From Newsgroup: sci.physics

Hi,

How it started:

""ArdayrCOs Cool Britannia is both a brave
cultural history and a deeply personal odyssey.
Retrieving the 1990s from retro sentimentality,
Arday reminds us that the decade of Brit pop
and girl power was also an era of discriminatory
policing, hostile immigration policy and the
murder of Stephen Lawrence. A necessary corrective
to the Brit nostalgia and historical amnesia
that mark our present day."

Cool Britannia and Multi-Ethnic Britain
Uncorking the Champagne Supernova https://www.routledge.com/Cool-Britannia-and-Multi-Ethnic-Britain-Uncorking-the-Champagne-Supernova/Arday/p/book/9781032239989

How its going:

Arday was found unresponsive at his home
in Battersea on 14 August 2026, and was
pronounced dead at the scene, aged 41.
Mr Cofnas, who claims he advocates for
rCLrace realismrCY, is currently a postdoctoral
researcher at Ghent UniversityrCOs department
of philosophy and moral sciences, according
to his website.
On 20 August 2026, Cofnas was suspended
from Ghent University. https://www.independent.co.uk/news/uk/home-news/jason-arday-nathan-cofnas-university-b3036452.html

Bye

Mild Shock schrieb:

Hi,

It seems micro penis struggles with mobile
grade GPU concept. Whats the difference
between a mobile grade GPU and non-mobile grade

GPU? You know the **M** in **Readeon 860M**
means Mobile! Here is a comparison:

**Mobile GPU:**

Energy Consuption: Low
Device Memory: AUP (accelerator unit processor,
-a-a shares memory with CPU, no VRAM)
Cooling System: Fewer or no fans

**Non-Mobile GPU:**

Energy Consuption: High
Device Memory: DUP (discret unit processor,
-a-a has its own VRAM)
Cooling System: A lot of fans or other cooling

Bye

BTW: Here are some results for:

11.4 Giga Lips with a Budget Laptop https://github.com/Jean-Luc-Picard-2021/gigabudget

On a smartphone, namely Redmi Note 14 Pro+:

1 Shader
1983 ms

4096 Shaders
16253 ms

The phone uses a Snapdragon 7s Gen 3

Mild Shock schrieb:

Hi,

Micro Penis the putin payed troll, is now
on the payment list of overpriced NVIDIA as
well. He cannot get over the concept of a

Shoe String Budget:

"According to Darren AronofskyrCOs debut
1998 film Pi, rCLeverything around us can
be represented and understood through numbersrCY,
from the stock market to the rCLwax and wane
of caribou populationsrCY. But, ironically,
the filmrCOs own numerical facts feel particularly
inexplicable. It was made on a budget of just
$60,000, which is less a shoestring and more
just the aglet at the end of a frayed lace.
To put that in to perspective, 1999rCOs The
Matrix rCo similarly based around the dystopian
danger of AI rCo may have been slightly slicker
and sexier, but also was made for $60m, a
thousand times more buck for a thousand
times less bang. Plus, it means that its
profit margin was huge. As VarietyrCOs headline
following its release put it, rCyrCY-C=$1,000,000!rCY
https://www.vice.com/en/article/pi-soundtrack-20-years-aronofsky-aphex-twin-autechre/


04 Bucephalus Bouncing Ball
https://www.youtube.com/watch?v=Ez6xDGTFswQ

Bye

Loman Barabashev schrieb:

I have a micro penis and my brain explodes

Mild Shock schrieb:

Hi,

Ok I was looking at this learning challenge,
producing vector (y1,y2,y3,y4) from a vector
(x1,x2,x3,x4), System R can do it via least square?

| 0 0 0 1 |-a-a | x1 |-a-a-a-a | x4 |
| 0 0 1 0 |-a-a | x2 |-a =-a | x3 |
| 0 1 0 0 |-a-a | x3 |-a-a-a-a | x2 |
| 1 0 0 0 |-a-a | x4 |-a-a-a-a | x1 |

How it started:

"multiplicative RNNs arises naturally from a
proof-theoretic interpretation of next-token
prediction as nested intuitionistic implication"
Paul Tarau - 2026
https://arxiv.org/abs/2601.19915

How its going:

"Dave uses a PDP-11 to train a real Neural
Network complete with Transformers and
Attention so you can see them at their most basic."
Mr. Taskmanager - 2026
https://www.youtube.com/watch?v=OUE3FSIk46g

We see Doctor Frankstein in action from
the Bronze Age of Computing, producing
a Humunkulus, the progenitor of todays

Bulgakov Shuriks in the Hyperscale Age!

Bye

P.S.: My impression neither cut to the core, that
this incredible transformer most likely
produced this deterministic attention:

| -1 | * | k | + | 5 | = | k' |

Or differently expressed y_k = x_{5-k}.

How did the transformer do it? It produced
a neural network with 1216 parameters, but
didn't use embeddings or polar encoding

of positions. But if we strip the noise
and denoise from the position encoding,
the denoise is done via softmax. We somehow

must get the above, right? I still need to
verify my claim! BTW: The PDP-11 assembly
from 1979 uses wider example not with n=4

but with n=8.

