The singularity is at the end of the rainbow

[Mild Shock]

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.
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.

[Mild Shock]

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

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

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.
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.

[Mild Shock]

Hi,

If there was singularity there will be signs.

Like we might operate the pyramids:

Dream Frequency Progressive Psytrance Mix 2017

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

Post by Mild Shock
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,
Will Digital Intelligence Replace Biological Intelligence?
Geoffrey Hinton - 2024
http://youtu.be/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,
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

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.

 > 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.