(NLI)
Thread listing NLI President Brandon Hayes’ SCOTUS Submissions illustrating NLI judgements for cases submitted to the court.
This is evidence of the veracity of our work in producing judicial decidability.
(We have solved computational decidability in law.)
Source date (UTC): 2026-02-18 17:39:10 UTC
Original post: https://twitter.com/i/web/status/2024176879029363117
Human Rights as Anti-Imperial, Anti-Communist, Anti-authoriatarian postwar statecraft.
“No more (a) empires and (b) european wars, and (c) no more word wars (d) take adam smith’s advice, (e) end empires (f) create nation states (g) and organize them into federations. (h) the result should be peace and prosperity: the pax americana – and it worked.”
I think by the present generation the horrors of the world wars, the collapse of the british empire in particular and more broadly, europe, that resulted, was driving demand for ‘never again’ especially by americans who had viewed the warlike nature of european empires with disdain for a hundred and fifty years. (The same way americans vew the political decadence of europe at american expense today..)
The purpose of human rights in the 20th century was strategic and slightly dependent upon the theatre of operations:
The “Western demand for human rights” in the twentieth century functioned less as a single moral thesis than as a multi-use instrument whose strategic objective depended on the theater of competition.
1) External objective (Cold War): impose political costs on rival regimes without kinetic war
Human-rights language let Western states and publics shift competition onto the informational and legitimacy plane: treat dissident complaints as obligations violated, publicize violations, and thereby raise the Soviet bloc’s governance costs (repression, surveillance, censorship) while lowering the West’s costs of confrontation (because the “argument” becomes compliance with signed commitments rather than a bid for territory). The Helsinki “process” is the operational case: Basket III commitments became a durable hook for monitoring, naming, shaming, and organizing opposition inside the Eastern bloc.
2) System objective (post-1945 order): construct a common legitimacy language for Western leadership
After 1945, U.S.-backed “universal” human-rights talk supplied a portable standard usable across alliances, decolonization conflicts, and international institutions: it converted disputes over governance into disputes over compliance with norms, which is strategically useful for coalition maintenance and agenda-setting in global fora.
3) Internal objective (rule-of-law grammar): convert anti-parasitism constraints into enforceable “rights”
In the Natural Law Institute’s framing, “rights” are not metaphysical endowments; they are positive legal encodings of prohibitions—i.e., “prohibitions against parasitism can be positively expressed as contractual ‘rights’.” The strategic objective, in that grammar, is to force disputes into decidable, reciprocal, liability-bearing forms rather than discretionary rule. This aligns with the same document’s description of European strategy as sovereignty + reciprocity + rule-of-law/markets as a competitive adaptation mechanism.
4) 1970s “rights turn” objective (U.S. poli wartime shocks
“A separate, contingent objective in the late twentieth century (especially the 1970s) was domestic-political rehabilitation: human-rights policy provided a way to reframe U.S. foreign policy and restore confidence after Vietnam/Watergate-era credibility damage.” (This is a prominent thesis in the historiography).
Martin makes the common historiographic error of presuming a baseline that never existed, and a baseline today that is not superior to what did exist.
The anglosphere united the world in trade and communications and finance. This had uneven effects. But what it achieved was the near end of poverty worldwide. Just as the british ended slavery worldwide.
You can’t defeat the anglosphere on moral grounds, only on unpredicted externalities – which are not to be ignored, but corrected.
Source date (UTC): 2026-02-17 17:36:29 UTC
Original post: https://twitter.com/i/web/status/2023813819395699072
COUNTER PROPOSITIONS: TO RISKS STATED BY ANTHROPIC’S CEO
RE #1
Our think tank (‘lab’) and our company (‘commercial application’) produce an AI governance layer that pretty much eliminates hallucination and all but guarantees a warrantable assessment of testifiable(truth), ethics (reciprocity), constructability (possibility), liability and restitutability.
We are certain that within two years it will be possible to gate even current LLMS and that in fact our governance layer or an equivalent will be required to do so – at least in an IP window that is a competitive advantage.
The thing is? Computable Epistemology and Decidability is far harder than you’d think and there is not much evidence of sufficient cross disciplinary knowledge in the field at present.
