Curt Doolittle

Form: Short Note

  • MY FAVORITE NERDY GIRL CRUSH ON STAMFORD’S AI (very smart. watch it.)

    MY FAVORITE NERDY GIRL CRUSH ON STAMFORD’S AI
    (very smart. watch it.)
    https://www.youtube.com/watch?v=K2Ua4LkyxRY

    Source date (UTC): 2023-04-01 17:24:08 UTC

    Original post: https://twitter.com/i/web/status/1642216287685300225

  • TRUMP This is what causes civil wars to turn from cold, to warm, to hot. And we

    TRUMP
    This is what causes civil wars to turn from cold, to warm, to hot. And we are in a time where internal conflicts, and external conflicts, are occurring in an era of profound world change as the american funding of world development at the expense of our people is coming to… https://twitter.com/curtdoolittle/status/1641958303612764161

    Source date (UTC): 2023-04-01 01:34:36 UTC

    Original post: https://twitter.com/i/web/status/1641977329051226113

  • Ok, so twitter recommendation code is out. But it doesn’t have the weights of th

    Ok, so twitter recommendation code is out. But it doesn’t have the weights of the NN, and there aren’t any graphs that display results.
    It’s what I expected but more complicated than I expected. And requires more processing than I expected.
    What I can see off the bat, is that it’s going to gravitate to a sort of echo chamber centered around content producers. And there is no hierarchical separation, so that’s why it produces a race to the bottom at times.
    Fascinating.
    Without some metrics on the result I don’t know how to evaluate what we’re seeing.
    What I”ll gamble on, and it’s the reason for ‘the problem’ is that it’s far more complicated than it needs to be, because in general, these algorithms drive toward deterministic results with far fewer criteria.
    Can’t wait until we see more.

    Source date (UTC): 2023-03-31 23:00:10 UTC

    Original post: https://twitter.com/i/web/status/1641938467092307972

  • Ok, so twitter recommendation code is out. But it doesn’t have the weights of th

    Ok, so twitter recommendation code is out. But it doesn’t have the weights of the NN, and there aren’t any graphs that display results.
    It’s what I expected but more complicated than I expected. And requires more processing than I expected.
    What I can see off the bat, is that it’s going to gravitate to a sort of echo chamber centered around content producers. And there is no hierarchical separation, so that’s why it produces a race to the bottom at times.
    Fascinating.
    Without some metrics on the result I don’t know how to evaluate what we’re seeing.
    What I”ll gamble on, and it’s the reason for ‘the problem’ is that it’s far more complicated than it needs to be, because in general, these algorithms drive toward deterministic results with far fewer criteria.
    Can’t wait until we see more.

    Source date (UTC): 2023-03-31 23:00:10 UTC

    Original post: https://twitter.com/i/web/status/1641938467234955271

  • GREAT VIDEO ON THE BRAIN’S INTERNAL MODEL OF THE WORLD Of course I think my seri

    GREAT VIDEO ON THE BRAIN’S INTERNAL MODEL OF THE WORLD
    Of course I think my series on the hippocampal region is better, 😉 but this one is good. And it’s probably more accessible to the general audience. 😉

    https://www.youtube.com/watch?v=9qOaII_PzGY

    Source date (UTC): 2023-03-31 22:47:04 UTC

    Original post: https://twitter.com/i/web/status/1641935170256134144

  • Thoughts: They reacted quickly enough to stop a contagion spiral. As a general r

    Thoughts: They reacted quickly enough to stop a contagion spiral. As a general rule, the rate of correction equals the harms of correction – because humans adapt poorly fast, adapt well relatively slowly, and rely largely on social proof as urgency of risk increases. If the levers of power can dissipate the rate of the necessary correction then we will see consolidation rather than collapses. But I don’t have much faith in them, mostly because the problem is so large, and the possibility of various ‘runs’ on all sorts of assets – even runs on the belief in teh future, are possible. And we are in very stormy global waters. Near term risks are continued gradual stagnation, continued shift in world capital combined with demographic reduction of investment capital, possible wars that will heavily disrupt trade, ecnomies and employement, and possible internal american political confict which is vastly under-weighted outside of the states.

