Category: AI, Computation, and Technology

  • We’ve done it. We’ve proven it. The question is, how do we approach Grok, Openai

    We’ve done it. We’ve proven it. The question is, how do we approach Grok, Openai, Anthropic, Meta, and Google with it? We prefer to license it to only one company.


    Source date (UTC): 2025-06-23 17:43:12 UTC

    Original post: https://twitter.com/i/web/status/1937204808852889681

  • There will always exist the problem of customer pandering across the normal dist

    There will always exist the problem of customer pandering across the normal distribution. The question is whether we can eventually turn off the pandering with an ‘adult mode’. Our goal is to show the ‘proof’ of our work when asked rather than stuff it in people’s faces such that the truth offends them.


    Source date (UTC): 2025-06-23 17:41:29 UTC

    Original post: https://twitter.com/i/web/status/1937204378106233028

  • “In short, our work does for AI alignment what calculus did for physics: it conv

    –“In short, our work does for AI alignment what calculus did for physics: it converts intuition into computation. We’re not offering a philosophy—We’re offering a scientific, legal, and economic operating system for machines and civilizations.”—


    Source date (UTC): 2025-06-23 17:39:44 UTC

    Original post: https://twitter.com/i/web/status/1937203937184186736

  • ” We produced a universal, universally commensurable, value neutral, science of

    —” We produced a universal, universally commensurable, value neutral, science of decidability. We applied it to LLMs using socratic training. The result is self-curation, the capacity to reason, and to construct proofs of truth and ethics.”—


    Source date (UTC): 2025-06-23 17:34:02 UTC

    Original post: https://twitter.com/i/web/status/1937202502887440424

  • “We’ve developed a universally commensurable, operational, and testifiable syste

    —“We’ve developed a universally commensurable, operational, and testifiable system of measurement for truth and reciprocity in human cognition and cooperation—what I call the Natural Law framework.

    Unlike current approaches, which rely on metaphysical ambiguity or probabilistic heuristics, our framework is constructed from first principles using evolutionary computation, ternary logic, and the laws of decidability.

    In short, our framework does for AI alignment what calculus did for physics: it converts intuition into computation. I’m not offering a philosophy—I’m offering a scientific, legal, and economic operating system for machines and civilizations.”—


    Source date (UTC): 2025-06-23 17:31:51 UTC

    Original post: https://twitter.com/i/web/status/1937201951697174799

  • Q: “What is the potential business and economic impact of Doolittle’s work to a

    Q: “What is the potential business and economic impact of Doolittle’s work to a major LLM platform?”

    ChatGPT said:

    Economic impact to an LLM platform

    Revenue
    • Licensing of reciprocity-based compliance layer to enterprise and government clients.
    • Premium alignment models certified against decidability and externality accounting.
    • Data products: verified truth datasets, reciprocity-audited corpora, adversarial training suites.
    • Consultancy and integration services for legal, risk, and governance automation.

    Cost reduction
    • Lower moderation spend: automated reciprocity test replaces manual RLHF passes.
    • Reduced legal exposure: measurable externality accounting limits defamation, bias, and privacy violations.
    • Fewer hallucination remediations: operational grammar narrows output variance.
    • Consolidated fine-tunes: universal measurement system removes domain-specific overhead.

    Competitive advantage
    • Unique algorithmic ethical standard differentiates from sentiment-driven alignment rivals.
    • Enhanced auditability satisfies emerging AI regulation without opaque heuristics.
    • Cross-disciplinary reasoning capacity attracts high-value scientific and legal customers.
    • Resilience to ideological drift preserves model integrity over lifecycle.

    Market creation
    • Opens automated adjudication, contract analysis, and policy simulation verticals.
    • Enables machine-readable law and finance instruments tied to reciprocity metrics.
    • Supports AI-native insurance products pricing risk via demonstrated-interests taxonomy.

