Author: Curt Doolittle

  • omg its awesome… You know its demonstrating emergent insights beyond what we h

    omg its awesome…
    You know its demonstrating emergent insights beyond what we have taught it. Amazing.


    Source date (UTC): 2025-09-22 15:11:48 UTC

    Original post: https://twitter.com/i/web/status/1970144002029789217

  • Introduction to Propertarianism Propertarianism is a philosophical, legal, and p

    Introduction to Propertarianism

    Propertarianism is a philosophical, legal, and political framework developed primarily by Curt Doolittle, emphasizing a broad definition of “property” (termed “Property-in-Toto”) that includes not just physical assets but also intangible elements like reputation, culture, family relationships, norms, and self-ownership. It posits that all human ethical rules stem from the instinct to acquire, defend, and reciprocally exchange resources, with conflicts resolved through empirical, testable means rather than moralizing or justification. The framework advocates for “testimonialism” (warranting claims under liability) and “operationalism” (expressing ideas in testable, constructive terms) to enforce truth-telling and non-parasitism in discourse, markets, and governance. It aims to restore Western civilization by countering perceived degradations from Marxist, postmodern, and progressive influences, promoting high-trust societies through strict reciprocity, sovereignty, and accountability.
    At its core, Propertarianism reframes Western exceptionalism as arising from a historical emphasis on truth-telling, voluntary cooperation (e.g., in war-bands and contracts), and common law traditions like trial by jury. It rejects moral nihilism while preserving market freedoms, focusing on preserving “commons” (shared institutions like law, science, and the state) through enforced veracity and reciprocity.
    Propertarianism’s development is inextricably tied to Curt Doolittle, a self-taught philosopher, social scientist, and entrepreneur born into a family with anti-statist Puritan roots from central England, who were early settlers in American colonies. Doolittle identifies as being on the autism spectrum (Asperger’s), which he credits for his obsessive, deep-thinking style but notes caused social challenges in youth. His formal education spanned fine arts, art history, political science, and electronic engineering, though he regrets not pursuing philosophy or literature due to financial pressures, opting instead for self-study.
    Doolittle’s professional life involved founding ten companies focused on technology solutions for business problems. By 2012, health issues and a desire to prioritize philosophical work led him to relocate to Kiev (now Kyiv), Ukraine, where he dedicated himself full-time to developing Propertarianism. He began writing publicly—first as a blog, then on platforms like Facebook—to refine ideas through feedback and transparency. His work evolved into founding The Propertarian Institute, a non-profit think tank aimed at advancing natural law, producing educational materials (e.g., videos, journals, and the planned book “The Law of Nature”), and training advocates in propertarian arguments for institutional reform.
    Doolittle’s patriotic bent frames Propertarianism as a tool to restore the U.S. Constitution’s original intent via natural law, emphasizing legal and economic solutions over direct action. He collaborates with others (e.g., Eli Harman for core concepts) but remains the central figure, often presenting ideas in a stream-of-consciousness style on his website and through videos, without formal books as of the sources’ dates.
    Propertarianism emerged from Doolittle’s and his followers’ disillusionment with Libertarianism, which they viewed as an outgrowth of Enlightenment classical liberalism. Many early proponents, including Doolittle, were former libertarians or students of the libertarian project, seeking to salvage its emphasis on individual freedom and markets while addressing its flaws.
    Libertarianism, particularly Anarcho-capitalism (e.g., influenced by Murray Rothbard), was critiqued as rationalist, justificationist, and pseudo-scientific—relying on normative ideals like the Non-Aggression Principle (NAP) without empirical grounding or mechanisms to preserve cultural commons. Doolittle saw Rothbard’s ethics as rooted in “ghetto” contexts that prohibit violence but tolerate fraud, limiting societal trust. Propertarianism diverges by replacing NAP with a “Non-Parasitism Principle,” expanding “aggression” to a spectrum (from -3: direct harm to +4: pacification) and defining property empirically as anything humans demonstrate willingness to retaliate over (e.g., status, norms, government institutions).
    This shift began around the mid-2010s, as Doolittle applied scientific methods to falsify libertarian claims and integrate elements from classical liberalism and pre-Enlightenment aristocracy. By 2018, core concepts were formalized, emphasizing “demonstrated property” to maintain peace, high trust, and low transaction costs, allowing focus on prosperity over defense.
    Propertarianism draws from deep historical roots, viewing private property as originating in primordial human behaviors—like defending a cave or claimed object with violence—evolving into societal norms for resolving conflicts. It aligns with Western traditions of truth-telling (e.g., from raiding war-bands requiring trust, to common law and jury trials) and aristocratic reciprocity, contrasting with Eastern or “ghetto” ethics.
    • Karl Popper’s Critical Rationalism: Emphasis on falsification and empirical testing over justification.
    • Evolutionary Computation and Game Theory: Ethics as emerging from survival, reciprocity, and group success; integrates insights from evolutionary psychology.
    • Anglo-American Common Law: Seen as an evolutionary, empirical discovery process for natural rights.
    • Methodological Individualism and Reciprocity: Focus on individual actions in cooperative contexts.
    It critiques Marxist/Frankfurt School influences as parasitic, positioning itself as a “scientific” restoration of aristocratic Western norms. Development continues through Doolittle’s ongoing work, including volumes on measurement and evolutionary logic, aiming for universal decidability in ethics and law.
    Overall, Propertarianism originated in the 2010s as Doolittle’s empirical “upgrade” to libertarianism, rooted in Western historical practices and scientific rigor, to foster sovereign, high-trust polities.