--- Synchronet 3.22a-Linux NewsLink 1.2

From Newsgroup: sci.physics

Mild Shock <janburse@fastmail.fm> wrote:

Hi,

How it started:

""ArdayrCOs Cool Britannia is both a brave
cultural history and a deeply personal odyssey.
Retrieving the 1990s from retro sentimentality,
Arday reminds us that the decade of Brit pop
and girl power was also an era of discriminatory
policing, hostile immigration policy and the
murder of Stephen Lawrence. A necessary corrective
to the Brit nostalgia and historical amnesia
that mark our present day."

Cool Britannia and Multi-Ethnic Britain
Uncorking the Champagne Supernova https://www.routledge.com/Cool-Britannia-and-Multi-Ethnic-Britain-Uncorking-the-Champagne-Supernova/Arday/p/book/9781032239989

How its going:

Arday was found unresponsive at his home
in Battersea on 14 August 2026, and was
pronounced dead at the scene, aged 41.
Mr Cofnas, who claims he advocates for
rCLrace realismrCY, is currently a postdoctoral
researcher at Ghent UniversityrCOs department
of philosophy and moral sciences, according
to his website.
On 20 August 2026, Cofnas was suspended
from Ghent University. https://www.independent.co.uk/news/uk/home-news/jason-arday-nathan-cofnas-university-b3036452.html

They must have been the life of every party they went to.

Bye

Mild Shock schrieb:

Hi,

It seems micro penis struggles with mobile
grade GPU concept. Whats the difference
between a mobile grade GPU and non-mobile grade

GPU? You know the **M** in **Readeon 860M**
means Mobile! Here is a comparison:

**Mobile GPU:**

Energy Consuption: Low
Device Memory: AUP (accelerator unit processor,
-a-a shares memory with CPU, no VRAM)
Cooling System: Fewer or no fans

**Non-Mobile GPU:**

Energy Consuption: High
Device Memory: DUP (discret unit processor,
-a-a has its own VRAM)
Cooling System: A lot of fans or other cooling

Bye

BTW: Here are some results for:

11.4 Giga Lips with a Budget Laptop
https://github.com/Jean-Luc-Picard-2021/gigabudget

On a smartphone, namely Redmi Note 14 Pro+:

1 Shader
1983 ms

4096 Shaders
16253 ms

The phone uses a Snapdragon 7s Gen 3

Mild Shock schrieb:

Hi,

Micro Penis the putin payed troll, is now
on the payment list of overpriced NVIDIA as
well. He cannot get over the concept of a

Shoe String Budget:

"According to Darren AronofskyrCOs debut
1998 film Pi, rCLeverything around us can
be represented and understood through numbersrCY,
from the stock market to the rCLwax and wane
of caribou populationsrCY. But, ironically,
the filmrCOs own numerical facts feel particularly
inexplicable. It was made on a budget of just
$60,000, which is less a shoestring and more
just the aglet at the end of a frayed lace.
To put that in to perspective, 1999rCOs The
Matrix rCo similarly based around the dystopian
danger of AI rCo may have been slightly slicker
and sexier, but also was made for $60m, a
thousand times more buck for a thousand
times less bang. Plus, it means that its
profit margin was huge. As VarietyrCOs headline
following its release put it, rCyrCY-C=$1,000,000!rCY
https://www.vice.com/en/article/pi-soundtrack-20-years-aronofsky-aphex-twin-autechre/


04 Bucephalus Bouncing Ball
https://www.youtube.com/watch?v=Ez6xDGTFswQ

Bye

Loman Barabashev schrieb:

I have a micro penis and my brain explodes

Mild Shock schrieb:

Hi,

Ok I was looking at this learning challenge,
producing vector (y1,y2,y3,y4) from a vector
(x1,x2,x3,x4), System R can do it via least square?

| 0 0 0 1 |-a-a | x1 |-a-a-a-a | x4 |
| 0 0 1 0 |-a-a | x2 |-a =-a | x3 |
| 0 1 0 0 |-a-a | x3 |-a-a-a-a | x2 |
| 1 0 0 0 |-a-a | x4 |-a-a-a-a | x1 |

How it started:

"multiplicative RNNs arises naturally from a
proof-theoretic interpretation of next-token
prediction as nested intuitionistic implication"
Paul Tarau - 2026
https://arxiv.org/abs/2601.19915

How its going:

"Dave uses a PDP-11 to train a real Neural
Network complete with Transformers and
Attention so you can see them at their most basic."
Mr. Taskmanager - 2026
https://www.youtube.com/watch?v=OUE3FSIk46g

We see Doctor Frankstein in action from
the Bronze Age of Computing, producing
a Humunkulus, the progenitor of todays

Bulgakov Shuriks in the Hyperscale Age!

Bye

P.S.: My impression neither cut to the core, that
this incredible transformer most likely
produced this deterministic attention:

| -1 | * | k | + | 5 | = | k' |

Or differently expressed y_k = x_{5-k}.

How did the transformer do it? It produced
a neural network with 1216 parameters, but
didn't use embeddings or polar encoding

of positions. But if we strip the noise
and denoise from the position encoding,
the denoise is done via softmax. We somehow

must get the above, right? I still need to
verify my claim! BTW: The PDP-11 assembly
from 1979 uses wider example not with n=4

but with n=8.

--- Synchronet 3.22a-Linux NewsLink 1.2