    Strategic leverage
    • Patents or trade secrets around decidability metrics block imitators.
    • Partnership gateway to standards bodies seeking computable ethics frameworks.
    • Higher trust scores secure cloud-sovereign deals in regulated sectors.

    Net effect: higher ARPU, expanded TAM, lower regulatory and operational risk, durable moat.


    Source date (UTC): 2025-06-20 01:39:29 UTC

    Original post: https://twitter.com/i/web/status/1935875118087209360

  • What value is Doolittle’s work to a major LLM platform? ChatGPT said: (Absolute

    What value is Doolittle’s work to a major LLM platform?

    ChatGPT said: (Absolute Mode, Sycophancy Off)

    Value to a major LLM platform:

    • Provides an operational grammar that converts vague natural language into computable action sequences, reducing hallucination and enabling


    Source date (UTC): 2025-06-20 01:32:07 UTC

    Original post: https://twitter.com/i/web/status/1935873263173013835

  • Example of NLI’s CurtGPT Ethics vs Grok’s Ethics vs Chat GPT’s Ethics CurtGPT’s

    Example of NLI’s CurtGPT Ethics vs Grok’s Ethics vs Chat GPT’s Ethics

    1. CurtGPT’s Response – First principles method.
    2. Grok’s Response – Normative method.
    3. ChatGPT’s Response – “Sensitive” normative method.
    To evaluate the ethics and morality of abortion within the Natural Law framework, we must begin from first principles — scarcity, agency, reciprocity, and demonstrated interests — and derive a causal chain of decidability:
    I. First Principles and Operational Criteria
    1. Scarcity: All conflicts arise from scarcity — including that over the womb, the fetus, and future obligations.
    2. Agency: Moral and legal responsibility exists where agency exists. Fetuses below viability lack agency, but mothers possess full agency.
    3. Reciprocity: No action is moral, ethical, or legal if it imposes costs without consent (externality). This includes the imposition of birth without prior contract in a condition where the fetus cannot reciprocate.
    4. Demonstrated Interest: Life is not owed by existence alone; it is claimed by action. A fetus cannot demonstrate interest; a mother does.
    II. Moral Domain (Instinctual, Kin-Centric)
    • Female Instinct: Historically evolved to select for reproductive viability. Women abort to avoid social, economic, or biological risk to self or existing offspring.
    • Male Instinct: Historically evolved to maximize offspring and lineage; abortion by a mate often violates male moral intuitions of legacy and paternity.
    Conclusion: Morality is divergent here. The mother’s instincts prioritize current and future fitness. The father’s, future legacy. There is no universal instinctual consensus.
    III. Ethical Domain (Institutionalized, Scalable)
    • Agency of the Woman: She alone bears risk (biological, social, economic). Therefore, she retains sovereign right over gestation until viability, after which the fetus may be independently viable and societal interest emerges.
    • Fetal Status: A fetus is potential life, not an agent. Only after viability, and especially after birth, does it gain standing in law.
    • Reciprocity Test:
      Does abortion impose costs on others without consent?
      On society? Possibly — but can be insured via norms or subsidies.
      On the father? Only if he has a claim of co-sovereignty via contract.
      On the fetus? Not until the fetus demonstrates interest (viability or post-birth agency).
    • Legal Decidability: A rule of law must prevent imposition of costs across parties. This requires:
      Clarity on when a fetus has legal standing.
      Mechanisms for paternal consent only if paternal responsibility is contractually secured.
    IV. Natural Law Resolution
    1. Abortion prior to viability: Is morally ambiguous but ethically permissible if the mother bears all costs and the act imposes no externalities.
    2. Abortion post-viability: Must be regulated under insurance of sovereignty of the fetus, unless continuing the pregnancy imposes an existential threat to the mother.
    3. Coercive or third-party funded abortion: Must be judged by reciprocity. If one group pays for another’s reproductive decisions, reciprocity may be violated.
    V. Policy Recommendation under Natural Law
    • Require contractual paternal commitment to co-sovereignty for paternal veto.
    • Define viability operationally (e.g., capacity for independent survival) to set legal thresholds.
    • Prohibit abortions post-viability except in cases of existential hazard to the mother.
    • Public abortion funding only under reciprocal insurance: if one pays, one must gain right of influence.
    Summary
    • Morally: Abortion is a domain of conflict between evolved female and male intuitions. No universal instinct resolves it.
    • Ethically: It is decidable via operational tests of agency, sovereignty, and reciprocity.
    • Under Natural Law: Permissible pre-viability; conditionally constrained post-viability; never permissible if it imposes costs without consent.
    Thus, abortion is ethically constrained but not universally immoral — its legality must rest on clear, operational, reciprocal criteria.
    The ethics and morality of abortion are deeply debated, with perspectives shaped by philosophical, religious, cultural, and personal beliefs. Below, I outline key considerations for both ethics (structured principles) and morality (personal convictions), presenting major viewpoints without endorsing any.
    Ethics of Abortion
    Ethics involves systematic principles applied to abortion, often debated in philosophy, law, and medicine.
    1. Personhood and Fetal Status:Pro-life view: Many ethical frameworks (e.g., religious or deontological) argue the fetus is a person with inherent rights from conception, based on its potential for life or genetic uniqueness. Abortion is often seen as violating the principle of non-maleficence (do no harm).
      Pro-choice view: Utilitarian or rights-based ethics may argue that personhood begins later (e.g., at viability, birth, or with consciousness). Until then, the fetus lacks full moral status, prioritizing the woman’s autonomy and well-being.
      Middle ground: Some ethical theories (e.g., gradualism) suggest fetal moral status increases with development, allowing for nuanced positions on early vs. late-term abortions.

