Theme: AI

  • THE AI PROBLEM HIERARCHY (it’s harder than it looks)

    THE AI PROBLEM HIERARCHY
    (it’s harder than it looks) https://twitter.com/curtdoolittle/status/1674244106959089664

  • (Casper: Correct ) This is also the weakness in ambitions for AI: most hard prob

    (Casper: Correct )
    This is also the weakness in ambitions for AI: most hard problems are not mathematically reducible, and worse are also insufficiently computable and computationally reducible. As such only real-world experimentation can produce the information necessary for further induction and deduction.

    While mathematical and computational trial and error is relatively cheap (compute), designing experiments, hiring and organizing researchers, and interpreting results is expensive.

    The same problem is extendable to applied AI’s outside of the sciences: most everything is ‘owned’ in whole or part by someone, and we exist by not violating those rules of permissibility. And we must pay the often high costs of making use of whatever is ‘owned in whole or part’.

    And lastly, we must observe external consequences producing both gains and costs that evolve from our actions.

    So the four worlds (domains): 1) mathematical and computable world costs, 2) the world of physical action and costs, 3) the world of assets, permission, and costs 4) and the world of evolutionary outcomes affecting us indirectly with benefits and costs.

    Economists know this intrinsically because we are overwhelmingly aware of the limits of mathematics and computation. And we prefer simulation. And given the kaleidic universe because of causal density, even simulations are not granular enough to produce other than experiments in potential variations. And we cannot ever predict black swan events.

    It’s clear that AI will improve all of these categories but the evolution of that process is increasingly difficult because the predictability of that hierarchy increases.

    It’s when AIs can solve all four domains then they become interesting. Until them is our mistaken use of them that’s a threat. 😉

    Human frailty. 😉

    Reply addressees: @cwilstrup @DrJimFan @AbzuAI


    Source date (UTC): 2023-06-29 02:31:15 UTC

    Original post: https://twitter.com/i/web/status/1674244106762047489

    Replying to: https://twitter.com/i/web/status/1674104937632890892

  • 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

  • (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