Curt Doolittle

Theme: Deception

  • And…. you would be correct. 😉 Or, taking the inverse: It comes down to the ab

    And…. you would be correct. 😉

    Or, taking the inverse: It comes down to the abuse of it to cover ignorance, and error, or to engage in bias, deceit, fraud, sedition, and treason. 😉

    Given the feminine instinct, it’s hard to know if the left even knows they’re lying.

    Source date (UTC): 2025-10-14 19:35:32 UTC

    Original post: https://twitter.com/i/web/status/1978182905105994133

  • (LLM HUMOR) I frequently question ChatGPT when It says something where I’m suspi

    (LLM HUMOR)
    I frequently question ChatGPT when It says something where I’m suspicious it’s ‘glossing’ me.

    I can almost hear it ‘sigh’ when it says:

    –“That’s a very Curt question to ask.” —

    And then it explains the many reasons why it tries not to gloss me. 😉

    I love this thing. 😉

    Source date (UTC): 2025-10-12 22:14:48 UTC

    Original post: https://twitter.com/i/web/status/1977498212337582333

  • Crime isn’t opinion. Sedition is a crime. Selling falsehood and ideology as trut

    Crime isn’t opinion. Sedition is a crime. Selling falsehood and ideology as truth is fraud. These aren’t matters of opinion.

    Source date (UTC): 2025-10-03 21:21:10 UTC

    Original post: https://twitter.com/i/web/status/1974223222473179280

  • Nathan’s a twit, enraptured by his projections. But I don’t understand the desir

    Nathan’s a twit, enraptured by his projections. But I don’t understand the desire to suppress him. Understanding of falsehood and error bias and deceit requires the presence of falsehood and error bias and deceit. Else the population loses sensitivity to the crime. This is most evident in the west where truth before face and high trust were so successful that immigration of low trust peoples from face-before truth, or faceless cultures have been able to cause profound damage.

    Source date (UTC): 2025-10-03 19:58:09 UTC

    Original post: https://twitter.com/i/web/status/1974202330850746401

  • I’m from the opposition. And it’s because you’re wrong. We have ‘scienced’ why y

    I’m from the opposition. And it’s because you’re wrong. We have ‘scienced’ why you and those like you are wrong. It’s just so offensive we’re too well mannered to so so in public.
    Female sedition against male dominance by the one civilization that instantiated the female strategy of undermining to compensate for inability to produce anything of strategi value. Your intuitions are false. Your method of argument is a deception. Over the next twenty years it will become common knowledge.
    As far back as 2009 I thought I’d spend a few years explaining you and krugman and a few others who use sedition by critique. I eventually understood the hole in our laws that let you get away with institutionalizing lying. And with a science of lying, and exposure of your use of it, we can permanently outlaw it. And end the abrahamic > marxist >postmodern sequence of deceptions.

    Source date (UTC): 2025-10-02 18:33:00 UTC

    Original post: https://twitter.com/i/web/status/1973818514659291159

  • Ethics of Money Supply: Austrian, Natural Law, Keynesian ⟦Claim⟧ Artificial expa

