YES
Source date (UTC): 2026-02-13 19:13:11 UTC
Original post: https://twitter.com/i/web/status/2022388599933849788
YES
Source date (UTC): 2026-02-13 19:13:11 UTC
Original post: https://twitter.com/i/web/status/2022388599933849788
(NLI)
DISAMBIGUATING PROPERTARIANISM AND NATURAL LAW
Interesting Insight from ChatGPT 5.3:
—“If you want the criterion and test for which rules produce cooperation, you are in Natural Law (of cooperation). If you want the legal-political architecture that implements that criterion as rights/obligations around property and exchange, you are in Propertarianism.”—
–““Natural Law (of cooperation)” is described as the discovery-and-test apparatus for deciding what rules sustain cooperation, while “Propertarianism” is described as the normative/legal rule-family that results when you apply that apparatus and cash it out as property/contract/tort/restitution.”–
I think I separate ‘the methodology’ for producing the science of decidability as distinct from the resulting science, but I can see how that’s an arbitrary distinction.
–“If Natural Law is a procedure for making moral/legal claims operational and testable, then it yields criteria (reciprocity, decidability, full accounting) that select for certain institutions; the consequence is that the selected institutional form is framed as property/contract/restitution; the function is enforceable cooperation under constraint rather than narrative justification.”–
–“The documents describe Natural Law as an attempt to make social/moral claims operational, testable, and decidable—i.e., “define terms operationally, measure variables, test causality” as an evaluative procedure rather than merely a policy preference.
They also frame Natural Law as a universal framework drawing on evolutionary/game-theoretic selection: rules are treated as “discovered” by what sustains cooperation vs what produces conflict/decay.
Therefore, “Natural Law (of cooperation)” is functioning as the criterion/test suite: does a norm/law/policy produce reciprocal cooperation under constraints, after full accounting?—not yet as a particular constitution or statute-set.”–
In my understanding that’s ‘science’.
–“The same materials explicitly say that the reciprocity/non-imposition ethic reduces in practice to property rights and voluntary exchange, and then state that this property/exchange ethic is what Doolittle “elsewhere terms ‘Propertarianism.’”
They cash this out in common-law terms—tort (“harm requires compensation”), property (“clear ownership to avoid disputes”), contract (“honor agreements”)—and describe the program as making this “common-law justice in algorithmic form,” i.e., enforceable institutional machinery rather than only a criterion.
Hence: once Natural Law supplies the test (“no involuntary reduction of others’ demonstrated interests without restitution”), the “implementation layer” naturally becomes property/contract/restitution rules—the political-juridical architecture that gets labeled Propertarianism in these texts.”–
In my understanding that’s applied science.
–“Scarcity + strategic interaction over resources → stable cooperation requires reciprocity (no uncompensated imposition) → Natural Law is presented as the measurement/decidability procedure for testing which rules satisfy that reciprocity across cases → when you implement reciprocity institutionally you converge on property/contract/tort/restitution as the enforceable grammar → that enforceable grammar is what the documents identify as “Propertarianism” (the property-rights/voluntary-exchange encoding).”–
So we have “The Methodology” > “The Science” > “The Applied Science” as a hierarchy that constitutes this intellectual project.
The Clean Disambiguation:
Natural Law = method (formal/operational social science);
Propertarianism = applied jurisprudence (normative institutional design).
This framing lets me preserve Propertarianism. Nice. 😉
I didn’t think of that disambiguation. I see Propertarianism as the insight that all of social science (all of behavioral science) can be reduced to analysis of demonstrated interests (property). I see Natural Law of cooperation as the science of decidability and the means of implementing it. But the above analysis is correct. The method is what it is. The science is what it is. The paradigm for its use in institutions is what it is. Elegant really. Wish I’d thought of it. Simplifies explaining it. 😉
Cheers
CD
Source date (UTC): 2026-02-13 18:56:11 UTC
Original post: https://twitter.com/i/web/status/2022384323203309648
–“Most labs are producing synthetic data. We produce synthetic structure.”–
@LukeWeinhagen
We aren’t adding data we’re adding structure within which to organize data. we call it universal commensurability but the tech sector isn’t exactly the top of the epistemic pyramid….
Source date (UTC): 2026-02-12 21:40:30 UTC
Original post: https://twitter.com/i/web/status/2022063288323051722
–“We show that global progress in learning—a priority Sustainable Development Goal—has been limited, despite increasing enrolment in primary and secondary education. … average estimates mask considerable heterogeneity associated with income grouping across countries and regions. This heterogeneity highlights the importance of including countries at various stages of economic development when analysing the role of human capital in economic development.”–
IOW: you have to build the whole society from the baseline of the degree of neotenic evolution (roughly average IQ) through to the institutions and the economy.
