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AI Laptops are just strange novel xBoxes (Re: AI dooms day escape: Güttinger Wald)

Started byMild Shock <janburse@fastmail.fm>
First post2026-07-08 20:46 +0200
Last post2026-07-09 09:54 +0200
Articles 2 — 1 participant

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  AI Laptops are just strange novel xBoxes (Re: AI dooms day escape: Güttinger Wald) Mild Shock <janburse@fastmail.fm> - 2026-07-08 20:46 +0200
    TDR solutions --> work slicing (Re: AI Laptops are just strange novel xBoxes) Mild Shock <janburse@fastmail.fm> - 2026-07-09 09:54 +0200

#896202 — AI Laptops are just strange novel xBoxes (Re: AI dooms day escape: Güttinger Wald)

FromMild Shock <janburse@fastmail.fm>
Date2026-07-08 20:46 +0200
SubjectAI Laptops are just strange novel xBoxes (Re: AI dooms day escape: Güttinger Wald)
Message-ID<112m5u8$7b6m$3@solani.org>
Hi,

We can thank the gamers, that GPUs developed muscles:

The global video game industry contributes hundreds
of billions to worldwide GDP, generating over $500
billion in total market volume. The global software
and services market alone accounts for an estimated
$255 billion, easily surpassing the film and recorded
music industries combined.

How it started:

URP Cookbook: Compute shaders - Part 1: Particle fun
https://www.youtube.com/watch?v=omZap7XHxKc

How its going:

Dogelog Player: 11.4 Giga Lips with a Budget Laptop
https://medium.com/2989/899b0d5c027b

Bye

Mild Shock schrieb:
> Hi,
> 
> You just escaped AI dooms day. Humanity has
> reset all internet and computers as a last resort
> to prevent AGI developing, by an electromagnetic
> 
> pulse. You are stuck in Güttinger Wald and hunted
> down a deer by your bare hands, the deer still
> confused and tame because tourists were feeding it.
> 
> Now you have no knife, what do you do:
> 
> Chimpanzees Have Entered The Stone Age
> https://www.youtube.com/watch?v=wPXX2I_uYjc
> 
> So we are just apes with internet.
> 
> Bye
> 
> 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 |   | x1 |     | x4 |
>> | 0 0 1 0 |   | x2 |  =  | x3 |
>> | 0 1 0 0 |   | x3 |     | x2 |
>> | 1 0 0 0 |   | x4 |     | 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.
> 

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#896207 — TDR solutions --> work slicing (Re: AI Laptops are just strange novel xBoxes)

FromMild Shock <janburse@fastmail.fm>
Date2026-07-09 09:54 +0200
SubjectTDR solutions --> work slicing (Re: AI Laptops are just strange novel xBoxes)
Message-ID<112nk2v$7vbd$2@solani.org>
In reply to#896202
Hi,

Current workaround, for workloads which take
longer, regedit TdrDelay and TdrDdiDelay:

GPU drivers crash with long computations (TDR crash)
https://experienceleague.adobe.com/en/docs/substance-3d-painter/using/technical-support/technical-issues/gpu-issues/gpu-drivers-crash-with-long-computations-tdr-crash

Future solution is work slicing. Make the
GPU inferencing granular. Since I am using

a Hack virtual machine, adding a "Heartbeat"
should be possible, Dogelog Player has

already some auto-yield (*). Mostlikely this will
then prevent the OS from killing the GPU.

Will see! WebLLM etc.. can also do it.

Bye

(*) A browser does also kill a long runnning
JavaScript, it was a similar issue.

Chris M. Thomasson schrieb:
 > On 7/8/2026 11:44 AM, Mild Shock wrote:
 >> Hi,
 >>
 >> We can thank the gamers, that GPUs developed muscles:
 >>
 >> The global video game industry contributes hundreds
 >> of billions to worldwide GDP, generating over $500
 >> billion in total market volume. The global software
 >> and services market alone accounts for an estimated
 >> $255 billion, easily surpassing the film and recorded
 >> music industries combined.
 >>
 >> How it started:
 >>
 >> URP Cookbook: Compute shaders - Part 1: Particle fun
 >> https://www.youtube.com/watch?v=omZap7XHxKc
 > [...]
 >
 > Compute shaders are pretty nice. Except then the damn os can cancel 
them because they took too long! God damn windows! ;^)
 >
 > I have ported my field to compute shaders and geometry shaders. They 
work great! A compute shader can take a field from say 30 seconds on a 
high performance multi-threaded cpu version down to around 3 seconds. 
The compute shader is using atomic operations for thread, or warp sync.
 >
 > The geometry shader makes my field in real time.
 >

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