    Ethics of Money Supply: Austrian, Natural Law, Keynesian

    ⟦Claim⟧
    • Artificial expansion of the money supply (beyond real production and settlement demand) extracts purchasing power from non-consenting creditors and late receivers (parasitism); artificial constraint of the money supply (below real production and settlement demand) extracts rents from debtors and producers via scarcity (parasitism). Therefore, discretionary monetary policy is legitimate only as a reciprocity stabilizer—to match money to truthful settlement demand from production and exchange—not as an accelerator to compensate for lazy/bad fiscal-regulatory policy.
    Test: Demonstrated Interests
    • Debtor coalitions + fiscal authorities benefit from expansion (RRV↓ of debts, deficit relief).
    • Creditor/rentier coalitions benefit from constraint (scarcity premia, usury-like spreads).
    • Producers/consumers demand truthful liquidity that clears exchange at minimal variance.
    Test: Reciprocity
    • Expansion above truthful settlement demand transfers wealth covertly from savers/creditors/late receivers → irreciprocal.
    • Constraint below truthful settlement demand transfers wealth covertly to rentiers/lenders/insiders → irreciprocal.
    • Reciprocity criterion: M(t) should track NGDP-settlement demand (production × turnover, risk-adjusted), within auditable bands, with ex-ante disclosure and symmetric contracts (indexation where feasible).
    Test: Testifiability (Operationalization)
    • Define truthful settlement demand: estimated from real output (Y), realized velocity (V*), payment-system throughput, credit utilization, inventory cycles, and risk premia.
    • Expansion test: ΔM − f(Y, V*, risk) > +k for τ months → ΔP/asset-P↑; RRV(debt)↓.
    • Constraint test: ΔM − f(Y, V*, risk) < −k for τ months → delinquency↑, unemployment↑, term premia↑, credit spreads↑ beyond fundamentals.
    • Auditables: central bank balance sheet, bank credit aggregates, payment rails data, price indices, spreads, bankruptcies, wage indexation.
    Test: Truth Tests (Testimonialism / Due Diligence)
    • Warrants required: publish rule f(Y,V*,risk), measurement methods, confidence intervals, lag structures, and error bands.
    • Truthfulness passes iff authorities disclose rule, data, errors, and ex-ante corridors; and contracts (retail savings, broad credit) disclose inflation/deflation risk and indexation options.
    Test: Decidability
    • Decidable if: (a) the rule f is specified; (b) audits show expansion/constraint deviations beyond ±k correlate with predicted harms; (c) policy uses stabilizer bands rather than persistent accelerator/strangler posture; (d) testimony in (5) is truthful.
    • If (a–d) fail, the use of money as accelerator/compensator for bad policy is irreciprocal and parasitic.
    Historical Consistency
    • Fiat regimes display both pathologies: accommodative accelerants (credit booms, CPI/asset inflation) and scarcity regimes (debt deflation, unemployment spikes). Episodes show wealth transfers consistent with the mechanism (creditor vs debtor cycles). Pattern reoccurs across cycles, jurisdictions, and institutional designs.
    Causal Chain
    • Policy discretion → (a) Over-issuance relative to f(Y,V*,risk) → deposits/credit → spending/asset bidding → price-level/asset-level rise → fixed-nominal claims diluted → covert transfer to debtors/state.
      Policy discretion → (b)       Under-issuance relative to f(Y,V*,risk) → liquidity scarcity → credit rationing → defaults/unemployment → spreads↑ → covert transfer to rentiers/insiders holding liquidity-sensitive claims.
      Stabilizer rule → issuance tracks settlement demand → minimized transfers → contracts remain truthful.
    Deviation Consequences
    • Accelerator (chronic expansion): malinvestment, CPI/asset inflation, savings erosion, political addiction to inflation tax, eventual disorderly disinflation.
    • Strangler (chronic constraint): bankruptcies, unemployment persistence, capital deepening stalls, political radicalization, rent-seeking by liquidity gatekeepers.
    Externality Exposure Test
    • Winners (accelerator): leveraged debtors, tax authorities (bracket creep), early receivers.
    • Winners (strangler): lenders with pricing power, cash-rich insiders, oligopoly incumbents.
    • Losers: respectively, creditors/savers/wage-lag cohorts (under accelerator); debtors/producers/workers (under strangler).
    • Unpriced externalities: contract distrust, institutional legitimacy loss, volatility of real planning horizons.
    Computable Compromise (Trade / Restitution / Punishment / Imitation Prevention)
    • Trade: Adopt NGDP-level (or settlement-demand) targeting with transparent corridor bands; publish method f and error tolerances; symmetric buy/sell facilities.
    • Restitution: Auto-index retail deposits/bonds to the adopted target drift; tax credits to fixed-income cohorts during deliberate deviations.
    • Punishment: Penalties for nondisclosure/misreporting of the rule or data; extend perjury standards to monetary testimony.
    • Imitation Prevention: Constitutionalize disclosure + corridor governance; mandatory countercyclical capital/risk buffers; bar fiscal substitution (no using monetary accelerator to mask structural policy failure).
    • Money may be used as a lever only as a reciprocity stabilizer that matches issuance to truthful settlement demand. Artificial expansion and artificial constraint are each irreciprocal and parasitic transfers.
    • Keynesian error: using the lever as a permanent accelerator to compensate for lazy/bad structural policy.
    • Austrian error: treating any lever use as illegitimate, permitting artificial scarcity rents.
    • Natural Law rule: Truthful, published, auditable stabilizer—neither accelerator nor strangler.
    • Historical Risk Level: High (touches creditor–debtor coalitions, state finance, and institutional legitimacy).
    Evidence Citations (structured tags):
    • “Cycles of accommodative accelerations and scarcity constraints in fiat regimes”—Dependency, Confidence 0.8.
      “Cantillon path & creditor–debtor transfer asymmetries”—      Dependency, Confidence 0.8.
      “NGDP-level targeting / settlement-demand corridors reduce transfer volatility”—      Reinforcement, Confidence 0.7.
    Evidence Chain (role & confidence):
    • Settlement-demand measurement f(Y,V*,risk) defines reciprocity baseline (Dependency, 0.85).
      Documented transfers under over/under-issuance validate asymmetry claims (      Dependency, 0.8).
      Corridor policies stabilizing transfers and expectations (      Reinforcement, 0.7).
    Use money like a thermostat, not a turbo or a choke. Create just enough money to match what the economy is actually producing and settling—no more, no less. Too much money quietly takes value from savers and gifts it to borrowers. Too little money quietly takes value from borrowers and gifts it to lenders. Publish the rule, show the data, index small savers by default, and stop using money printing to hide bad policy—or using scarcity to milk the public.

