Curt Doolittle

Form: Quote Commentary

  • RT @Outsideness: … “Conservatives may tell themselves that they are the normal

    RT @Outsideness: … “Conservatives may tell themselves that they are the normal people party, too satisfied and content to expend much tim…

    Source date (UTC): 2021-04-22 11:07:16 UTC

    Original post: https://twitter.com/i/web/status/1385188447850274817

  • RT @Outsideness: “Asking why corporations are woke is like asking why Hispanics

    RT @Outsideness: “Asking why corporations are woke is like asking why Hispanics tend to have two arms …” https://richardhanania.substack.com/p/why-is-everything-liberal

    Source date (UTC): 2021-04-22 01:57:21 UTC

    Original post: https://twitter.com/i/web/status/1385050056328368132

  • RT @LukeWeinhagen: @curtdoolittle @bryanbrey @ThruTheHayes @WorMartiN Game desig

    RT @LukeWeinhagen: @curtdoolittle @bryanbrey @ThruTheHayes @WorMartiN Game design is just incentive design.
    Incentive number always has to…

    Source date (UTC): 2021-04-21 00:42:02 UTC

    Original post: https://twitter.com/i/web/status/1384668714352758787

  • “Excluding some african languagse, english has the largest vowel vocabulary in t

    —“Excluding some african languagse, english has the largest vowel vocabulary in the world” —

    Source date (UTC): 2021-04-21 00:20:45 UTC

    Original post: https://twitter.com/i/web/status/1384663360252387330

  • Comment on the present condition of AI

    Good. Accurate. Would say that I think at least some of us who are aware of the three shortcomings that confirm your opinion. hardware, world model, self-training, sufficient recursion of prediction.
     
    (a) neural nets today can categorize and predict within a trained domain. in other words, they aren’t ai’s their robots (machines)
    (b) adversarial neural nets can only improve that process
    (c) the hardware is inverted from the brain which has many millions of tiny processors (columns) working in parallel vs serial or batches of serial processing.
    (d) the brain works on sequences in time that test for coherence of prediction between ‘nodes’ (groups of neurons, columns, macro columns)
    (e) the coherent predictions across these subsystems survive competition with one another for integration,
    (f) integration of relatively simultaneous predictions produces our experience of a moment.
    (g) the brain creates an index of coherence producing an episodic memory out of location, place, borders, landmarks, objects, head direction, eye direction, the direction of movement, rate of turn, and rate of movement.
    (h) it is these episodes that survive the test of coherence over time in a continuous stream of input that we auto-associate with one another, producing predictions.
    (i) we ‘wayfind’ by recursion.
    (j) we develop a hierarchy of recursion, and eventually what we call consciousness if enough recursion is possible, across enoug neurons, with enough biological economy to maintain that neural activity.
     
    So thats a more precise manner of explainin the authors correct assessment that all we have done is produce hardware cheap enough to accomplish what all of us working on AI in the 80s knew already. And thanfully tools that make development cheap enough. But really, Baysian systems are just another form of database for the categorization of stimuli.

  • Comment on the present condition of AI

    Good. Accurate. Would say that I think at least some of us who are aware of the three shortcomings that confirm your opinion. hardware, world model, self-training, sufficient recursion of prediction.
     
    (a) neural nets today can categorize and predict within a trained domain. in other words, they aren’t ai’s their robots (machines)
    (b) adversarial neural nets can only improve that process
    (c) the hardware is inverted from the brain which has many millions of tiny processors (columns) working in parallel vs serial or batches of serial processing.
    (d) the brain works on sequences in time that test for coherence of prediction between ‘nodes’ (groups of neurons, columns, macro columns)
    (e) the coherent predictions across these subsystems survive competition with one another for integration,
    (f) integration of relatively simultaneous predictions produces our experience of a moment.
    (g) the brain creates an index of coherence producing an episodic memory out of location, place, borders, landmarks, objects, head direction, eye direction, the direction of movement, rate of turn, and rate of movement.
    (h) it is these episodes that survive the test of coherence over time in a continuous stream of input that we auto-associate with one another, producing predictions.
    (i) we ‘wayfind’ by recursion.
    (j) we develop a hierarchy of recursion, and eventually what we call consciousness if enough recursion is possible, across enoug neurons, with enough biological economy to maintain that neural activity.
     
    So thats a more precise manner of explainin the authors correct assessment that all we have done is produce hardware cheap enough to accomplish what all of us working on AI in the 80s knew already. And thanfully tools that make development cheap enough. But really, Baysian systems are just another form of database for the categorization of stimuli.

  • RT @ThruTheHayes: @WorMartiN @curtdoolittle @TomWils11686864 @LukeWeinhagen No a

    RT @ThruTheHayes: @WorMartiN @curtdoolittle @TomWils11686864 @LukeWeinhagen No agency, no choices, no conscious agent. Justificatory hairle…

    Source date (UTC): 2021-04-18 19:34:33 UTC

    Original post: https://twitter.com/i/web/status/1383866559278448640

  • “Since the universe is deterministic and people are just bots, we can call every

    –“Since the universe is deterministic and people are just bots, we can call everything involuntary and be done with it.”- WorMartin

    Source date (UTC): 2021-04-18 19:16:21 UTC

    Original post: https://gab.com/curtd/posts/106087932329115344

  • RT @newsmax: House Republicans to assemble a Trump-inspired ‘America First’ cauc

    RT @newsmax: House Republicans to assemble a Trump-inspired ‘America First’ caucus http://ow.ly/Xefa50EqUlR

    Source date (UTC): 2021-04-17 20:57:39 UTC

    Original post: https://twitter.com/i/web/status/1383525083365343240

  • RT @washingtonpost: Trump loyalists start “America First Caucus” to promote U.S.

    RT @washingtonpost: Trump loyalists start “America First Caucus” to promote U.S. as “uniquely Anglo-Saxon” https://wapo.st/3ah7IAE

    Source date (UTC): 2021-04-17 20:57:32 UTC

    Original post: https://twitter.com/i/web/status/1383525055582269445