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Subject: Re: Remember "Bit-Slice" Chips ?
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From: "186282@ud0s4.net" <186283@ud0s4.net>
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Date: Sat, 21 Dec 2024 03:00:48 -0500
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On 12/20/24 4:21 PM, D wrote:
> 
> 
> On Fri, 20 Dec 2024, rbowman wrote:
> 
>> On Fri, 20 Dec 2024 01:31:30 -0500, 186282@ud0s4.net wrote:
>>
>>>    It's the 'hand-wave' thing that sunk the first AI paradigm.
>>>    Marv Minsky (who posted on usenet for awhile) and friends saw how
>>>    easily 'decisions' could be done with a transistor or two and assumed
>>>    it would thus be easy to build an AI. AC Clarke used the Minsky
>>>    optimism when fashioning the idea of "HAL".
>>
>> Minsky threw a wrench in the works with his 9169 'Perceptrons'. He had
>> tried to implement B. F. skinner's operant condition with a analog lashup
>> that sort of worked if the vacuum tubes didn't burn out. Rosenblatt has
>> built a 'Perceptron' and Minsky pointed out original design couldn't
>> handle an XOR. That sent research down another rabbit hole.
>>
>> By the '80s the original perceptron had evolved into a multilayer network
>> train by back propagation. When I played around with it 'Parallel
>> Distributed Processing' by Rumelhart and McClelland was THE book.
>>
>> https://direct.mit.edu/books/monograph/4424/Parallel-Distributed-
>> Processing-Volume
>>
>> The ideas were fascinating but the computing power wasn't there. Most of
>> what I learned then is still relevant to TensorFlow and the other neural
>> network approaches except now there are the $30,000 Nvidia GPUs to do the
>> heavy lifting.
>>
>> The '80s neural networks weren't practical so the focus shifted to expert
>> systems until they petered out. The boom and bust cycles led to the term
>> 'AI Winter'
>>
>> https://www.techtarget.com/searchenterpriseai/definition/AI-winter
>>
>> I think something worthwhile will come from this cycle but ultimately it
>> won't be the LLMs that are getting all the hype.
> 
> I wonder if not facebook, open sourcing their llm threw quite a wrench 
> in the Open AI machinery this time.
> 
> Open AI:s ai is stagnating, and I think perhaps the development of the 
> open source models will be good enough so that open ai might not be able 
> to recoup all the massive amounts of money that has been invested in them.
> 
> Then another ai winter, and after that, our dear llms might be ready for 
> prime time!


   I think what LLMs do is a PART of 'intelligence/self',
   just not ALL of it. OTHER methods/layers maybe CAN
   be spliced in to fill the weak bits.

   Brains are an evolutionary hodgepodge - 'whatever was
   needed/worked'. 600+ million years of field testing.

   Kinda amazed they work at all. There's also a weird,
   almost 'holographic', nature to them - some of those
   kids blasted by hydrocephalus, with little grey
   matter left, still managed average or even a bit
   above average IQs. It's the same with 'cerebral
   palsy' cases. They STILL produce a 'person' in
   there. The System WANTS to work.

   Anyway, LLMs contaminated by some NN action and
   e-motions and maybe a few other odd bits ... and
   don't forget to include those hard-wired evolutionary
   sub-routines.

   TIGER !!!