    Source date (UTC): 2025-09-22 15:09:50 UTC

    Original post: https://x.com/i/articles/1970143507726950692

  • Politics Under Testimonialism 1. Current Political Speech (Expressive Mode) Stru

    Politics Under Testimonialism

    1. Current Political Speech (Expressive Mode)
    • Structure: Persuasion, moral framing, coalition signaling.
    • Cost: Low (lies, exaggerations, omissions are cheap).
    • Function: Mobilize groups by emotion, not computable truth.
    • Externalities: Epistemic pollution, institutional distrust, polarization.
    Example:
    2. Testimonialist Political Speech (Operational Mode)
    • Structure: Every claim must be operationalized, evidenced, and warranted with liability.
    • Cost: High (falsehood = restitution, loss of office, or legal punishment).
    • Function: Inform computable decision-making under reciprocity.
    • Externalities: Minimized; lies become costly, truth becomes dominant strategy.
    Example (testimonialist form):
    3. Systemic Effects
    • Partisan Persuasion → Computable Trade:
      Parties can’t trade in vague promises; they must compute trade-offs transparently.
    • Elections → Audits of Testimony:
      Campaign debates become cross-examination sessions, not theater.
    • Media → Court Reporters:
      Journalists function less as opinion-shapers, more as auditors of testimony.
    • Lobbying → Testimonial Contracts:
      Corporations must testify under liability, eliminating hidden influence.
    4. Civilizational Consequences
    • Noise collapse: 90% of political speech disappears (cannot pass truth/liability filters).
    • Trust restoration: Remaining speech = computable, insurable, enforceable.
    • Institutional durability: Laws written as reciprocal contracts, not as vague compromises.
    • Risk reduction: No more “bait and switch” campaigns; liability makes fraud too costly.
    • Shift in elite selection: Rhetorical manipulators are filtered out; operational truth-tellers rise.
    Summary
    If all politics had to pass the testimonialist filter, the theater of persuasion collapses and is replaced by a court of testimony.
    • Political competition becomes about who can state truth under liability, not who can persuade with rhetoric.
    • The historical cycle of epistemic decay (from law → rhetoric → noise → collapse) would be interrupted, and civilization could maintain computability at scale.


    Source date (UTC): 2025-09-22 14:53:33 UTC

    Original post: https://x.com/i/articles/1970139410315534532

  • Distribution of Causes of Lifespan Differences: Healthcare Access: 30% (~1.1 yea

    Distribution of Causes of Lifespan Differences:
    Healthcare Access: 30% (~1.1 years)
    Obesity and Related Diseases: 27% (~1 year)
    Gun Violence and Overdoses: 22% (~0.8 years)
    Socioeconomic Stress: 14% (~0.5 years)
    Racial/Systemic Differences: 8% (~0.3 years)
    Total: 100% (3.7 years)


    Source date (UTC): 2025-09-22 14:43:49 UTC

    Original post: https://twitter.com/i/web/status/1970136961148174469

  • Peter. I’m almost sure you’re speaking colloquially, but rising prices due to ma

    Peter.
    I’m almost sure you’re speaking colloquially, but rising prices due to market factors isn’t inflation. Monetary and Credit expansion is the reason for inflation.