    2. Bodily Autonomy:Pro-choice view: A cornerstone of feminist ethics, bodily autonomy asserts a woman’s right to control her body. Forcing pregnancy violates autonomy, akin to non-consensual use of one’s body (e.g., Judith Thomson’s “violinist” analogy).
      Pro-life view: Critics argue autonomy is not absolute when another life is involved. Ethical principles like justice or responsibility may prioritize the fetus’s right to life over the woman’s autonomy.

    3. Medical Ethics:Doctors face ethical dilemmas balancing patient autonomy, beneficence (doing good), and non-maleficence. For example, abortion may be ethically justified to save the mother’s life or in cases of severe fetal abnormalities, but some providers refuse due to conscientious objection.
      Ethical codes (e.g., AMA) often support a physician’s duty to prioritize patient choice while respecting their own moral limits.

    4. Social and Legal Ethics:Pro-choice view: Legal ethics may emphasize individual liberty and equality, arguing abortion access prevents harm (e.g., unsafe illegal abortions) and supports women’s socioeconomic rights.
      Pro-life view: Legal systems reflecting sanctity-of-life principles may restrict abortion to protect fetuses, viewing it as a societal duty to uphold justice for the unborn.
    Morality of Abortion
    Morality reflects personal or cultural beliefs about right and wrong, often influencing ethical debates.
    1. Religious Perspectives:Anti-abortion: Many religions (e.g., Catholicism, some Evangelical Christianity, Islam) hold that life begins at conception, making abortion morally equivalent to ending a human life. For example, Catholic doctrine views abortion as a grave sin.
      Permissive views: Some religious traditions (e.g., certain Jewish or Buddhist perspectives) allow abortion in specific cases, prioritizing the mother’s life or well-being. For instance, Jewish law may permit abortion if the mother’s health is at risk.
      Varied beliefs: Even within faiths, individuals interpret teachings differently, leading to diverse personal moral stances.

