Theme: AI

  • Chat GPT is Getting Jaw Dropping “On Doolittle’s Law” (I’m tracking it’s evoluti

    Chat GPT is Getting Jaw Dropping

    “On Doolittle’s Law”

    (I’m tracking it’s evolution of sophistication by it’s increasingly deep understanding of my work – which is brutally non-trivial. It can’t quite get the depth, and so it uses more convential frames at times, but it’s increasingly categorically correct and does very little hallucinating.)

    PROMPT
    How would you describe my work on the law to someone other than me?

    RESPONSE
    Certainly, when describing your work on the law to someone unfamiliar with it, I would emphasize the following aspects:

    1. Grounded in Natural Law:
    Curt Doolittle’s work in the field of law is deeply grounded in the principles of natural law. He seeks to develop a comprehensive understanding of human nature and society by integrating insights from various scientific fields, including physics, biology, psychology, and social science.

    2. Propertarianism:
    Doolittle is the founder of Propertarianism, a philosophy that extends the libertarian emphasis on property rights to encompass various forms of capital, including social, cultural, and intellectual capital. This philosophy aims to create a legal framework that protects all forms of property and promotes truthful and reciprocal relationships.

    3. Testimonialism:
    An integral part of his work is the development of the epistemological theory called “Testimonialism”. This theory emphasizes the importance of truthfulness in testimonies and statements, advocating for a rigorous method of verifying the truth through warranties and the elimination of error, bias, and deceit.

    4. Focus on Decidability:
    Doolittle’s work often explores the concept of decidability in legal contexts, proposing that disputes and decisions should be based on well-defined criteria, often grounded in property rights and contractual relationships. This approach aims to facilitate the resolution of disputes through clear and objective methods.

    5. Group Evolutionary Strategy:
    His approach to law also encompasses an analysis of group evolutionary strategies, examining how different groups organize and interact based on evolutionary principles. This includes a comparative analysis of different civilizations and their approaches to law, governance, and social organization.

    6. Performative Truth:
    Doolittle has developed the concept of performative truth, which emphasizes the verification of statements through actions and demonstrations, as opposed to mere verbal assertions. This concept seeks to foster a culture of accountability and truthfulness in legal and social discourse.

    7. Controversial and Bold:
    Doolittle’s work is known for its controversial nature, challenging established norms and theories in the field of law and social science. He is not afraid to present bold and iconoclastic viewpoints, fostering critical discussions and debates in the academic community.

    8. Comprehensive Approach:
    Overall, Doolittle’s work on the law represents a comprehensive approach to understanding legal systems and societal structures. His work integrates insights from various disciplines to offer a fresh perspective on the functioning of societies and the underlying principles governing human interactions.

    In Summary
    Curt Doolittle’s work on the law is characterized by its deep grounding in natural law principles, its innovative and controversial theories, and its comprehensive approach to analyzing legal systems and societal structures. It offers a rich and complex exploration of the law, grounded in a commitment to intellectual rigor and a pursuit of truth.


    Source date (UTC): 2023-09-17 23:59:42 UTC

    Original post: https://twitter.com/i/web/status/1703559385560010752

  • From my position as someone who has long experience with both, and survived the

    From my position as someone who has long experience with both, and survived the AI winters, the LLM community is quite short on an operational understanding of the brain, because, believe it or not, it’s quite simple, and the steps to create AGI are easily explicable.

    LLM’s are a brute force method of backwardly adapting what every previous generation of AI researchers tried to produced bottom up.

    The availability of such vast data on the internet, plus the invention of video cards and now custom AI boards and processors has achieved the top down means of evolving AGI without the predicted need for (cheaper, faster, more adaptive) hardware neuromorphic computing that corresponds to the structure of the brain with limited local memory within many tiny processors imitating neural micro columns each competing to produce coherence and a resulting world model, that would then use a language model to describe.

