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Groups > sci.physics > #896202
| From | Mild Shock <janburse@fastmail.fm> |
|---|---|
| Newsgroups | sci.physics |
| Subject | AI Laptops are just strange novel xBoxes (Re: AI dooms day escape: Güttinger Wald) |
| Date | 2026-07-08 20:46 +0200 |
| Message-ID | <112m5u8$7b6m$3@solani.org> (permalink) |
| References | <10seekb$rsl4$4@solani.org> <10sias6$ud5u$4@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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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
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