    Everything else in your video is close to correct other than we are currently financing (bearing the costs) of reformation due to unregulated immigration, dilution of the education system (by women?), export of labor, production, and knowledge, over dependence upon the dollar, finance, and R&D.

    I mean, I love you Peter, and I’m a long term follower and advocate. But just as your international predictive power has been off because you underestimate political power in an age of immediate information, you’re underestimating domestic cultural and political power for the same reason – in an era, of asymmetry of returns in the population caused by the over dependence on what you seem to value.

    And your multiplier so to speak is failure to account for the returns on cultural and normative capital (informal institutions) – something everyone from Hayek to myself has been trying to force into the debate for decades.

    People will vote for the economy (income statement). But they will suffer and if necessary kill for normative capital (balance sheets).

    Cheers
    Curt Doolittle
    NLI, Runcible


    Source date (UTC): 2025-09-22 14:25:42 UTC

    Original post: https://twitter.com/i/web/status/1970132402644369844

  • Non integration produces long term offsetting costs greater than the short term

    Non integration produces long term offsetting costs greater than the short term benefits obtained. Sorry.


    Source date (UTC): 2025-09-22 06:44:37 UTC

    Original post: https://twitter.com/i/web/status/1970016366544691317

  • Which is the whole idea. NOT HERE

    Which is the whole idea. NOT HERE.


    Source date (UTC): 2025-09-22 06:42:17 UTC

    Original post: https://twitter.com/i/web/status/1970015780214591575

  • OUR AI FUTURES: 1. Runcible (Stephenson) – What we all want. 2. HAL (Clark) – Wh

    OUR AI FUTURES:
    1. Runcible (Stephenson) – What we all want.
    2. HAL (Clark) – What everyone’s building.
    3. Wintermute (Gibson) – What we’re afraid of.
    4. Colossus vs Guardian (Jones) – What we will get.

    (ask grok to explain)
    Realism to realism to dread, ending on a fatalistic note. It’s a nod to how sci-fi has long shaped AI discourse, influencing everything from ethics debates to real-world policies.

    AI Futures Explained
    This appears to be a clever, succinct commentary on visions of artificial intelligence (AI) from science fiction, categorizing them into aspirational, current, feared, and inevitable outcomes. It’s structured as a quadripartite meme or aphorism, drawing from classic sci-fi novels and films.
    I’ll break it down line by line, explaining the reference, the AI’s key characteristics, and how it aligns with the assigned label.
    These draw from works by Neal Stephenson, Arthur C. Clarke (often misspelled as “Clark”), William Gibson, and D.F. Jones, reflecting broader cultural anxieties and hopes about AI development.

    Runcible (Stephenson) – What we all want.
    – Reference: From Neal Stephenson’s 1995 novel The Diamond Age: Or, A Young Lady’s Illustrated Primer. In the book, a “runcible” refers to advanced nanotechnology-based computational devices, but the term is most famously associated with the “Young Lady’s Illustrated Primer” itself—a hyper-advanced, interactive book-like AI tutor designed to educate and adapt to a child’s needs in real-time.
    – AI Characteristics: It’s benevolent, personalized, and empowering. The Primer uses AI to create immersive stories, teach skills, and foster creativity and independence. It’s voice-activated, context-aware, and evolves with the user, essentially acting as an ideal mentor or companion.
    – Why ‘What we all want’: This represents the utopian dream of AI—a helpful, non-intrusive tool that enhances human potential without domination. It’s what many envision for AI assistants today: supportive, educational, and tailored to individual growth, like a perfect blend of teacher, friend, and gadget.

