In his very lukewarm defense, the rough CS equivalent to publishing a paper in a journal is presenting your paper at a conference. According to DBLP he has had three papers in AGI '06 '07 and '11 (which i would not call a serious conference) and one workshop paper (generally a tier below actual acceptance to the conference) at AAAI '15.

Ah okay, I didn’t realize that.

It’s not quite clear to me that

We rely on some standard LLM detectors to focus our attention on papers that need to be checked.

implies they are using LLMs themselves. The phrase “LLM detector” is a bit ambiguous and could mean “LLM being used as a detector” or just “classifier program designed to detect LLM output”.

im smarter than everyone else around me, especially those whiny feminists. why hasn’t society granted me a female to be my mate yet?

i can kinda understand “liking the idea” in the same way that I “like” the very simple currency systems in single-player video games, where you do work (fight monsters, collect items, win Pokemon battles) and are automatically rewarded with currency you can use to buy items, which are always reasonably-priced because the game developers balanced it that way. It’s just that these systems have nothing to do with reality. But that simplistic view of money is pretty much all that’s left of cryptocurrencies if you look past the get-rich-quick scheme.

decision theory is when there’s a box with money but if you take the box it doesn’t have money

Hochman correctly deduces that R9PRESENTATIONALism originated in the 18th century, but fails to realize that the roots of this movement actually lie with the Bavarian Illuminati, a secret society which was supposedly suppressed by edict in 1784 but has in fact maintained a shadowy existence influencing politics up to the present day.

I don’t really understand what point Zitron is making about each query requiring a “completely fresh static prompt”, nor about the relative ordering of the user and static prompts. Why would these things matter?

“Replication of Quantum Factorisation Records with an 8-bit Home Computer, an Abacus, and a Dog”

shrimppost found in the wild

their story is so incoherent, i can’t even tell if there was a database to begin with

solve this sokoban or you’re fired

the announcement post is obviously LLM-generated as well

https://www.alignmentforum.org/posts/aeBAkCPqWHscrAZKA/s-expressions-as-a-design-language-a-tool-for-deconfusion-in

The field of artificial intelligence has come full circle.

And sure enough, just within the last day the user “Hand of Lixue” has rewritten large portions of the article to read more favorably to the rationalists.

Yeah for some reason they never covered that in the stats lectures

I thought part of the schtick is that according to the rationalist theory of mind, a simulated version of you suffering is exactly the same as the real you suffering. This relies on their various other philosophical claims about the nature of consciousness, but if you believe this then empathy doesn’t have to be a concern.

If the growth is superexponential, we make it so that each successive doubling takes 10% less time.

(From AI 2027, as quoted by titotal.)

This is an incredibly silly sentence and is certainly enough to determine the output of the entire model on its own. It necessarily implies that the predicted value becomes infinite in a finite amount of time, disregarding almost all other features of how it is calculated.

To elaborate, suppose we take as our “base model” any function f which has the property that lim_{t → ∞} f(t) = ∞. Now I define the concept of “super-f” function by saying that each subsequent block of “virtual time” as seen by f, takes 10% less “real time” than the last. This will give us a function like g(t) = f(-log(1 - t)), obtained by inverting the exponential rate of convergence of a geometric series. Then g has a vertical asymptote to infinity regardless of what the function f is, simply because we have compressed an infinite amount of “virtual time” into a finite amount of “real time”.

You’re totally misunderstanding the context of that statement. The problem of classifying an image as a certain animal is related to the problem of generating a synthetic picture of a certain animal. But classifying an image of as a certain animal is totally unrelated to generating a natural-language description of “information about how to distinguish different species”. In any case, we know empirically that these LLM-generated descriptions are highly unreliable.

From the appendix:

TOTAL, COMPLETE, AND ABSOLUTE QUANTUM TOTAL ULTIMATE BEYOND INFINITY QUANTUM SUPREME LEGAL AND FINANCIAL NUCLEAR ACCOUNTABILITY