Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]
Groups > sci.physics > #896202 > unrolled thread
| Started by | Mild Shock <janburse@fastmail.fm> |
|---|---|
| First post | 2026-07-08 20:46 +0200 |
| Last post | 2026-07-09 09:54 +0200 |
| Articles | 2 — 1 participant |
Back to article view | Back to sci.physics
This discussion starts older than the indexed window; earlier articles aren't shown. The article labeled Started by
below is the oldest one visible, not the original post.
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
| From | Mild Shock <janburse@fastmail.fm> |
|---|---|
| Date | 2026-07-08 20:46 +0200 |
| Subject | AI 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.
>
[toc] | [next] | [standalone]
| From | Mild Shock <janburse@fastmail.fm> |
|---|---|
| Date | 2026-07-09 09:54 +0200 |
| Subject | TDR 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. >
[toc] | [prev] | [standalone]
Back to top | Article view | sci.physics
csiph-web