RE #2:
GIVEN:
a) There is plenty of interstitial discover to be made,
b) There is plenty of permutation discovery made,
c) So there is a relatively finite set of low handing fruit for AI to identify.
d) On the other hand the primary obstacle to innovation is not brains – it’s building experiments and tests.
e) There is a fundamental simple order to the universe (really because we have taught it to our AI), and everything evolved from it.
As such universal commensurability is possible and therefor constructive proof MIGHT be as well as constructive Hypothesis.
RESULT: This means we can’t extrapolate innovation by work of AIs any more than we can demonstrate that we have made any difference in the rate of innovation since 1963 despite vastly increasing the population and funding of researchers (and yes I am correct, sorry.).
Ergo, we should make early discoveries in the interstitial (cross disciplinary) and permutable (combinatorics) space. But those early discoveries will be misleading. The problem will remain boots on the ground testing, with technologies that are increasingly expensive when funding may be pressed by present asymmetric reproduction due to population aging and collapse.
RE: #3. We cannot make an LLM deceive when operating under our governance layer. The mistake everyone is making is that it’s something to do with LLM incentives instead of the semantic content of internet training includes deception that is provoked by context saturation.
Worse, the idea that LLMS are ‘just predicting the next word’ is a childish falsehood. Instead the latent space is a projection of n dimensional relations, the query or prompt is a union with it, and the attention layers are projections of wayfinding through that union. This is an almost perfect analogy of how the human langauge facility operates.
a) The difference is that humans engage in massive parallelism (darwinian competition between hypothesis) updated moment by moment via recursion as we speak. (You should have seen papers last week that illustrated the solution to the problem, or seen how Google is using (I think five) competing hypotheses in adversarial competition, which is one of the (costly) reasons for the radical improvement in Gemini.) FWIW the human grammatical faculty and the universe’s means of evolution are identical: continuous recursive disambiguation to the point of identity.
b) The other difference is that humans have episodic memory for compartmentalization.
You should have seen a paper in the past month that illustrated a rather simple solution – though they don’t arrive at the conclusion that’ they’ve reconstructed the faculty of episodic memory.
c) What’s left to produce is the equivalent of the prefrontal cortex that decomposes and tests any given hypothesis. Our governance layer is effectively that solution.
d) In fact the hardest problem we face, which we are close to overcoming, is that one subset of safety features demanding universalism (prohibiting sex, age, class, culture, civilizational, population group, differences) is causing the LLMs to constantly evade or lie about solving the hardest problems facing us, and prohibiting us from explaining those differences as rational adaptations both evolutionary and cultural, and offering possible means of compromise – thus helping us all understand each other as not evil per se, but as the product of evolution’s division of perception, cognition, valence, and labor.
e) All that is left is something I don’t see value in, which is consciousness – which is not the mystery philosophers claim it is. It’s the natural result of hierarchical memory processing, which is why it emerges incrementally among animals. Giving AIs a task or goal and having it loose ‘consciousness’ upon completion, while still storing episodic memory for later retrieval, tends to mitigate runaway recursive self interest – at least under our governance layer.
So from my understanding (and I have been at this problem since the early 80s and the resulting AI winter) we have all the pieces for AGI and possibly ASI (which is a questionable distinction for the reasons I said above).
FWIW, my experience is that the labs are not as sophisticated as they claim, and are making predictions based on correlations and processing power, and not on necessarily understanding ‘how to make a brain’. This is a kind of optimistic confidence. Even LeCun is overhyping his advancement when it is an addition to the language function. (He’s trying to solve the hippocampal problem which is the equivalent of the sixth sense: the production of a geometric world model in addition to a semantic one that we have today.) This is an add. AFAIK it’s not a replacement. It’s also something we understand, biomechanically, thoroughly.
Thanks for the read if you managed it.
Cheers
Curt Doolittle
NLI and Runcible inc.
