Category: AI, Computation, and Technology

  • The LLMs know my work – at least through 2021. If I ask Chat GPT for example a q

    The LLMs know my work – at least through 2021. If I ask Chat GPT for example a question about it, it will get it wrong. If I ask Perplexity it will get it right. There are conditions under which these AI’s should more closely mirror (quote) the content, because summarization or…


    Source date (UTC): 2023-06-28 16:01:37 UTC

    Original post: https://twitter.com/i/web/status/1674085654186057728

    Replying to: https://twitter.com/i/web/status/1674084644135014400

  • @perplexity_ai is so much more sophisticated than competiors that it’s really th

    @perplexity_ai is so much more sophisticated than competiors that it’s really the only one I can use for my work. In fact, it’s the only one that doesn’t ‘get it wrong’ or hallucinate.


    Source date (UTC): 2023-06-28 15:16:11 UTC

    Original post: https://twitter.com/i/web/status/1674074219095760899

  • log out, then in

    log out, then in.


    Source date (UTC): 2023-06-28 08:00:23 UTC

    Original post: https://twitter.com/i/web/status/1673964545373609984

    Reply addressees: @NoahRevoy

    Replying to: https://twitter.com/i/web/status/1673957509810253825

  • (Staff Humor) –“I’ve never seen a better union than Curt + GPT4. It can be his

    (Staff Humor)
    –“I’ve never seen a better union than Curt + GPT4. It can be his 4th wife. The final symbiosis. ;)”– Tyler

    Ouch. That hurt. Because truth hurts. 😉


    Source date (UTC): 2023-06-26 13:43:45 UTC

    Original post: https://twitter.com/i/web/status/1673326180949164033

  • (NLI Team) Yet another GPT4 test. Generally, it’s spot on. But it doesn’t appear

    (NLI Team)
    Yet another GPT4 test.
    Generally, it’s spot on.
    But it doesn’t appear to account for my explanation of why terms are of narrower definition than convention, even when I explain it.

    —-
    GPT4 Response:

    This passage appears to be a philosophical and scientific exploration of the principles of evolution, complexity, and computation. It’s quite dense and uses a lot of specialized terminology, but here’s a general interpretation:

    Cooperation and Evolutionary Computation: The author suggests that cooperation between different entities (possibly referring to biological organisms, but potentially also to other types of entities) can lead to a process of “evolutionary computation”. This process involves the discovery of equilibriums or balances between different forces or factors, which the author describes as “feminine” (demand, unlimited) and “masculine” (supply, limited).

    Hierarchy of Adaptive Complexity: The author proposes that this process of evolutionary computation can lead to the creation of increasingly complex structures, from atoms and molecules to cells, organisms, and ecosystems. This hierarchy of complexity is driven by the discovery of stable relations between different entities, which can be recombined in new ways to create more complex structures.

    Quanta of Marginal Difference: The author suggests that each level in this hierarchy is determined by a certain “quantum” or unit of difference, which is necessary for stable relations to persist over time. This increase in the scope of computational possibility is what determines each scale.

    Ternary Logic of Evolutionary Computation: The author introduces the concept of a “ternary logic” of evolutionary computation, which involves a balance or equilibrium between consumption of energy (-), stable relations of energy (=), and production of energy (+), or the collapse of energy (!=). This logic is proposed as a universal means of explaining all phenomena in the universe.

    Universal Decidability and Grammar: The author suggests that this ternary logic provides a universal test of decidability for any claims about the physical, behavioral, or evolutionary world. It also provides a universal grammar for constructing narratives or stories about the world.

    This passage seems to be an attempt to integrate concepts from various fields, including biology, physics, computer science, and philosophy, to create a comprehensive model of evolution, complexity, and computation. Some of the terms and ideas presented are complex and may not align with mainstream scientific understanding. The author also seems to use some terms in non-standard ways, which can make the passage difficult to understand.


    Source date (UTC): 2023-06-25 18:57:51 UTC

    Original post: https://twitter.com/i/web/status/1673042842074116101

  • RT @TylerNeutron: @curtdoolittle Beautiful. Finally, AI can bridge the gap betwe

    RT @TylerNeutron: @curtdoolittle Beautiful. Finally, AI can bridge the gap between Curt and the rest of humanity


    Source date (UTC): 2023-06-25 18:00:54 UTC

    Original post: https://twitter.com/i/web/status/1673028510074404864

  • (NLI Team) Another GPT4 test. —- This passage seems to be discussing the conce

    (NLI Team)
    Another GPT4 test.
    —-
    This passage seems to be discussing the concept of “acquisition” in the context of biological evolution and behavior. Here’s a general interpretation of the main ideas:

    Acquisition: The author uses the term “acquisition” to refer to the process… https://twitter.com/curtdoolittle/status/1673023050260905984


    Source date (UTC): 2023-06-25 17:43:03 UTC

    Original post: https://twitter.com/i/web/status/1673024016787943424

  • (NLI Team) (Seems to be another good use of ChatGPT: Ensuring that the work is c

    (NLI Team)
    (Seems to be another good use of ChatGPT: Ensuring that the work is comprehensible.)