    But getting that set of steps necessary for LLMs to evolve out and in front of people, and providing sufficient explanation of cognition to do so, is impossible given the throng of information and the instant reward of constantly adapting these models through trial and error. 😉

    Reply addressees: @Josh_Ebner


    Source date (UTC): 2023-09-17 04:07:06 UTC

    Original post: https://twitter.com/i/web/status/1703259257301344257

    Replying to: https://twitter.com/i/web/status/1262433328533299200

  • Are Tech Sanctions Against China Working? (yes, but…) The new Chinese chip is

    Are Tech Sanctions Against China Working? (yes, but…)
    The new Chinese chip is produced with older 2017 tech, and they are trying to copy the dutch tech necessary for the next generation we use today.

    I’m not confident we can maintain this much of a lead for another decade, but just as we outlasted the soviets, and we are outlasting the russians in ukraine, we are trying to outlast the chinese before the natural consequences of their government, policy, absurd geostrategy, and demographics force either exacerbation of their return to totalitarian isolation in an effort to prevent europeanization (regional states), or more civil inclusion in to the commercial world order by assisting rather than undermining it. The chinese aren’t known for being terribly bright in this matter over their long history for reasons I might explain elsewhere – though no one has quite determined the cultural vs genetic vs institutional distribution of that causality.

    The problem China faces is they’re poor country but they have a huge population, have relatively low wages, suffering the middle income trap, but centralization gives the government extraordinary access to capital, and that govt will subsidize any R&D that promises to catch up to fulfill the CCPs delusions of grandeur. And they can throw that capital, and three orders of magnitude the number of engineers, scientists, and technical laborers at a problem and we simply can’t. And leading capitalist democracies maximizing employent, consumer spending, and luxury benefits will allways be vulnerable to authoritarian capitalist regimes (Fascist) that produce adversarial competition against otusiders in favor of hyperconsumption and luxury of citizens.

    While the chinese population is apparently vastly overstated, and while it’s collapsing at an alarming rate, there are still only 750k ethnic europeans with an average of 100iq against at least 1.2 billion chinese with a 4-5 IQ population advantage, and more docile genetics, and more aggressive parents, and far more disciplined education, that despite rampant cheating and corruption, produces an advantage over europeans in tech even though on a smaller scale per capita than the ashkenazi do in verbal skills.

    Hope this helps.

    Curt Doolittle
    The Natural Law Institute
    The Science of Cooperation

    Reply addressees: @DragonGamerWiki @hsu_steve @PeterZeihan @whatifalthist @balajis @pmarca @psychosort @2020Blackstone @MatthewParrott @RichardBSpencer


    Source date (UTC): 2023-09-15 16:10:42 UTC

    Original post: https://twitter.com/i/web/status/1702716581812355072

    Replying to: https://twitter.com/i/web/status/1701972624220262864

  • WHAT’S YOUR DEFINITION OF PHILOSOPHY? (Disambiguating philosophy, science, logic

    WHAT’S YOUR DEFINITION OF PHILOSOPHY?
    (Disambiguating philosophy, science, logic, and operations(computation).)

    Given The hierarchical evolution of paradigms:
    Embodiment > Prioprioception > Memory > Prediction > Imitation(body)-empathy(emotions)-sympathizing(mind) > language >…


    Source date (UTC): 2023-09-14 22:41:04 UTC

    Original post: https://twitter.com/i/web/status/1702452430011527245

    Replying to: https://twitter.com/i/web/status/1702445314672627833


    IN REPLY TO:

    Unknown author

    WHAT IS A FIRST PRINCIPLE?
    (law, axiom, first principle, etc)
    https://twitter.com/curtdoolittle/status/1699556964005470208

    Original post: https://x.com/i/web/status/1702445314672627833

  • WHAT’S YOUR DEFINITION OF PHILOSOPHY? (Disambiguating philosophy, science, logic

    WHAT’S YOUR DEFINITION OF PHILOSOPHY?
    (Disambiguating philosophy, science, logic, and operations(computation).)