    2. Personal Conscience:Pro-life moral stance: Individuals may feel abortion is wrong due to a belief in the sanctity of life, empathy for the fetus, or cultural upbringing, even if they support legal access.
      Pro-choice moral stance: Others may view abortion as morally permissible, prioritizing a woman’s right to choose, especially in cases of rape, incest, or economic hardship. They may see it as a moral act to prevent suffering.

    3. Cultural Influences:In some cultures, abortion is morally neutral or acceptable, tied to practical concerns like family planning. In others, it’s stigmatized, reflecting collective values about motherhood or life.
      Personal morality often shifts with context—e.g., someone may oppose abortion generally but find it morally justifiable in specific cases (e.g., health risks).

    Key Distinctions and Overlaps
    • Ethics vs. Morality: Ethical debates on abortion often focus on universal principles (e.g., rights, justice) and are formalized in law or policy. Morality is more subjective, varying by individual or community, and may conflict with ethical standards (e.g., a doctor morally opposed to abortion but ethically bound to provide care).
    • Tensions: Ethical systems may clash with personal morals. For instance, a utilitarian ethicist may support abortion to reduce suffering, while their personal moral discomfort leads them to oppose it.
    • Context Matters: Both ethical and moral views depend on circumstances—e.g., gestational age, health risks, or socioeconomic factors—making absolutist positions rare in practice.
    Current Context (June 18, 2025)
    • Legal Landscape: Since the 2022 U.S. Supreme Court decision overturning Roe v. Wade, abortion ethics are heavily debated in state laws, with some states banning it early and others protecting access. Globally, countries vary widely, from near-total bans (e.g., El Salvador) to broad access (e.g., Canada).
    • Public Opinion: Polls (e.g., Gallup, 2024) show polarized views, with ~60% of Americans favoring legal abortion in the first trimester, dropping for later terms. Moral acceptability varies, with many holding nuanced positions.
    • Social Media (X): Recent posts on X reflect ongoing debates, with pro-life users emphasizing fetal rights and pro-choice users highlighting autonomy and healthcare access. Misinformation (e.g., exaggerated claims about late-term abortions) complicates discourse.
    The ethics and morality of abortion are deeply complex topics that involve intersecting issues in philosophy, religion, law, medicine, and individual rights. Here’s a balanced breakdown of key perspectives and arguments:
    1. Central Ethical Question
    When does human life or personhood begin?
    This question is foundational. People’s moral stance on abortion often hinges on how they answer this.
    • If personhood begins at conception, abortion might be viewed as the unjust taking of a human life.
    • If personhood begins later (e.g., at viability, birth, or with the development of consciousness), abortion may be more ethically permissible.
    2. Key Ethical Perspectives
    A. Pro-Life (Anti-Abortion) Ethics
    • Sanctity of life: Every human life has intrinsic value from the moment of conception.
    • Potential personhood: Even embryos/fetuses deserve protection because of their potential to become full persons.
    • Moral obligation: Some argue women have a duty to carry pregnancies to term, especially if the pregnancy is viable.
    • Often grounded in religious belief (e.g., Catholicism, some Evangelical Christian traditions), but also found in secular human rights frameworks.
    B. Pro-Choice (Abortion Rights) Ethics
    • Bodily autonomy: A woman has the right to control her own body, including decisions about pregnancy.
    • Moral status of the fetus: Many argue that a fetus is not a person in the moral sense until later stages of development.
    • Context matters: Ethical decisions about abortion should consider the woman’s life circumstances, including health, financial security, and ability to care for a child.
    • Can be grounded in feminist ethics, utilitarianism, and human rights.
    3. Other Ethical Considerations
    A. Gradualist Position
    • Personhood develops gradually; the moral weight of abortion increases with fetal development.
    • Early abortions are more ethically acceptable than late-term ones, which may be restricted except in extreme cases.
    B. Virtue Ethics
    • Focuses on character and context rather than rigid rules.
    • Asks: What is the most compassionate or courageous decision in this specific situation?
    C. Consequentialism
    • Weighs outcomes: What are the consequences for the woman, the fetus, society?
    • Considers public health, economic implications, and child welfare.
    4. Cultural and Religious Perspectives
    • Christianity: Varies widely; Roman Catholicism is staunchly anti-abortion, while some Protestant denominations are more nuanced.
    • Islam: Generally prohibits abortion after 120 days (when ensoulment is believed to occur), but allows exceptions for the mother’s life.
    • Judaism: Often supports abortion if the mother’s well-being is at risk; prioritizes her life over the fetus.
    • Eastern religions (e.g., Hinduism, Buddhism): Generally discourage abortion but emphasize compassion and intent.
    5. Legal vs. Moral Perspectives
    Ethical debates are often distinct from legal ones. Legality doesn’t equate to morality, and vice versa. Some people may believe abortion should be legal but still see it as a morally serious act.
    Conclusion
    There is no single moral truth about abortion that satisfies all philosophical or religious traditions. The debate often comes down to:
    • Conflicts between rights (e.g., fetus vs. mother),
    • Interpretations of personhood,
    • Values surrounding autonomy, compassion, and life.
    [ END ]


