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AnythingLLM QNN/ONNX: Massiv Computations versus John Sowa (Re: Rene Descartes "Discours de la méthode" has fizzled out)

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Hi,

Ha Ha, remember this post on SWI-Prolog
discourse, the primary source for morons such
as Boris the Loris and Nazi Retard Julio:

"The idea that LLM-based methods can become
more intelligent by using massive amounts
of computation is false. They can generate
more kinds of BS, but at an enormous cost in
hardware and in the electricity to run that
massive hardware. But without methods of
evaluation, the probability that random mixtures
of data are true or useful or worth the cost
of generating them becomes less and less likely."
- John Sowa, 10 Jul 2024
https://swi-prolog.discourse.group/t/prolog-and-llms-genai/8699

Guess what my new ThinkCentre, that just arrived
via Lenovo, China, with a Snapdragon X, for around
700.- USD could easily run locally some inferencing.

I was using AnythingLLM, it has little idioctic
electron user interface, but can support
Snapdragon X NPU and models, via QNN/ONNX:

The all-in-one AI application
https://anythingllm.com/

Tested a LLama Model, a little bit chatty to
be honest, and a Phi Silica model, not yet that
good in coding. Where did the massive computation

come from? From the SOC and the unified memory
of the Snapdragon. I had 32 GB, and 16 GB was
shared with the NPU. So you don't need to

buy an Aura Yoga laptop, which has separate
NVIDIA Graphics card, with only 8 GB. This
graphic card will be useless, many interesting

models are above 8 GB. And yes the massive
computation obviously leads to more intelligence.
The later is a riddle for every Prologer, how

could more LIPS (logical inference per second)
lead to more intelligence?

Bye

Mild Shock schrieb:
> Hi,
> 
> How it started:
> 
> https://conceptbase.sourceforge.net/
> 
> How its going:
> 
> https://www.ibm.com/products/datastax
> 
> The problem with claims such as " Formal languages,
> such as KAOS, are based on predicate logic and
> capture additional details about an application
> in a precise manner. They also provide a foundation
> for reasoning with information models." is that
> every thing in the quoted sentence is wrong.
> 
> Real AI systems scale by approximation,
> vectorization, distributed representations,
> and partial knowledge — not by globally
> consistent logical models. No classical requirements
> language or ontology captures the informal
> cognitive machinery that makes
> intelligence flexible. Intelligence needs the
> whole messy cognitive spectrum.
> 
> Somehow DataStax looks like n8n married AI embedding.
> I hope Amazon, Meta, Google, etc.. get the message.
> I don't worry about Microsoft, they might come with
> 
> something from their Encarta corner and Copilot+ is
> more Local AI. After all we need things like Wikidata
> in a Robot and not in a Data Center.
> 
> LoL
> 
> Bye

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Rene Descartes "Discours de la méthode" has fizzled out Mild Shock <janburse@fastmail.fm> - 2025-11-14 11:27 +0100
  Philosophical Twist due to negligence (Re: Rene Descartes "Discours de la méthode" has fizzled out) Mild Shock <janburse@fastmail.fm> - 2025-11-14 11:44 +0100
    Re: Philosophical Twist due to negligence (Re: Rene Descartes "Discours de la méthode" has fizzled out) Ross Finlayson <ross.a.finlayson@gmail.com> - 2025-11-14 11:10 -0800
      NY is the next Detroit in 2035 (Was: Philosophical Twist due to negligence) Mild Shock <janburse@fastmail.fm> - 2025-11-14 23:12 +0100
        Its a little sad story with NY (Was: NY is the next Detroit in 2035) Mild Shock <janburse@fastmail.fm> - 2025-11-14 23:25 +0100
          Re: Its a little sad story with NY (Was: NY is the next Detroit in 2035) Mild Shock <janburse@fastmail.fm> - 2025-11-14 23:45 +0100
    How to not be Artificial Intelligent [Boris the Loris deeply shocked] (Re: Philosophical Twist due to negligence) Mild Shock <janburse@fastmail.fm> - 2025-11-16 11:24 +0100
      Abstraction refinement (CEGAR) etc.. [Community Blind Spot] (Was: How to not be Artificial Intelligent) Mild Shock <janburse@fastmail.fm> - 2025-11-16 12:05 +0100
        The illusion of set theories [Computational Logic Primate] (Was: Abstraction refinement (CEGAR) etc.. [Community Blind Spot]) Mild Shock <janburse@fastmail.fm> - 2025-11-16 13:08 +0100
          Not all logicians are primarily interested in "computation" (Re: The illusion of set theories [Computational Logic Primate]) Mild Shock <janburse@fastmail.fm> - 2025-11-16 16:32 +0100
  AnythingLLM QNN/ONNX: Massiv Computations versus John Sowa (Re: Rene Descartes "Discours de la méthode" has fizzled out) Mild Shock <janburse@fastmail.fm> - 2025-11-25 20:07 +0100
    Benchmark results DirectML versus QNN [Challenge for Geekbench AI] (Re: AnythingLLM QNN/ONNX: Massiv Computations versus John Sowa) Mild Shock <janburse@fastmail.fm> - 2025-11-25 20:17 +0100

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