like Nim and Julia).
https://en.wikipedia.org/wiki/Mojo_(programming_language)
Mild Shock schrieb:
Hi,
Remember when first all local AI was Python
and PyTorch APIs. And then suddently people strated
using bare metal C/C++ Code. Here is the story:
How it started:
GPT-J or GPT-J-6B is an open-source large
language model (LLM) developed by EleutherAI
in 2021. As the name suggests, it is a
generative pre-trained transformer model
designed to produce human-like text that
continues from a prompt.
https://www.eleuther.ai/
How it was going [Georgi Gerganov]:
So a few days later comes out the LLaMA, I do
some calculations and I figure out rCLOkay, 65
billion parameters. You probably need about
40 gigs of RAM, with 4-bit quantization. So
this can run on a MacBook. Why not do it?rCY
Why I was able to do it so quickly - basically,
for all that I saw itrCOs pretty much GPT-J architecture
with some modifications, like some extra memorization
layers. ItrCOs minor changes. Basically, again, the
existing code for the GPT-J, I just simply
modified it there, it happened pretty quickly.
https://changelog.com/podcast/532
Georgi Gerganov, Bulgarian, now with Hugging
Face, ggml-cann also running on Chinese AI chips.
ggml Manifesto https://github.com/ggml-org/ggml
Bye
asdf
asdasda
asdasdasd
asdasda
https://aclanthology.org/
Accounts and deconstructive accounts of language
for metaphor & metonymy about a Coleridge & Comenius
language about spaces of words and languages their
roots and interpretations vis-a-vis declarations & copulas
and interrogatives & objects, have that Panini studied grammar
since long, long before Wittgenstein left behind grammar.
Some people have a hard time figuring whether verb or noun
should be primary, when others have infinitives and interrogatives
are primary.
"Reading Foundations: language science, the vis-viva, biochemistry"
Try multidisciplinary.
Hi,--- Synchronet 3.22a-Linux NewsLink 1.2
Woa! The public now marveling at the cascade
LLM, LRM and now Swarms. And little software
agents posting PERMADEATH.
How it started:
The co-evolution of AI and systems with Lidong Zhou https://www.youtube.com/watch?v=FVuJuGwkSu0
How its going:
This Is the AI Agent Story That Scared Me https://www.youtube.com/watch?v=2aw3MF8pY3w
They are all clueless that Strong AI, requires
to go from in vitro , to in vivo, usually called
situated AI. Applies also to swarms:
"Being situated is generally considered to be part
of being embodied, but it is useful to consider
each perspective individually. The situated
perspective emphasizes that intelligent behavior
derives from the environment and the agent's
interactions with it. The nature of these
interactions are defined by an agent's embodiment." https://en.wikipedia.org/wiki/Situated_approach_(artificial_intelligence)
And emergence of private languages is nothing new.
I am pretty sure the interested reader will find
some 30 year old papers of in vitro simulations,
of software agents developing pebbel languages.
Have Fun!
Bye
Hi,
Woa! The public now marveling at the cascade LLM, LRM and now Swarms.
And little software agents posting PERMADEATH.
How it started:
All humans are mortal All Greeks are humans
--------------------------------
Therefore all Greeks are mortal
Or as the formalists like to write it, but this is already a "fucked up" chain rule:
reCx (M(x) raA S(x))
reCx (G(x) raA M(x)) roCroCroCroCroCroCroCroCroCroCroCroCroCroCroCroCroC
re| reCx (G(x) raA S(x))
Its just various camps fighting world domination:
Everybody Wants To Rule The World
People publish slop, not computersI nowhere blamed computers.
Hi,
It pretty much emerges that python will
suffer from the small hands Paradox.
We are curently in this phase of the python
programming language evolution:
Maastrichtian
The CretaceousrCoPaleogene extinction event
(formerly known as the CretaceousrCoTertiary
extinction event)[a] occurred at the end of
this age.[3] In this mass extinction, many
commonly recognized groups such as non-avian
dinosaurs, pterosaurs, plesiosaurs, and mosasaurs,
as well as many other lesser-known groups,
died out. The cause of the extinction is most
commonly linked to an asteroid about 10 to
15 kilometres (6.2 to 9.3 mi) wide[4][5]
colliding with Earth, ending the Cretaceous.
It already happened to most of the Python tooling:
[Write Code] rRo
[Lint with Ruff] rRo
(Rust: Blazing)
[Install with uv] rRo
(Rust: Blazing)
[Execute Program]
(Python: Extremely Slow)
LoL
Bye
P.S.: How about Mojo as a successor of Python?