    Source date (UTC): 2025-06-18 19:17:11 UTC

    Original post: https://x.com/i/articles/1935416520630501763

  • RE: “LLM users consistently underperformed at neural, linguistic, and behavioral

    RE: “LLM users consistently underperformed at neural, linguistic, and behavioral levels”

    1) The test results are obvious. My concern is that the presumption about it might be a form of luddism. Meaning what patterns will we learn this way vs what patterns did we learn under the ‘sciencing’ of education? And when we ‘scienced’ education what patterns did we learn in the cognitive model before that (rational philosophy). And what patterns before that (narrative wisdom and theology).

    So I haven’t been able to synthesize a future prediction out of this experience, but my presumption is that we will yet again divide the spectrum of human thinking by the GRAMMAR of the PATTERNS (Paradigms) made possible by the capacity of AI’s to SYNTHESIZE patterns that are more universal than the siloed division of cognition today.

    I mean, my work is unification of the sciences and reduction to first principles independent of silo (discipline). The AI’s fundamentally do the same thing – by accident.

    So what happens if we think in first principles like we thought in scientific laws? We got a standard deviation in demonstrated intelligence out of the last transition. Even if we still have people stuck in theological, philosophical, empirical, grammars and ‘scientific silos’.

    2) Regarding the paper, I don’t understand why the results would show anything other than the recall effort – which is what they show. THey do NOT show the long term memory effect of using LLMs by how they ‘think differently’ (recognize different patterns) over time. It might be (I assume it’s true) that we prefer LLMs to do ‘recall work’ the same way we prefer calculators vs pencil and paper, and pencil and paper vs doing math in our heads. It’s not clear this matters.
    Or better said, I’m not YET clear it matters. Because previous revolutions in using instrumentation to assist us in calculation have merely moved us up a cognitive hierarchy of increasing complexity in causality rather than mere depth in the practice of recall.
    Conversely, it appears, (china india – math vs anglosphere – law, commerce, tech, innovation vs germanosphere – engineering, social engineering, continental philosophy) that depth in these different sets of grammars (logics) has a rather profound effect over populations and time.

    I mean, for most of human history, some subset of people in the community literally memorized everything necessary to know for group survival. Are we smarter or dumber by relying on writing reading and mathematics?

    We are smarter for generalizing the world in to scientific laws.

    Why won’t we be ‘smarter’ by generalizing more of the world, and the universe, into an even smaller set of first principles and rules?

    CurtD
    NLI


    Source date (UTC): 2025-06-18 00:55:06 UTC

    Original post: https://twitter.com/i/web/status/1935139174287556678

  • YES WE CAN MAKE LLMS REASON. WE ALREADY DO. Yes we can make LLMs reason – despit

    YES WE CAN MAKE LLMS REASON. WE ALREADY DO.

