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AI most hated by formal verification (Re: Fuzzy Alert: Boris the Loris on the Dancefloor)

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Hi,

So Boris the Loris and Nazi Retartd Julio are
not alone. There is now a mobilization of the
kind of rage against the machine,

fighting for methods without randomness. Its
almost like  Albert Einstein ascendet from his
grave and is now preaching,

"God does not play dice"

So how it started:

PIVOT was an interactive program verifier designed by
L. Peter Deutsch for his Ph.D. dissertation.
Posted here by permission of L. Peter Deutsch.
https://softwarepreservation.computerhistory.org/pivot/

How its going:

Formal Methods: Whence and Whither?
The text also highlights the evolving role of formal
methods amidst technological advancements, such as
AI, and explores educational and standardization issues
related to their adoption.
https://de.slideshare.net/slideshow/formal-methods-whence-and-whither-keynote/273708245

Can the Don Quijotes win, and fight the AI windmills?

LoL

Bye

Mild Shock schrieb:
> Hi,
> 
> Boris the Loris and Julio Di Egidio the Nazi Retard,
> are going for an afterwork beer. They are still
> highly confused by Fuzzy Testing:
> 
> Star Trek - The 70's Disco Generation
> https://www.youtube.com/watch?v=505zvAvnreg
> 
> The favorite hangout is Spock's Logic Dancefloor,
> which is known for its sharp unfuzzy wit. They
> have  a chat with Data about Disco Math,
> 
> the only Math which has no Fuzzy Logic in it.
> 
> Bye
> 
> Mild Shock schrieb:
>> Hi,
>>
>> Candidate Recommendation Draft - 30 September 2025
>> https://www.w3.org/TR/webnn
>>
>> WebNN samples by Ningxin Hu, Intel, Shanghai
>> https://github.com/webmachinelearning/webnn-samples
>>
>> Bye
>>
>> Mild Shock schrieb:
>>> Hi,
>>>
>>> It seems I am having problems pacing with
>>> all the new fancy toys. Wasn't able to really
>>> benchmark my NPU from a Desktop AI machine,
>>>
>>> picked the wrong driver. Need to try again.
>>> What worked was benchmarking Mobile AI machines.
>>> I just grabbed Geekbench AI and some devices:
>>>
>>> USA Fab, M4:
>>>
>>>      sANN    hANN    qANN
>>> iPad CPU    4848    7947    6353
>>> iPad GPU    9752    11383    10051
>>> iPad NPU    4873    36544    *51634*
>>>
>>> China Fab, Snapdragon:
>>>
>>>      sANN    hANN    qANN
>>> Redmi CPU    1044    950    1723
>>> Redmi GPU    480    905    737
>>> Redmi NNAPI    205    205    469
>>> Redmi QNN    226    226    *10221*
>>>
>>> Speed-Up via NPU is factor 10x. See the column
>>> qANN which means quantizised artificial neural
>>> networks, when NPU or QNN is picked.
>>>
>>> The mobile AI NPUs are optimized using
>>> mimimal amounts of energy, and minimal amounts
>>> of space squeezing (distilling) everything
>>>
>>> into INT8 and INT4.
>>>
>>> Bye
>>
> 

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Thread

NPUs (Neural Processing Units) are the new normal Mild Shock <janburse@fastmail.fm> - 2025-10-15 16:15 +0200
  AI most hated by formal verification (Re: Fuzzy Alert: Boris the Loris on the Dancefloor) Mild Shock <janburse@fastmail.fm> - 2025-11-26 17:03 +0100
    Googles TPU muscle in 2017 [Prolog Community is Sleepy Joe] (Was: Zeus: A Language for Expressing Algorithms in Hardware) Mild Shock <janburse@fastmail.fm> - 2025-11-27 15:22 +0100
    The tables have turned: GigaLIP on the Laptop? (Re: 100% serious Giga Logical Inferences per Second (GLIPS)) Mild Shock <janburse@fastmail.fm> - 2025-11-28 15:13 +0100

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