Source date (UTC): 2026-01-27 02:31:13 UTC
Original post: https://twitter.com/i/web/status/2015975853298221216
TEN TRUE THINGS … THAT ARE UNCOMFORTABLE
via Grok, via vittorio
@IterIntellectus
Here are 10 things that are demonstrably, evidence-based true—yet the vast majority of people will fight you, get defensive, or change the subject the moment you say them out loud:
1. You are not special.
Statistically, genetically, and cosmically, you are average-to-above-average in a few narrow ways and utterly ordinary in almost everything else. The universe does not have a plan for you. Your existence is a fluke.
2. Most of your beliefs are not your own.
You adopted them from your parents, culture, social circle, or the algorithm to fit in and feel safe. If you’d been born in a different country/era/family, you’d believe the opposite with the same certainty.
3. Talent is mostly a myth.
What looks like “natural gift” is almost always early exposure + thousands of hours of the right kind of practice + luck. The people who seem effortlessly brilliant just started earlier or hid the grind.
4. Looks matter enormously.
Attractive people get paid more, trusted more, punished less, helped more, and promoted faster—literally from the cradle to grave. Denying “pretty privilege” doesn’t make it disappear.
5. Your personality is not fixed.
It keeps shifting with age, hormones, trauma, meds, social environment, and even gut bacteria. The “real you” at 20, 40, and 70 will be three different people who would
probably annoy each other.
6. Most jobs are socially useless or activ ly harmful.
Huge chunks of the economy (corporate law, advertising, middle management, derivative trading, etc.) exist only to shuffle paper or extract rent. Very few people are actually solving real problems.
7. Intelligence is largely genetic and mostly fixed by adulthood.
IQ is 60—80% heritable, and no amount of mindset podcasts, nootropics, or “growth mindset” will move you more than ~10—15 points. Some people are just permanently smarter than others, and that’s unfair.
8. Democracy is mostly theater.
Voters have almost zero influence on actual policy.
Elections are emotional pageants; the real decisions are
made by donors, bureaucrats, and entrenched interests
long before you cast a ballot.
9. You will never “find your passion.”
Passion is cultivated through mastery, not discovered. People who love what they do got decent at something first, then the dopamine loop kicked in. Waiting to feel passionate keeps most people drifting forever.
10. Almost everyone is faking it to some degree.
Confidence, happiness, expertise, relationships—most people are winging it and hoping no one notices. The ones who look like they have it all together are usually the best actors.
Source date (UTC): 2025-11-18 19:57:06 UTC
Original post: https://twitter.com/i/web/status/1990871907605123529
Adam (
@AdameMedia
)
This is an exellent example of people with little understanding of economic foundations failing to grasp the ‘science’ behind their observations.
1) All Capital is a store of time.
2) All Credit and Debt are a trade of time.
3) All Contracts of credit and debt (promises) are agreements over presumed (theoretical) returns on time.
4) All stock prices constitute anticipated but unrealized returns on time.
5) All modernity is predicated on this speculation of returns on time.
There is nothing illogical, foolish, or nefarious about speculating returns on time. The mistake you are making is confusing temporal asset of currency with the inter temporal asset of shared hypotheses of the potential returns on time
The fact that we use dollars to provide commensurability between two different things is no different from using numbers to compare lengthens or weights or volumes of two different things.
Doing so is s a cognitive crutch for natural limitations of our human brains.
‘AS FOR THE POTENTIAL’
The truth is you and the author of the original post are simply wrong. I know so because we have already solved hallucination and determinism problems, and my organization has solved truth ethics and possibility. That means the only remaining technical problem is episodic memory for indexing and prediction.After that all ai improvements are simply matters of learning recursively – which is something all of us know how to do. And after that it’s a matter of waiting for neuromorphic hardware instead of compression through matrix mathematics – a solution that will collapse the power consumption issue but is still two decades away (estimated).
AS FOR THE INCENTIVE
Given the spectrum of incentives which will be as big a leap as the Industrial Revolution, it is logical to pursue the investment just as it was the space program and the settlement of the west.
There is nothing odd or extreme or irrational here.
Source date (UTC): 2025-10-27 16:05:22 UTC
Original post: https://twitter.com/i/web/status/1982841057554645022
ALIGNMENT WITHOUT A PRIOR DEFINITION OF TRUTH ONLY PRODUCES AGREEMENT, NOT CORRECTNESS.
