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From: Mild Shock <janburse@fastmail.fm>
Newsgroups: sci.logic
Subject: HG2G: If there was singularity there will be signs (Re: Are immortal
 brains such as ChatGPT LLM the singularity?)
Date: Mon, 27 Jan 2025 12:19:35 +0100
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Hi,

If there was singularity there will be signs.

Like we might operate the pyramids:

Dream Frequency Progressive Psytrance Mix 2017
https://www.youtube.com/watch?v=mh79aSX67Rs

Or start terraforming:

It was the home of a new form of specialist industry:
custom-made, luxury planet building. Hyperspatial
engineers sucked matter through white holes in space
to form dream planets - gold planets, square planets,
glass planets, platinum planets, soft rubber planets
with lots of earthquakes, planets covered with fish -
all lovingly made to meet the exacting standards that
the Galaxy's richest men naturally came to expect.

It was the Magratheans who constructed the planet-sized
computer, Earth (for a race of hyperintelligent pan-
dimensional beings, the mice and designed by Deep Thought),
to determine the ultimate question of Life, the Universe,
and Everything, which is required to understand the Answer
to Life, the Universe, and Everything.

Unfortunately, the venture was so successful that
Magrathea soon became the richest planet of all time
and the rest of the Galaxy was reduced to abject poverty.
The Magratheans went into hibernation, awaiting an
economic recovery that could afford their services
once more. Mostly everyone except Slartibartfast is
seen to be in hibernation.
https://hitchhikers.fandom.com/wiki/Magrathea

LoL

Bye

Mild Shock schrieb:
> Hi,
> 
> Besides interesting discussion of digital immortal
> versus analog mortal brains by Geoffrey Hinton .
> Also a nice piece of history concerning ChatGPT LLMs.
> 
> The key are feature vectors. According to Geoffrey
> Hinton’s own statements, there was a prototype of
> a Little Language Model (lLM) in 1985,
> 
> he mentions it in the middle of his talk here:
> 
> Will Digital Intelligence Replace Biological Intelligence?
> Geoffrey Hinton - 2024
> https://www.youtube.com/watch?v=Es6yuMlyfPw
> 
> He spends a few minutes in the talk to explain
> how feature vectors can represent meaning of words.
> And I suspect his ILM has been reflected in this paper,
> 
> probably the ChatGPT LLM ancestor:
> 
> Learning Distributed Representations of Concepts
> Geoffrey Hinton - 1986
> https://www.cs.toronto.edu/~hinton/absps/families.pdf
> 
> Prologers should be familier with the example he
> uses, i.e. Family Trees. BTW: The family tree of Geoffrey
> Hinton himself is also interesting, he is great-great-grandson
> 
> of the logician George Boole.
> 
> Bye¨
> Mild Shock schrieb:
>>
>> How it started:
>>
>>  > We are the last.
>>  > The last generation to be unaugmented.
>>  > The last generation to be intellectually alone.
>>  > The last generation to be limited by our bodies.
>>  >
>>  > We are the first.
>>  > The first generation to be augmented.
>>  > The first generation to be intellectually together.
>>  > The first generation to be limited only by our imaginations.
>>
>> How its going:
>>
>>  > The current discourse around AI and computation seems
>>  > to be shifting from the singularity (a hypothetical
>>  > moment when AI surpasses human intelligence in all
>>  > areas) to breaking computational and conceptual
>>  > walls—addressing the limits and bottlenecks that
>>  > arise in computational and cognitive systems.
>>  >
>>  > Herbert Simon’s work on bounded rationality
>>  > acknowledges that human decision-making is constrained
>>  > by cognitive limits. In AI, we're now grappling with
>>  > these conceptual walls—AI has its own limits based
>>  > on algorithms, models, and theoretical understanding
>>  > of computation.
>>  >
>>  > Even with novel algorithms, some fundamental barriers
>>  > remain due to the intrinsic hardness of certain problems.
>>  > This could be because of lower bounds on algorithmic
>>  > complexity or because the problem requires exponential
>>  > time to solve, regardless of how you design
>>  > the algorithm.
>>
>