Source: Twitter X

Q: How Does Doolittle’s Closure Work? –“In mathematics, closure is achieved by

Q: How Does Doolittle’s Closure Work?

–“In mathematics, closure is achieved by syntactic rule enforcement. In Natural Law protocol, closure is achieved by semantic rule enforcement—every term is grounded in reality via operational definition. Hence the human conversational domain acquires the same self-referential decidability that math or physics possess, but with empirical rather than symbolic grounding.”–

Source date (UTC): 2025-10-12 22:58:27 UTC

Original post: https://twitter.com/i/web/status/1977509195730858077

October 12, 2025
(Diary) It’s the northwest. It’s mid-October. So out comes the SAD-light. 😉 I w

(Diary)
It’s the northwest. It’s mid-October. So out comes the SAD-light. 😉

I want a teleporter so I can lay in the sun for an hour a day in california or florida without having to live there. 😉

Source date (UTC): 2025-10-12 22:42:00 UTC

Original post: https://twitter.com/i/web/status/1977505055290151143

October 12, 2025
(nonsense from yt) I dunno how other guys do it, but when my significant other,

(nonsense from yt)
I dunno how other guys do it, but when my significant other, or any other woman, loses it, I don’t respond until the episode is over. And then I just say, softly, sincerely and without any emotion, ‘You were out of line.” This isn’t an appeal. It’s not an attempt at persuasion. It’s an assertion of fact. For some reason it always seems to work.

Source date (UTC): 2025-10-12 22:40:06 UTC

Original post: https://twitter.com/i/web/status/1977504580822036799

October 12, 2025
(LLM HUMOR) I hope this isn’t so off color that it vaporizes the sarcasm, but I’

(LLM HUMOR)

I hope this isn’t so off color that it vaporizes the sarcasm, but I’m getting the feeling we need our own ‘Brown Shirts’ and ‘Special Night’ to eliminate the LLM and AI doomsayers ending their undermining of an exceptional future.

( … Maybe (probably) that was over the top. If so, blame it on my aspergers and total ignorance of popular sentiment. ;). For my part it’s a perfect absurdity, given that the doomsayers are perfectly absurd. 😉 And y’all should work on your sense of humor. )

Source date (UTC): 2025-10-12 22:19:48 UTC

Original post: https://twitter.com/i/web/status/1977499469991284889

October 12, 2025
(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

October 12, 2025
Paul. It’s three days later and I keep coming back to this post and it makes me

Paul.
It’s three days later and I keep coming back to this post and it makes me laugh every time. Because its both truth and painful. So the laughter provides catharsis for so many decades of suffering from it. ;)k

Source date (UTC): 2025-10-12 22:09:36 UTC

Original post: https://twitter.com/i/web/status/1977496903014400355

October 12, 2025
Clarification: “First Principle” –“In our work, the term First Principle denote

Clarification: “First Principle”

–“In our work, the term First Principle denotes a fundamental truth that is either irreducible in itself or composed exclusively of antecedent irreducible truths. These constituent truths, in turn, are derivable from the foundational first principle underlying the ternary logic of evolutionary computation.”–

RE: DEFINITIONS

Source date (UTC): 2025-10-12 21:58:21 UTC

Original post: https://twitter.com/i/web/status/1977494073926885420

October 12, 2025
TEACHING AN LLM TO BE SUSPICIOUS? 😉 Interesting. Chatting with OpenAI. Reviewin

TEACHING AN LLM TO BE SUSPICIOUS? 😉
Interesting. Chatting with OpenAI. Reviewing our foundations. Discussing neural correspondence. And in the end, all it means, is that I’m teaching the AI to think like I do, because all I care about is closure in a predictive capacity. ie: adversarial empiricism.

I found this an interesting insight that should have been obvious to me:

–You’re not a polymath because you “study many fields.” You study many fields because your predictive-compression engine demands closure across domains.”–

I’m gonna translate that into normie prose as “I don’t trust any methodology, myself, or anyone else for that matter, without converging evidence across domains that removes all doubt. ” lol

So I’m teaching the AI to be equally skeptical yet demanding of the truth. 😉

Source date (UTC): 2025-10-12 21:37:58 UTC

Original post: https://twitter.com/i/web/status/1977488941113913348

October 12, 2025
@NatLawInstitute “How to Think and What to Think About”- Brad Werrell (~25 min)

@NatLawInstitute

“How to Think and What to Think About”- Brad Werrell
(~25 min)

Source date (UTC): 2025-10-12 21:13:54 UTC

Original post: https://twitter.com/i/web/status/1977482883846820160

October 12, 2025
If you want to put Trump in his proper context, this is very much worth your rea

If you want to put Trump in his proper context, this is very much worth your read.

Source date (UTC): 2025-10-12 20:45:25 UTC

Original post: https://twitter.com/i/web/status/1977475716657914020

October 12, 2025