    ChatGPT4 Response:

    This passage appears to be an attempt to describe the nature of the universe and the principles of causality from a philosophical and scientific perspective. It seems to draw on concepts from physics, cosmology, and information theory, among other fields. Here’s a general breakdown of the main ideas:

    1. Discrete Existence: The author asserts that the universe and everything in it exists in a discrete (separate and distinct) manner, rather than in a continuous manner. This is a fundamental concept in quantum mechanics, where things like energy levels are quantized, or broken up into discrete units.

    2. Differentiation: The author suggests that the universe is under some kind of pressure, which leads to the creation of differences or variations. These differences can be discrete or continuous, and they can be described using computational or mathematical language.

    3. Energy and Matter: The author discusses the conservation of energy and suggests that the universe resolves differences in pressure through the creation of matter (increases in energy density) or space (increases in volume). This seems to be a reference to cosmological theories about the expansion of the universe and the creation of matter.

    4. Polarity and Stability: The author talks about the concept of polarity, or opposing forces, and suggests that stable relations can be formed through equilibrium between these forces. Unstable relations, on the other hand, will decay or collapse.

    5. Accumulation: The author suggests that the universe is characterized by a process of accumulation, where increases in energy density lead to new combinations and recombinations of matter. This process is described as a hierarchy of persistent recombinations.

    The passage is quite complex and seems to be an attempt to describe the universe in a holistic way, drawing on concepts from various scientific fields.

    Some of the ideas presented are speculative and may not align with mainstream scientific understanding. The author also seems to use some terms in non-standard ways, which can make the passage difficult to understand.


    Source date (UTC): 2023-06-25 17:39:13 UTC

    Original post: https://twitter.com/i/web/status/1673023050059505664

  • (NLI Team) Interesting. Running sections through ChatGPT4 and it’s able to under

    (NLI Team)
    Interesting. Running sections through ChatGPT4 and it’s able to understand.

    PROMPT:
    Please explain the following passage:

    Variables:
    |Behavior|: Sensation > Perception > Valuation > Prediction, Reaction > Action > Cooperation > Competition >…


    Source date (UTC): 2023-06-25 17:34:53 UTC

    Original post: https://twitter.com/i/web/status/1673021959313997827

  • (NLI Team) Interesting. Running sections through ChatGPT4 and it’s able to under

    (NLI Team)
    Interesting. Running sections through ChatGPT4 and it’s able to understand.

    PROMPT:
    Please explain the following passage:

    Variables:
    |Behavior|: Sensation > Perception > Valuation > Prediction, Reaction > Action > Cooperation > Competition > Survival(persistence).
    |Evolutionary Computation|: Conflict, Stress, Disequilbrium > Accumulation(physical) > Acquisition(life) > Cooperation(Sentient Life) > Evolutionary Consequence(ecology, selection, evolution).
    |Scale of Evolutionary Computation|: Individual > Others > Norms > Institutions > Civilizations
    |Means of Persistence|: Genetic(Genes, SNPs) > Epigenetic(Expression) > Neurological(Memory) > Habits(Responses) > Norms (others habits) > Traditions(Intergenerational) > Institutions(procedural) > Metaphysical presumptions

    ChatGPT’s Response
    This passage appears to be outlining a model or framework for understanding behavior and evolution from a computational perspective. Here’s a general interpretation of the main ideas:

    1. Behavior: The author suggests a sequence or process for behavior, starting with sensation (receiving information from the environment), followed by perception (interpreting this information), valuation (assigning value or importance to this information), prediction and reaction (anticipating and responding to future events based on this information), and finally action, cooperation, competition, and survival. This sequence seems to describe how organisms interact with their environment and with each other.

    2. Evolutionary Computation: The author proposes a model for evolution as a form of computation or problem-solving process. This process begins with conflict, stress, or disequilibrium, which leads to accumulation (in physical systems), acquisition (in living systems), and cooperation (in sentient or conscious systems). The outcome of this process is evolutionary change, which affects the ecology of the system and leads to natural selection and further evolution.

    3. Scale of Evolutionary Computation: The author suggests that this process of evolutionary computation can occur at different scales, from the individual to civilizations. This could be interpreted as a way of understanding how evolution operates at different levels of biological and social organization.

    4. Means of Persistence: The author outlines different mechanisms by which traits or behaviors can persist over time, from genetic and epigenetic factors (which affect the expression of genes), to neurological factors (such as memory), habits, norms, traditions, institutions, and metaphysical presumptions (presumably deeply held beliefs or assumptions).

    This passage seems to be an attempt to integrate concepts from various fields, including biology, psychology, sociology, and computer science, to create a comprehensive model of behavior and evolution.

    Some of the terms and ideas presented are complex and may not align with mainstream scientific understanding. The author also seems to use some terms in non-standard ways, which can make the passage difficult to understand.


    Source date (UTC): 2023-06-25 17:34:52 UTC

    Original post: https://twitter.com/i/web/status/1673021959049715716