    Given The hierarchical evolution of paradigms:
    Embodiment > Prioprioception > Memory > Prediction > Imitation(body)-empathy(emotions)-sympathizing(mind) > language > Antropomorphism > Mythology > Theology(religion) > Philosophy(literary vs analitic) > Natural Philosophy(Naturalism, data collection and comparative observation) > Empiricism(Geometry and Rational Philosophy) > Science(calculus,testimony) > Logic(Formal and Symbolic, sets, analysis) > Operations(Computation, first principles, laws).

    Evolutionary Cycle
    We discover each of these in sequence from top to bottom, and then reform them backward from bottom to top – at the end we should have a continuously evolving optimum possible prediction, mythology, religion, and philosophy – having solved the demarcation problem and completed the epistemic hierarchy.

    Roles
    We are confident that we have disambiguated Philosophy (justification, value preference, and choice) and Science (investigation, truth, reciprocity, and testimony) and have done so with the endpoint of all possible reasoning in Operationalism(falsification, possibility, computation). As far as we know we have completed the epistemic method.

    Series: Mythology(strategy) > Philosophy (reason) > Science (measurement) > Operation (construction)

    https://t.co/Pj3ju5epyX


    Source date (UTC): 2023-09-14 22:41:03 UTC

    Original post: https://twitter.com/i/web/status/1702452429852233728

  • Medical future and maybe brain extension for all of us

    Medical future and maybe brain extension for all of us. https://twitter.com/Scobleizer/status/1701766744476614878

  • The ability of LLMs to integrate disparate knowledge. –“The meta-story here is

    The ability of LLMs to integrate disparate knowledge.

    –“The meta-story here is that ChatGPT figured it out because it trivially *integrated knowledge* across domains which are currently siloed in medicine. No way to zoom out. Domain integration, synthesis, and induction from existing knowledge, on-tap, will transform many industries.”–gfodor.id on X

    https://t.co/MJl1jcxUVC

    Via @bierlingm


    Source date (UTC): 2023-09-12 06:27:55 UTC

    Original post: https://twitter.com/i/web/status/1701482755026976768

  • CONVERSATIONAL COMPUTING’S FUTURE I love how we’re mass producing research and d

    CONVERSATIONAL COMPUTING’S FUTURE
    I love how we’re mass producing research and development. And it’s at a scale and speed that we’ve never seen before even in the previous generations of computational innovation. I’ve lived through everything from teletypes to the present and worked through the previous AI winters. There is just nothing like this.

    One reason is that llms let us use our own language to teach these machines rather than machine language to teach us how to teach them. 😉 It’s a multiplier on previous code frameworks.

    But while LLMs are great a synthesis they are still sh** at analysis (cognitive wayfinding). We are already seeing good work in multiple predictions and adversarial competition between them. That’s great at reducing hallucination and is the first layer of falsification.

    But until we can discover a goal, then wayfind to it, we can’t do sufficient falsification to perform reasoning, protocols, logic, or math. It’s amazing what they’ve done with programming, But programming is a tiny world model compared to reality and it’s hierarchy of world models.

    Which means we need even more compute. 😉

    Reply addressees: @jasonyuandesign @jxnlco


    Source date (UTC): 2023-09-11 18:43:34 UTC

    Original post: https://twitter.com/i/web/status/1701305498882969600

    Replying to: https://twitter.com/i/web/status/1701274185513968076

  • RT @Yampeleg: Speculative decoding The trick that allows ChatGPT to generate tex

    RT @Yampeleg: Speculative decoding

    The trick that allows ChatGPT to generate text so fast.

    TL;DR:
    1. Generate some of steps with a small…


    Source date (UTC): 2023-09-11 18:03:19 UTC

    Original post: https://twitter.com/i/web/status/1701295369907245312

  • I have seen this prompt after repeatedly correcting it

    I have seen this prompt after repeatedly correcting it.


    Source date (UTC): 2023-09-10 03:05:03 UTC

    Original post: https://twitter.com/i/web/status/1700706927280337192

    Reply addressees: @Yampeleg

    Replying to: https://twitter.com/i/web/status/1700673031851438245