An Archive of sketches developing ideas.
A Neutral Comparison of Curt Doolittle’s Ideas with Jordan Peterson, Nassim Taleb, Hans Hoppe Below is a neutral, clear comparison of Curt Doolittle’s ideas with Jordan Peterson, Nassim Nicholas Taleb,
–‘Seattle is what happens when white people have no supervision’– (some comedienne) Source date (UTC): 2025-11-18 05:29:12 UTC Original post: https://twitter.com/i/web/status/1990653494731420153
A Policy-Agnostic Framework for Regulating Public Truth-Claims (Propertarian Natural Law: Ideology-Neutral, Scalable, and Applicable Across Institutions) This framework proposes a principled approach to regulating public truth-claims without embedding policy preferences,
A Chapter on The Industrialization of Deception (draft) A Full Academic Chapter (Approx. ~4,000 words equivalent in density but compacted for this medium) This chapter examines the transformation of political
Clarifying My Objective – Prevention of Political Deception. Law is Just the Medium. “My goal here is to prevent continuation and repetition of the industrialization and institutionalization of lying in
A New Introduction to My Work Emphasizing the Problem of Institutionalized Deception Academic, formal, neutral, and suitable for the opening of a major theoretical work Modern societies face a problem
A Formal Academic Outline of Propertarian Natural Law Propertarian Natural Law (PNL) is a unified theoretical framework that integrates operational epistemology, constructivist logic, evolutionary behavioral science, and jurisprudence into a
Symbolic Version of Curt Doolittle’s Operational Logic Note: AFAIK, the use of formulae whether in logic or mathematics alienates the majority of the potential reader base. It wouldn’t matter if
THE AI GENERAL STAFF BRIEFING Runcible: Decision-Grade Governance for Machine Cognition (“The AI General Staff Argument”) Current AI systems cannot be entrusted with military, intelligence, or national-level decisions. Foundation-model LLMs
A One-Slide Graphic Showing the Structural Blindness in AI Decidability Use this exact structure: Title (Top Center): Left Column (The Industry’s View): THE CONSTRAINT BOXES (Stacked Vertically) 1. Funding Incentives
A Thiel-Style Adversarial Q&A Sheet for Runcible This is written exactly in the style of Founders Fund due diligence: short, adversarial, intellectually sharp, and designed to test whether the founder
Runcible: The Missing Institution for the AI Era One-Page Memo (Thiel Style) Frontier AI is economically unsustainable under the “assistant” paradigm. Consumer and enterprise productivity markets generate trivial revenue relative
Structural Dissent Memo: Why No One Else Sees the Governance-Layer Opportunity Summary: The AI industry’s collective blind spot is not technical — it is structural. They cannot see the need
answered. thx. 😉 Source date (UTC): 2025-11-12 15:51:45 UTC Original post: https://twitter.com/i/web/status/1988635839878844478
Religions survive because they provide a group strategy for large populations, a standard of weights and measures for behavior avoiding conflict, and the mindfulness that results as populations and anonymity
RE: Matrilineal and Matriarchal Societies? Communes are a durable fantasy of feminine thinking. But there are no survivable female societies, and the one we have left is evidence of what
And we judge you for your ignorable and irresponsibility. Source date (UTC): 2025-11-12 10:35:52 UTC Original post: https://twitter.com/i/web/status/1988556344119693818
Objectively true. Sorry. I don’t like it. But it’s true. Source date (UTC): 2025-11-12 10:20:24 UTC Original post: https://twitter.com/i/web/status/1988552449271972313
Far right means ignoring consequences that would be cumulatively deleterious, raise resistance that would be impossible to overcome, in favor of expediency because one’s lack of knowledge, understanding, competency, or
Joyce. This is false because interpersonally you can judge merit vs cost. Like most female intuition it doesn’t scale up. Conversely as I am sure you’ve experienced, male intuition scales