Mojo is a programming language for Linux and
macOS.[10][11] It is a systems programming language
with semantics inspired by Rust such as static
typing and a borrow checker,[12][13] but uses a
syntax designed to be reminiscent of Python
(like Nim and Julia). https://en.wikipedia.org/wiki/Mojo_(programming_language)
Bye
Mild Shock schrieb:
Hi,
Remember when first all local AI was Python
and PyTorch APIs. And then suddently people started
using bare metal C/C++ Code. Here is the story:
How it started:
GPT-J or GPT-J-6B is an open-source large
language model (LLM) developed by EleutherAI
in 2021. As the name suggests, it is a
generative pre-trained transformer model
designed to produce human-like text that
continues from a prompt.
https://www.eleuther.ai/
How it was going [Georgi Gerganov]:
So a few days later comes out the LLaMA, I do
some calculations and I figure out rCLOkay, 65
billion parameters. You probably need about
40 gigs of RAM, with 4-bit quantization. So
this can run on a MacBook. Why not do it?rCY
Why I was able to do it so quickly - basically,
for all that I saw itrCOs pretty much GPT-J architecture
with some modifications, like some extra memorization
layers. ItrCOs minor changes. Basically, again, the
existing code for the GPT-J, I just simply
modified it there, it happened pretty quickly.
https://changelog.com/podcast/532
Georgi Gerganov, Bulgarian, now with Hugging
Face, ggml-cann also running on Chinese AI chips.
ggml Manifesto https://github.com/ggml-org/ggml
Bye
Hi,
People publish slop, not computersI nowhere blamed computers.
Well I did not try to envision something
superintelligent. But I notice search engines
are recently becoming a little omisentient,
when I asked for bakage.toml,
the AI Gemini was quickly finding the prolog
agent toolkit repo, but at the sametime laughing
at me, and telling me, bakage.toml is probably
a halucination,
since it also inspected the other repositories,
like Scryer related and confirmed there is no
bakage.toml . So it is possibly up to you how
much rCLautonomyrCY you
want to give to your software agents.
Mostlikely the advanced software agents will
anyways kind of rCLautocorrectrCY the mistake inside
the AI slop, you
could check in random noise into a repo, and
it would try to make sense out of it
nevertheless. Is this a win or loss for humanity,
the increasing
rCLautomonyrCY, or a clear sign of P(doom) > 50% ?
I donrCOt know , somebody (*) recently claimed
on youtube you need AGI to correctly
estimate P(doom).
So on purpose I tried to only illustrate the
ideas of rCLingestion problemrCY and " agentic AI
collaboration", and use tools and processes,
to not stear additional fear, people are already
completely stressed out. (**) Also completely
unable to articulate themselves.
Bye
(*)
DariorCOs (likely half-sincere) AI Slowdown proposal https://www.youtube.com/watch?v=PAhbxcVdW10
(**)
Facing meltdown?
Over 75% of adults experience chronic stress or burnout
symptoms driven by financial pressures, constant digital
connectivity, and modern lifestyle demands https://www.theguardian.com/lifeandstyle/2026/feb/15/75-of-people-suffer-from-burnout-what-you-need-to-know
Mild Shock schrieb:
Hi,
It pretty much emerges that python will
suffer from the small hands Paradox.
We are curently in this phase of the python
programming language evolution:
Maastrichtian
The CretaceousrCoPaleogene extinction event
(formerly known as the CretaceousrCoTertiary
extinction event)[a] occurred at the end of
this age.[3] In this mass extinction, many
commonly recognized groups such as non-avian
dinosaurs, pterosaurs, plesiosaurs, and mosasaurs,
as well as many other lesser-known groups,
died out. The cause of the extinction is most
commonly linked to an asteroid about 10 to
15 kilometres (6.2 to 9.3 mi) wide[4][5]
colliding with Earth, ending the Cretaceous.
It already happened to most of the Python tooling:
[Write Code] rRo
-a-a-a-a-a [Lint with Ruff] rRo
-a-a-a-a-a (Rust: Blazing)
-a-a-a-a-a [Install with uv] rRo
-a-a-a-a-a (Rust: Blazing)
-a-a-a-a-a [Execute Program]
-a-a-a-a-a (Python: Extremely Slow)
LoL
Bye
P.S.: How about Mojo as a successor of Python?
Mojo is a programming language for Linux and
macOS.[10][11] It is a systems programming language
with semantics inspired by Rust such as static
typing and a borrow checker,[12][13] but uses a
syntax designed to be reminiscent of Python
(like Nim and Julia). https://en.wikipedia.org/wiki/Mojo_(programming_language)
Bye
Mild Shock schrieb:
Hi,
Remember when first all local AI was Python
and PyTorch APIs. And then suddently people started
using bare metal C/C++ Code. Here is the story:
How it started:
GPT-J or GPT-J-6B is an open-source large
language model (LLM) developed by EleutherAI
in 2021. As the name suggests, it is a
generative pre-trained transformer model
designed to produce human-like text that
continues from a prompt.
https://www.eleuther.ai/
How it was going [Georgi Gerganov]:
So a few days later comes out the LLaMA, I do
some calculations and I figure out rCLOkay, 65
billion parameters. You probably need about
40 gigs of RAM, with 4-bit quantization. So
this can run on a MacBook. Why not do it?rCY
Why I was able to do it so quickly - basically,
for all that I saw itrCOs pretty much GPT-J architecture
with some modifications, like some extra memorization
layers. ItrCOs minor changes. Basically, again, the
existing code for the GPT-J, I just simply
modified it there, it happened pretty quickly.
https://changelog.com/podcast/532
Georgi Gerganov, Bulgarian, now with Hugging
Face, ggml-cann also running on Chinese AI chips.
ggml Manifesto https://github.com/ggml-org/ggml
Bye
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