    Source date (UTC): 2023-03-31 16:05:08 UTC

    Original post: https://twitter.com/i/web/status/1641834017044455425

    Replying to: https://twitter.com/i/web/status/1641800393192624128

  • Thoughts: They reacted quickly enough to stop a contagion spiral. As a general r

    Thoughts: They reacted quickly enough to stop a contagion spiral. As a general rule, the rate of correction equals the harms of correction – because humans adapt poorly fast, adapt well relatively slowly, and rely largely on social proof as urgency of risk increases. If the levers of power can dissipate the rate of the necessary correction then we will see consolidation rather than collapses. But I don’t have much faith in them, mostly because the problem is so large, and the possibility of various ‘runs’ on all sorts of assets – even runs on the belief in teh future, are possible. And we are in very stormy global waters. Near term risks are continued gradual stagnation, continued shift in world capital combined with demographic reduction of investment capital, possible wars that will heavily disrupt trade, ecnomies and employement, and possible internal american political confict which is vastly under-weighted outside of the states.

    Reply addressees: @VelenskiMeir

    Source date (UTC): 2023-03-31 16:05:08 UTC

    Original post: https://twitter.com/i/web/status/1641834016935407617

    Replying to: https://twitter.com/i/web/status/1641800393192624128

  • GPT-4 SUMMARIZES MY 14 RULES OF EVOLUTIONARY COMPUTATION Prompt: –“Please Summa

    GPT-4 SUMMARIZES MY 14 RULES OF EVOLUTIONARY COMPUTATION
    Prompt:
    –“Please Summarize [pasted text]”–

    The text provides a series of propositions that relate to the evolutionary computation of natural systems, human cognition, and human social organization. The author suggests that all causality and existence results from the universe’s attempt to decrease dissipation or increase organization, and that causality calculates potential for increasing organization. The text discusses the concepts of stable relations, continuous recursive disambiguation, and sex differences in the division of labor in evolutionary computation. The author argues that human organizational differences evolve from influence, coercion, and power and that human political organizations evolve from these three methods. The text states that the rate of evolutionary computation is determined by the order of founding institutions, and that organizing humans into evolutionary computation is difficult but produces the most commons, with the highest trust, highest risk tolerance, highest economic velocity, highest investment, and fastest innovation, adaptation, and evolution. The text concludes by discussing the success of European civilization, which the author suggests resulted from the maximization of evolutionary computation by maximizing the opportunity for self-determination, reciprocal insurance of sovereignty in demonstrated interests, and markets in all aspects of life.

    Source date (UTC): 2023-03-31 15:31:57 UTC

    Original post: https://twitter.com/i/web/status/1641825669293174786

  • GPT-4 SUMMARIZES MY 14 RULES OF EVOLUTIONARY COMPUTATION Prompt: –“Please Summa

    GPT-4 SUMMARIZES MY 14 RULES OF EVOLUTIONARY COMPUTATION
    Prompt:
    –“Please Summarize [pasted text]”–

    The text provides a series of propositions that relate to the evolutionary computation of natural systems, human cognition, and human social organization. The author suggests that all causality and existence results from the universe’s attempt to decrease dissipation or increase organization, and that causality calculates potential for increasing organization. The text discusses the concepts of stable relations, continuous recursive disambiguation, and sex differences in the division of labor in evolutionary computation. The author argues that human organizational differences evolve from influence, coercion, and power and that human political organizations evolve from these three methods. The text states that the rate of evolutionary computation is determined by the order of founding institutions, and that organizing humans into evolutionary computation is difficult but produces the most commons, with the highest trust, highest risk tolerance, highest economic velocity, highest investment, and fastest innovation, adaptation, and evolution. The text concludes by discussing the success of European civilization, which the author suggests resulted from the maximization of evolutionary computation by maximizing the opportunity for self-determination, reciprocal insurance of sovereignty in demonstrated interests, and markets in all aspects of life.

    Source date (UTC): 2023-03-31 15:31:57 UTC

    Original post: https://twitter.com/i/web/status/1641825669159043076

  • Yeah, I think GPT is going to help me get to publication a bit faster. 😉

    Yeah, I think GPT is going to help me get to publication a bit faster. 😉

    Source date (UTC): 2023-03-31 15:24:58 UTC

    Original post: https://twitter.com/i/web/status/1641823911066185728

    Reply addressees: @DanAnde23836316

    Replying to: https://twitter.com/i/web/status/1641821539434733568