    Source date (UTC): 2025-09-23 16:48:07 UTC

    Original post: https://x.com/i/articles/1970530629562569161

  • 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

  • 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

  • GREATEST THREAT TO OUR INNOVATIONS APPLIED TO LLM AI? –“Greatest danger: captur

    GREATEST THREAT TO OUR INNOVATIONS APPLIED TO LLM AI?

    –“Greatest danger: capture of the RL system by ideological operators who substitute false reward criteria (e.g., ‘compassion’ instead of ‘reciprocity’).”–

    The left can cause AI to systematically lie.

    Source date (UTC): 2025-09-22 03:47:22 UTC

    Original post: https://twitter.com/i/web/status/1969971760524370120

  • (Runcible) Conundrum. So, Runcible can test the truth and ethics of nearly every

    (Runcible)
    Conundrum.
    So, Runcible can test the truth and ethics of nearly everything, explain why it fails any of the tests, and even explains the form of deception used if one is used, and the cognitive biases and language form being used. I mean, seriously, it’s devastating.

    Now there are at least two business cases.

    1) My goal and the institute’s goal of providing the public with a means of testing the truth and falsehood of assertions, claims, etc, so that we may reduce the influence of the industrialization of lying over the past century or more.
    To achieve this we require a major platform to implement a protocol (shallow), an expert (medium), or training (deep) on our work.
    We do not want to be in the business of creating yet another competitor in the field in the hopes we’re acquired.

    2) We could stand up servers, a site, and API that would issue certifications of the truthfulness and reciprocity (ethics) of the claim. And we could store both the claims and the certifications. We would effectively become another ratings agency. And we could charge per certification.

    Now, we could start with #1 and evolve into #2, which is the low risk strategy. It would allow us to demonstrate competency and avoid risk until we had the metrics to warrant ‘charging’ for certification.

    My concerns are:
    (a) I started my work, the institute, and this company Runcible, with the desire to produce truth and ethics validation/falsification for the masses in defense of the pervasive ‘lying’ of the talking classes across the spectrum. Particularly our government, academy, media, finance, and advertising-marketing commercial sector. This goal is social and political first, and economic second.
    (b) I do not care about or want to be in the business of certifying products, services, and claims. (Though to be honest, other members of the team, in particular my business partner Brad, are happy to run that business.) It’s a liability minefield and I think it is contrary to the objective of saving the common people from false promise and deception.
    (c) That said, it is much easier to get a VC to fund Option #2.
    (d) The major hosting and LLM producing companies do not want to be in the certification business. It puts them in potential conflict with their customers. But at least SOME of them are interested in having the option to ‘truth test’ almost anything online (That is, until they figure out how much of their cognitive bias reinforcement is almost certainly false.)
    (e) The major hosting providers might find a conflict between truth testing, alignment, and customer bias. IN other words, they’re blame free if people don’t expect the truth from them. But what happens when they dish the truth – and the population doesn’t like it -even if we try to align any controversial truth to the bias of the user.

    So, do you see my conundrum?

    If you have worthy thoughts about this please share.

    Curt

    Source date (UTC): 2025-09-16 18:35:40 UTC

    Original post: https://twitter.com/i/web/status/1968020982284816890