Thereās a part where they quote someone saying āI am not particularly confident [in my p(doom)]ā and Iām still remembering getting talked down to about how Actually all subjective uncertainty can be represented as probabilities because Bayesianism and you wouldnāt happen to be one of those stupid frequentists right?
Thatās weird, The Registerās versions of the quotes are different (not just pared down).
decision theory is when thereās a box with money but if you take the box it doesnāt 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 donāt really understand what point Zitron is making about each query requiring a ācompletely fresh static promptā, nor about the relative ordering of the user and static prompts. Why would these things matter?
their story is so incoherent, i canāt even tell if there was a database to begin with
solve this sokoban or youāre fired
the announcement post is obviously LLM-generated as well
The field of artificial intelligence has come full circle.
And sure enough, just within the last day the user āHand of Lixueā 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 doesnāt 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 ābase modelā any function f which has the property that lim_{t ā ā} f(t) = ā. Now I define the concept of āsuper-fā function by saying that each subsequent block of āvirtual timeā as seen by f, takes 10% less āreal timeā 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 āvirtual timeā into a finite amount of āreal timeā.
Youāre 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 āinformation about how to distinguish different speciesā. 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
This week the WikiMedia Foundation tried to gather support for adding LLM summaries to the top of every Wikipedia article. The proposal was overwhelmingly rejected by the community, but the WMF hasnāt gotten the message, saying that the project has been āpausedā. It sounds like they plan to push it through regardless.
The actual pathfinding algorithm (which is surely just A* search or similar) works just fine; the problem is the LLM which uses it.
mary chungās mentioned! i miss mary chungās