• The singularity is at the end of the rainbow

    From Mild Shock@janburse@fastmail.fm to comp.lang.prolog on Sun Jan 26 01:06:44 2025
    From Newsgroup: comp.lang.prolog


    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.

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  • From Mild Shock@janburse@fastmail.fm to comp.lang.prolog on Mon Jan 27 09:04:07 2025
    From Newsgroup: comp.lang.prolog


    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.


    --- Synchronet 3.20c-Linux NewsLink 1.2
  • From Mild Shock@janburse@fastmail.fm to comp.lang.prolog on Mon Jan 27 12:23:28 2025
    From Newsgroup: comp.lang.prolog

    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.



    --- Synchronet 3.20c-Linux NewsLink 1.2