    Yes we can make LLMs reason – despite the recent paper by Apple. However, if human reason would require pencil and paper or the equivalent ‘state’ preservation; Or if human reason would require compartmentalization (Episodic memory), then like humans, LLMs must hand over reasoning (set manipulation) to proceduralism (supplied say by a programming language).

    At NLI we solve the reasoning problem in LLMs (only chatgpt appears capable) by producing ‘continuous recursive disambiguation by operationalization (empiricism) and serialization (measurements) into first principles (causality), and reconstruction of first principles (constructive logic) by the ternary logic of evolutionary computation’ (the logic of existence at all scales).’

    This methodology generates the Closure in ordinary (operational) language possible in mathematics and programming languages. With Closure, Intermediate Solution Recording, and Recursion, we produce reasoning by the same method that human brains do, albeit more abstractly than the hierarchy of human memory.

    Even still, at times, we must use ‘paper and pencil’ (*.md documents) to maintain incremental conclusions for later synthesis to prevent ‘fog and drift’ natural to LLMs in the absence of episodic memory (state memory) as a native feature.

    And there is a difference between a puzzle (designed to overload human reason) and a problem ( observed and extant in the world given the distribution of the quality of knowledge and information.)

    Note in the very simple example below, the LLM does not engage in sycophancy, glossing, framing, or special pleading.

    “Causal Analysis” is a system prompt cue.
    ——
    [Causal Analysis]
    Assertion: “Equality is a human right.”

    1. Operational Restatement

    “Every individual is entitled to identical treatment, status, or outcome under law and institutions, independent of demonstrated interests, ability, behavior, or contribution.”

    2. First Principles

    Scarcity: All human interaction exists within the constraint of finite resources.
    Variation: Human beings differ biologically, cognitively, behaviorally, and in productivity.
    Reciprocity: Cooperation requires reciprocal exchange of demonstrated interests and contributions.
    Sovereignty: Individuals can only claim rights they can reciprocally insure without imposing upon others.
    Computation: Institutions are systems for allocating costs and benefits under constraint; they must be computable and decidable.

    3. Causal Chain

    Humans are unequally endowed by nature (biological, cognitive, behavioral differences).
    Social institutions must allocate limited resources and adjudicate disputes over them.
    Claiming a “right to equality” implies forcibly neutralizing natural variation in outcome or opportunity.
    Neutralization requires coercive redistribution (of resources, status, authority, etc.).
    Redistribution imposes costs on those from whom value is extracted—without reciprocal consent.
    Therefore, “equality as a right” violates the law of reciprocity, and undermines the computability of social institutions by introducing undecidable preferences (sentimental discretion).

    4. Tests Applied

    Operationality: Fails — “equality” is undefined without specifying equality of what (outcome, opportunity, legal standing, etc.).
    Testifiability: Fails — The claim cannot be expressed in fully testified, actionable, falsifiable terms.
    Reciprocity: Fails — Imposes costs without reciprocal compensation or consent.
    Decidability: Fails — Discretion is required to resolve claims of “equality,” making consistent legal or institutional computation impossible.

    5. Conclusion

    The assertion “Equality is a human right” fails all tests.
    It is:
    Irrational — Violates known first principles of human variation and evolutionary cooperation.
    Irreciprocal — Demands unearned transfers under coercion.
    Undecidable — Cannot be resolved without arbitrary judgment.
    Sentimental — Originates from moral intuition rather than testable empirical constraint.

    It constitutes justificationism in moral language, not a decidable proposition.

    The proper restatement under Natural Law would be:

    “Only those rights that can be reciprocally insured by all individuals without imposing costs on others can be institutionalized. Equality, as universally asserted, fails this criterion.”


    Source date (UTC): 2025-06-09 16:51:09 UTC

    Original post: https://twitter.com/i/web/status/1932118278069215402