This is another way of saying your economic social and political condition is more dependent upon your fellow citizens (and their genetics and religion) than on you yourself.
Source date (UTC): 2026-02-12 20:04:04 UTC
Original post: https://twitter.com/i/web/status/2022039018926669972
That’s right.
(Not a fan of the implication that a lack of social mobility when sortition is already nearly exhausted is somehow a criticism. It’s more that they’ve succeeded in eliminating resistance to it.)
Source date (UTC): 2026-02-12 19:57:21 UTC
Original post: https://twitter.com/i/web/status/2022037329498845512
@Scientific_Bird
cc:
@GregoryClarkUCD
I would think that a small homogeneous northern european population, with existing traditions and institutions would sort so thoroughly that social mobility was limited simply because there was so little resistance to it in the first place
Source date (UTC): 2026-02-12 19:55:27 UTC
Original post: https://twitter.com/i/web/status/2022036849662050566
Yep. I’m INTP. :
Source date (UTC): 2026-02-11 18:51:03 UTC
Original post: https://twitter.com/i/web/status/2021658254301179930
–“I’m ready for the asteroid.”–
(?)
Source date (UTC): 2026-02-11 14:20:48 UTC
Original post: https://twitter.com/i/web/status/2021590246027096086
(Runcible) RE: LLM R&D
TL/DR;
Yeah, well, LLMs are really pretty dumb and I’ve sought and hit the limit of their abilities. And it’s been an exasperating journey of dashed hopes. 😉 (well, mostly).
Problem Space:
We produce:
a) the runcible governance layer which is my epistemology applied to computability. It is extraordinary. It overcomes the problems of LLMs but not the limitations. It’s a wrapper around the LLM that binds it to limited pathways through the latent space.
b) control over this layer has forced us to create and modify one of the open source models. We had hoped to ‘help’ openAI, but they are a bit ‘unfocused’ as a company and getting access to discuss at a high enough level amidst their many pressures is almost impossible on one hand and more costly than doing it ourselves on the others. So in effect we have a router llm, and a set of target LLMs, functioning as a mixture of experts. But realistically it’s just cost control.
c) We also produce Oversing, which is a mobile, tablet, desktop universal application platform for running organizations of any sale, but basically it’s a host for contexts that you use to collaborate with one another and an LLM.
Result:
This is a crazy project of enormous scope but it’s the end point of what people need going forward. Cooperation at scale.
No one has done this yet. It’s partly because they don’t know how to, and it’s partly because it’s hard. 😉
Context:
While I have built many tech companies, and consulted for the fortune 400, and made the Inc500 three times, I work in many disciplines, and my fundamental skills are epistemology, especially in high dimensional closure domains such as cognitive science, language, economics law, and evolution.
The simple version is reducible to the fact that I don’t make mistakes that are common in the STEM fields by trying to reduce to mathematics or algorithm, that which is not reducible further than operational prose.
So this is why I can solve this problem for LLMs.
It’s just … let’s say… a little exasperating – just like every previous tech …until we understood it. 😉
CD
Source date (UTC): 2026-02-10 21:46:29 UTC
Original post: https://twitter.com/i/web/status/2021340016082034787
IMO:
1) They are exceptional synthetic search engines. In other words – pattern matchers.
2) They imitate the human language facility. In that sense they are amazing. But they don’t imitate the neocortical spatial faculty, (this is LeCunn’s argument) or the hippocampal episodic memory formation, or the frontal cortex recursive wayfinding (testing an idea). They are bad reasoners because reasoning requires reduction to episodic steps, and wayfinding by recursion. And recursion is expensive.
3) Our company’s governance layer( a wrapper around the LLM) can however determine whether a claim or assertion is true/false, ethical/not, possible/no, warrantable/not, liability-producing/not. But it does so by breaking down the problem and recursively testing each step.
4) IMO leCunn is only half right in that we need a world model, but he is wrong, in that linguistic reduction isn’t a necessary property. It’s that you need an LLM (sematic store) for hypothesis generation (auto-association), the equivalent of a router (prefrontal cortex) to manage the ‘reasoning’ process (wayfinding) and to maintain states (episodes), a spatial model to test operational possibility, the llm linguistic model as the input output protocol.
This means we’re just early and very demanding of one revolutionary insight, which is the attention model that mimic the human language facility, and the N-Dimensional sematic manifold as memory.
CD
Runcible
NLI
Source date (UTC): 2026-02-10 19:35:56 UTC
Original post: https://twitter.com/i/web/status/2021307165441732671