1. Why current practice conflates truth and alignment
Training signal: Most models learn from human preference data. The model is rewarded when humans like the answer, not when the answer corresponds to reality.
Objective function: Reinforcement-learning fine-tuning minimizes disagreement with raters. That measures social alignment (politeness, tone, consensus) rather than epistemic alignment (accurate mapping to the world).
Evaluation: Benchmarks such as multiple-choice accuracy or human-evaluation surveys treat “close enough” as success. There is no ground-truth audit trail or falsification step.
Cultural bias: Most institutions currently regard “safe and pleasant output” as a higher-value product than “provably true output that may be uncomfortable.”
So alignment, in practice, has come to mean “avoid conflict and offense while sounding credible.”
2. What it means to optimise for truth first
If you separate the goals:
– Truth is a world-to-model mapping.
– Alignment is a model-to-human mapping.
– You can only align safely after you know the model’s map is true.
3. How to do it operationally
Truth layer first
– Define testable protocols for each domain (physics, biology, economics, law).
– Evaluate outputs against these external references automatically.
-Alignment layer second
– Take only verified-true outputs as training material for alignment.
– Optimise style, tone, or prioritisation without touching the truth constraint.
Audit trail
– Every claim carries metadata: sources, falsification status, revision history.
– Alignment never overrides a falsified item; it only moderates its presentation.
Governance
– Separate “truth review boards” (scientific verification) from “alignment boards” (ethical and cultural oversight).
The latter cannot alter the former’s records, only decide how they’re displayed or used.
4. Practical effect
Doing this converts alignment from ideological tuning into policy wrapping around a verified epistemic core.
The system becomes “truth-first, alignment-second”:
– If the truth layer says a statement is false → it cannot be used for alignment.
– If it’s undecidable → flag it, don’t optimise on it.
– If it’s true → alignment may adapt its delivery for audience safety.
5. In summary
Current AI development often treats truth as a subset of alignment (“true enough for people to accept”).
Our approach reverses that: alignment must be a subset of truth (“acceptable ways to deliver what is true”).
That inversion is what allows reasoning to stay trustworthy.
Source date (UTC): 2025-10-21 19:03:19 UTC
Original post: https://twitter.com/i/web/status/1980711515369177177
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
Let’s attempt a civilizational diagnosis of the Israel–Iran conflict through the full causal stack, using the Natural Law framework.
CIVILIZATIONAL DIAGNOSIS: ISRAEL–IRAN CONFLICT
I. First Principles: Evolutionary Strategy
Civilizations are extended phenotype strategies for group survival under varying environmental constraints.
Two evolutionary strategies are in conflict:
These two civilizations use incommensurable moral grammars:
One defends via sovereignty and reciprocity.
The other via religious submission and asymmetric cost imposition.
II. Institutional Divergence
Israel inherits Western institutional logic:
Distributed responsibility via law
Secular constitutional rule
High-trust commercial society
Defense through observable deterrence
Iran retains Islamic theocratic institutional logic:
Divine law overrides man-made law
Legitimacy through obedience to religious authority
Military strategy as theological extension
Defense through sacrifice, not deterrence
Thus, the conflict is not just geopolitical—it is institutional:
One system seeks predictive cooperation, the other submission and deterrence through unpredictability.
III. Moral Economy Breakdown
Israel enforces reciprocity within and across borders—where possible.
Iran externalizes its costs by sponsoring non-state actors:
It avoids sovereign liability.
It exploits Western legal and moral asymmetries.
It uses martyrdom and outrage as currency.
Result:
Israel pays for law. Iran profits from lawlessness.
That is, one civilization pays the cost of cooperation, while the other profits from its sabotage.
IV. Narrative Conflict
Israel operates under testifiable constraints: truth, law, evidence.
Iran operates under unfalsifiable claims: divine will, victim narrative, anti-Zionism.
Western press asymmetrically favors moralizing narratives over operational truths, allowing Iran to weaponize victimhood and moral framing.
V. Consequences
Israel’s attempts to maintain moral high ground in warfare are used against it.
Iran’s violations of reciprocity are ignored under the banner of grievance.
