Ahh, GPT-2 is too dangerous to be released!

The honest seam is obvious: claudish works; imitation does not. That’s not nothing.

If you are not asking them they turn into a pumpkin. Babysit them like junior devs (but braindead), pay monthly subscription to model providers, pay for extra tokens, and/or buy RAM$$$ to get 2-digits TPS.

To the moon!

(There is no logic in this message, btw.)

> almost everyone has misaddressed

Almost no-one, unless we are talking about LLMs and Google Translate users who could attempt map translations 1-to-1. Oh well, a new AI generated fake piece was published, see it soon in the "Did you know ..." section of enwiki.

- Over the /last few days/ there has been a lot of discussion about open-source systems, especially those that are not made in US. (implying that these discussions appeared just now)

- Reports suggest that /some US officials/ are considering banning the use of these open-source systems by US companies. (implying somebody other than their corrupted representatives support this ban)

And then switching to a complete gaslighting regarding manufacturing capabilities of US vs China, about "open-source can not be trusted", about "GPT-2 is too dangerous to release"

On top of that, I retried the same question + one simple question, and again, same behavior - second JC chat is loading forever. That's more just a funny observation over Gemini - today this is very likely some internal issue, tomorrow it can be used for plausible deniability against copyright accusations.

5 minutes later: all previous chats are loading fine, but the only "Counterexample to the Jacobian Conjecture" chat is not loading.

Well, I'm not a conventional conspiracy theorist. But everyone knows that in every major LLM provider there are hell of hidden guarding systems that mark users and dialogues based on content (for topics about national security, biology, security, adult topics, etc.) - so there is a small chance a CEO of Google is now receiving a dozens of notifications about "ground-breaking results that could be attributed to Gemini, if act quick". So if any of thousands researchers have ever submitted this polynomial to Claude previously, any Anthropic employee can accidentally or intentionally "rediscover" the result of other researcher (and even hide the traces by deleting a dialogue of other user).

Quick check: Ctrl+F genuine - 50 times, honest - 57 times, ethic[al] - 116 times, safe - 110 times, epistemic - 18 times. And why actually it is baked into LLM - probably because human reviewers consistently gave higher scores for answers that contained these words (it is now when people are sick of it - I can imagine that on early stages it looked not as bad - maybe reviewers trusted more when they saw the word "honest" and "genuine")

Just a single frame (any frame). After that any modern LLM can read it (if not - single dilate step helps). Funny enough, Ghost Font is a font that machine can read much better than human.