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π-WAM is not adding decimals, it is removing decimals (Re: The invention of vector and matrix registers [NVIDIA Volta])

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Hi,

Come on Horsy Boy, you can do better. I
no where wrote something about curve
fitting and/or increasing the precision of

float point numbers:

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

What makes you think LIPS measures precision?
You should know better as a 50% Prologer.

I explictily wrote here what the goal is:

"shave off some of the TOPS to do Prolog inferencing"

What are TOPS? Its a metric for GPUs:

TOPS stands for “Trillions of Operations Per Second.”
https://www.lenovo.com/us/en/glossary/tops-in-computing/

See for yourself what is behind my post:

11.4 Giga Lips with a Budget Laptop
At the end of 2025 we acquired a couple of AI Laptops , that were still 
cheap, since RAM prices had not yet rocketed. The intend was to tap into 
the Copilot+ certified hardware, and shave off some of the TOPS to do 
Prolog inferencing. Amazingly our π-WAM can churn 11.4 GIGA LIPS.

GPUs have evolved form lock-step to independent thread scheduling. This 
made it possible to port the Hack VM variant, that forms the basis for 
our π-WAM, to WebGPU computer shaders. Using NUM_SHADERS = 4096 we could 
produce 11.4 Giga Lips on a Ryzen AI 7 350 w/ Radeon 860M.

See also:

Medium Article - 11.4 Giga Lips
https://medium.com/2989/899b0d5c027b

So just get lost with your crazy irrelevant rant.
When I get more LIPS, things run faster, and
I remove digits from the time dimension.

Got it. Or are you too stupid?

Bye

R Kym Horsell schrieb:
 > In comp.lang.prolog Ross Finlayson <ross.a.finlayson@gmail.com> wrote:
 > ...
 >> Data centers should pay a 10000% excise on electricity,
 >> wherever it comes from, a natural regulator of inverted economies.
 >> And by ten thousand percent I really mean a ten thousand percent.
 >
 > And what would a huge surcharge do?
 > Almost always end up affecting the less powerful end of society
 > with increased costs to services the AI industry will be doing
 > more and more of over time.
 >
 > I started a little data center (exaflops.com) many years ago.
 > In those distant days people (in fact one was a prof of computer
 > science) told me you could never make money running a supercomputer.
 > LOL.
 >
 > I've had many years to watch the trends and a far more efficient
 > way to solve resource problems in this area is to change the
 > algorithms. There is vast room for improvement, mostly because
 > of prevailing attitudes.
 >
 > I used to do competetion data science as a sideline. Companies
 > would pay almost any price to get an extra decimal place in
 > the accuracy of their forecasting processes. But typically
 > they were trying to supercharge a system that should be scrapped
 > and re-designed from scratch. One area I'm thinking of is
 > investment. I had a customer one time -- like many times --
 > ask to improve a system that predicted the future price of
 > various stocks. The idea (for them) was to have as accurate a
 > prediction of what some stock would be worth in a week or a month's
 > time so that some moron could use the information to decide when
 > to buy or sell the thing.
 >
 > I tried to argue the efficient thing was to create a system that
 > takes the human out of the loop altogether. It doesnt provide info
 > for someone to decide whether or not to follow the advice --
 > that is just introducing more noise into the loop and probably
 > cancels any benefit of adding a couple decimal places of precision.
 > What you *should* do is make a system that is tuned to robustly
 > maximize the profit from managing a portfolio.
 >
 > Of course they wouldnt come at that. You can't suggest taking the
 > managers out of the loop.
 >
 > Another idea relevant to current AI methods might be to curtail
 > use of typical neural net algorithms. Many of them try to squeeze
 > the best performance of some NN during the training  phase in
 > the hope the resulting system will generalize well enough to be useful
 > on new data. But there's kind-of a law that the harder you train
 > some system to perform a task well, the less well they can subsuently
 > perform a more general version of the same thing. It's amusing when
 > you look at the graphs of NN being trained and then tested that
 > given a more general problem to solve after being trained to solve
 > similar problems very very well the poor old NN does worse that it
 > would have done if it had 0 training in the first place.
 >
 > It's not like we dont know how to improve this kind of performance.
 > Try less hard in the training phase or make it "more noisy".
 > Turns out genetic methods are just the ticket for this.
 > The training produces less over-fitting and the resulting system
 > generalizes better than it did before training and more importantly
 > it takes maybe an order of magnitude crunching to produce a good answer
 > than the usual over-fit answer.
 >
 > Anyway. Have to go and feed the cat.
 >

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    NVIDIA evacuated its Chinese market [Tau Scaling] (Re: The things XILINX braught to the AMD table) Mild Shock <janburse@fastmail.fm> - 2026-07-23 19:12 +0200
      Re: NVIDIA evacuated its Chinese market [Tau Scaling] (Re: The things XILINX braught to the AMD table) Lane W <cactus_DAC@yahoo.com> - 2026-07-23 11:22 -0600
        Micro penis mother sung arias (Was: NVIDIA evacuated its Chinese market [Tau Scaling]) Mild Shock <janburse@fastmail.fm> - 2026-07-24 14:38 +0200
          Re: Micro penis mother sung arias (Was: NVIDIA evacuated its Chinese market [Tau Scaling]) Lane W <cactus_DAC@yahoo.com> - 2026-07-24 07:15 -0600
            Micro penis brain is in constant hiatus (Was: Micro penis mother sung arias) Mild Shock <janburse@fastmail.fm> - 2026-07-24 15:24 +0200
              Re: Micro penis brain is in constant hiatus (Was: Micro penis mother sung arias) Mild Shock <janburse@fastmail.fm> - 2026-07-24 15:36 +0200
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                Re: Ignoramus or Ignorabimus: I don't care (π-WAM) (Re: Micro penis brain is in constant hiatus) Lane W <cactus_DAC@yahoo.com> - 2026-07-24 08:31 -0600
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                Re: You are a moron, brainless putin payed (Was: Ignoramus or Ignorabimus: I don't care (π-WAM)) Lane W <cactus_DAC@yahoo.com> - 2026-07-24 10:27 -0600
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                Re: Yeah keep reading my posts, uninspired fool (Was: You are a moron, brainless putin payed) Lane W <cactus_DAC@yahoo.com> - 2026-07-24 12:11 -0600
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                Re: LoL (Was: Yeah keep reading my posts, uninspired fool ) Lane W <cactus_DAC@yahoo.com> - 2026-07-24 12:53 -0600
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