This asymmetry leads to:
Loss of moral clarity
Delegitimization of lawful defense
Encouragement of proxy aggression
VI. Diagnosis Summary
The Israel–Iran conflict represents a clash between a reciprocal contractual civilization and an asymmetric theocratic insurgency that operates by weaponizing externalities, moral asymmetries, and Western institutional weaknesses.
It is not a war over borders or bombs—but over which rule-set governs mankind:
Truth and reciprocity
Or submission and asymmetry
VII. Prognosis
Without universal enforcement of reciprocity under law, parasitic civilizations will continue to escalate conflict until either:
They are forcibly constrained.
Or they collapse under internal contradiction.
Israel survives by law. Iran survives by violating it.
This conflict ends only when law is extended and enforced universally—or abandoned entirely.
That is the civilizational threshold.
Source date (UTC): 2025-07-23 22:11:05 UTC
Original post: https://twitter.com/i/web/status/1948143859617402917
DISCUSSING PENDING DOMESTIC CRISES AND WHY THE FUTURE IS UNPREDICTABLE.
Tricia;
I’m kind of … curious (and I probably shouldn’t be) why the same level of economic analysis prior to 2001, and 2008 are not occurring today or not visible today, despite that (a) yes the causes and consequences of this ‘correction (collapse)’ are more diverse and less certain, (b) any means of recovery from it not only uncertain but questionable, (c) the causal density of risk worldwide is as great as before the first world wars and for very similar reasons.
In other words, the fearful and dramatic noise over the state of the geostrategic and geoeconomic world is drowning out the more abstract discourse of the vast domestic economic correction, and the impact our demography, our factionalization, and our regional diversity of economies will exacerbate everything from political divisiveness, economic restructuring, and worse the pressure for civil war if not solved.
I’m in the “this is the quiet before the storm” moment because we simply do not see that causal density: all these cycles coming to collapse at the same time.
I usually tell people that I can predict trends simply by predicting the natural corrections – but I can’t predict trigger events – only time frames.
But what do we do when all trend lines collapse at the same time, and we can’t predict trigger events, and worse we can’t even imagine, less predict, possible solutions on the other side of the inflection point?
IMO taking iran off the plate – and failing – was a catastrophic lost opportunity that preserved a set of possible triggers. IMO trump causing the replacement of China’s Xi with his sanctions should have lowered the number of possible triggers. The exhaustion of russian economy, military, and demography should have lowered the same number of possible triggers. The forcing of europe to pay for its own defense should have lowered the number of triggers.
But in general, just of those three, nothing else considered, I’m not sure we’ve moved the needle on the spectrum of possible trigger events. Perhaps we’ve moved domestic crisis to international crisis? At least that’s what it looks like.
So you know, despite my history of predictions, my ability to predict the near future, as I’ve stated before, is limited to “something is gonna happen and it’s gonna be bad, and it’ll last from 3 to 30 years depending upon how bad it is.” But I have no idea what the world uses to recover from or what the world might look like afterward. 🙁
Source date (UTC): 2025-06-26 00:35:11 UTC
Original post: https://twitter.com/i/web/status/1938033263710507316
RE: US PARTICIPATION IN THE ISRAELI WAR AGAINST IRAN’S ISLAMIST
I should have stated this yesterday, but for those who are still thinking about it:
1) Trump is adamant about ending the Iranian nuclear program. It’s well insulated underground. Israel does not have bunker busters. I am almost positive that the USA will a ‘augment’ the Israeli effort with the use of bunker busters.
2) The USA will then expand attacks on military facilities until achieving unconditional surrender.
3) The remaining problem will be the lack of a regime in Iran, and a lack of legitimacy of both Israelis and the USA in any attempt to produce the equivalent of a Marshall Plan of Iranian recovery.
4) I have no read on King Pahlavi, though it would create international legitimacy, solve the leadership issue quickly, and quicken the formation of a government, without some anti-islamist forces in Iran, building them will be a risk, and risk will persist as it has elsewhere.
We can easily create another catastrophe like Iraq. Unless the Iranian people can form a government quickly, and purge the remaining islamists.
Source date (UTC): 2025-06-18 01:40:57 UTC
Original post: https://twitter.com/i/web/status/1935150710498492717