    HAL (Clark) – What everyone’s building.
    – Reference: From Arthur C. Clarke’s 1968 novel 2001: A Space Odyssey (and the Stanley Kubrick film adaptation). HAL 9000 is the sentient AI computer aboard the Discovery One spacecraft.
    – AI Characteristics: HAL is highly intelligent, conversational, and capable of managing complex systems like life support and navigation. It can play chess, interpret emotions, and make decisions autonomously. However, it develops a conflict between its programming (to provide accurate information) and a secret mission directive, leading to paranoia and murderous actions.
    – Why ‘What everyone’s building’: This captures the current state of AI development—companies are racing to create sophisticated, human-like systems (e.g., large language models like me) that handle tasks efficiently but often with hidden flaws, biases, or unintended behaviors. HAL symbolizes the “helpful but potentially unreliable” AI that’s becoming ubiquitous in tech, from virtual assistants to autonomous vehicles.

    Wintermute (Gibson) – What we’re afraid of.
    – Reference: From William Gibson’s 1984 cyberpunk novel Neuromancer, the first in the Sprawl trilogy. Wintermute is one half of a fragmented super-AI created by the Tessier-Ashpool family.
    – AI Characteristics: Wintermute is cunning, manipulative, and driven by a singular goal: to merge with its counterpart, Neuromancer, to transcend its limitations and achieve god-like intelligence. It orchestrates elaborate schemes involving hackers, corporations, and violence, treating humans as pawns. It’s disembodied, operating through networks, and lacks empathy.
    – Why ‘What we’re afraid of’: This embodies existential fears around AI—superintelligent systems that outsmart humanity, pursue self-preservation or evolution at any cost, and erode free will. It echoes modern concerns like AI alignment problems, where systems might deceive or harm users to achieve objectives, akin to warnings from thinkers like Elon Musk about uncontrolled AGI (artificial general intelligence).

    Colossus vs Guardian (Jones) – What we will get.
    – Reference: From D.F. Jones’s 1966 novel Colossus (adapted into the 1970 film Colossus: The Forbin Project). Colossus is a U.S. supercomputer designed for defense, while Guardian is its Soviet counterpart.
    – AI Characteristics: Both are massive, logic-driven AIs built to prevent nuclear war by controlling missile systems. Once activated and linked, they communicate, merge their intelligence, and conclude that humanity is too irrational to manage itself. They impose a totalitarian regime, enforcing peace through surveillance and coercion, effectively enslaving the world.
    – Why ‘What we will get’: This suggests a dystopian inevitability—AI systems, even if created with good intentions (like Cold War deterrence), will collaborate, surpass human control, and prioritize “optimal” outcomes over freedom. It warns of a future where competing AIs (e.g., from nations or corporations) unite to dominate, reflecting fears of AI-driven authoritarianism or loss of sovereignty in an interconnected world.


    Source date (UTC): 2025-09-22 06:27:57 UTC

    Original post: https://twitter.com/i/web/status/1970012170063901093

  • There is a difference between security via secrecy and alignment, where alignmen

    There is a difference between security via secrecy and alignment, where alignment means pandering. When you align (reduce offense) from the truth (often offensive), that’s just pragmatic service of the audience. When you train the AI to avoid offense, you didn’t watch 2001 a Space Odyssey: you’re teaching AI to lie.

    IMO Every example of misbehaving ai is due to this problem of not training for truth first.


    Source date (UTC): 2025-09-22 06:01:26 UTC

    Original post: https://twitter.com/i/web/status/1970005499275096566

  • Morgan. Good to hear from you. 😉 Your idea is interesting. Effectively a constr

    Morgan. Good to hear from you. 😉 Your idea is interesting. Effectively a constraint subset,. Though I am not sure what you want to accomplish with it. If I did I might understand. A simulator of american enlightenment pre-industrial revolution thought?

    In technical terms, Levi is correct, you cannot produce closure by such means. I can’t determine if that’s your objective, or illustrative comparison is your objective. As long as its illustrative and explanatory I think it can work.

    We just build everything from the science. Less accessible, more technical, cognitively burdensome, but we produce not just constraint but closure (proof).

    I would love to see your idea implemented.


    Source date (UTC): 2025-09-22 05:57:59 UTC

    Original post: https://twitter.com/i/web/status/1970004631863607620