“Only when the last tree has died and the last river been poisoned and the last fish been caught will we realize we cannot eat a machine learning algorithm.” - traditional Native American saying.
Look brother I don’t agree with your lifestyle but I will defend to the death your right to rawdog seventeen other anonymous partners in the local motel 6.
Okay this was a legitimately hilarious attempt at getting under my skin.
Try downvoting some of my old comments, maybe that’ll finally make Elon love you? I’m sure I’ve made fun of Elon before and you need to defend his honor
Edit: lol I think this dude or some other Elon stan actually just went through multiple pages of my past comments and downvoted each one. Oh Elon fans, never change.
I dont have the time for that. But theoretically… someone could write a simple spaghetti code to search for a username and apply downvotes to everything they post say in a 6 month parameter. But you would need at least a 8th or 9th grade education, so i couldnt do that. Either way, elons living your head rent free. Cheers
He’s more than earned the hate and jeering he gets though; he’s a remarkably shitty person even for a reich-wing billionaire and that’s really saying something. And it’s not like it’s just Lemmy, people dunk on him everywhere that’s not a conservative safe space. Plus the fact that his cultists show up almost without fail and are generally as unhinged as he is just makes it more fun
The best trick conservatives have managed to pull is to convince people that everybody is as unhinged, corrupt and immoral as they are. “Both sides” aren’t the same.
there’s one general group of people who want to help feed people and make everyone as happy as possible, one group that just sort of doesn’t care about anything, and one group that genuinely doesn’t seem to understand that other people have feelings and emotions.
In the present research (N = 675), we focus on the relationship between the dark side of human personality and political orientation and extremism, respectively, in the course of a presidential election where the two candidates represent either left-wing or right-wing political policies. Narcissism, Machiavellianism, psychopathy, and everyday sadism were associated with right-wing political orientation, whereas narcissism and psychopathy were associated with political extremism. Moreover, the relationships between personality and right-wing political orientation and extremism, respectively, were relatively independent from each other.
We found eleven significant correlations between conservative [Moral Intuition Survey] judgments and the Dark Triad – [narcissism, Machiavellianism, psychopathy,] all at significance level of p<.00001 – and no significant correlations between liberal [Moral Intuition Survey] judgments and the Dark Triad. We believe that these results raise provocative moral questions about the personality bases of moral judgments. In particular, we propose that because the Short-D3 measures three “dark and antisocial” personality traits, our results raise some prima facie worries about the moral justification of some conservative moral judgments
I ran a follow-up study testing the Dark Triad against conservative and liberal judgments on 15 additional moral issues. The new issues examined include illegal immigration, abortion, the teaching of “intelligent design” in public schools, the use of waterboarding and other “enhanced interrogation techniques” in the war on terrorism, laws defining marriage as the union of one man and one woman, and environmentalism. 1154 participants […] Twenty-two significant correlations were observed between “conservative” judgments and the Dark Triad (all of which were significant past a Bonferonni-corrected significance threshold of p = .0008), compared to seven significant correlations between Dark Triad and “liberal” judgments (only one of which was significant past p = .0008).
This might be happening because of the ‘elegant’ (incredibly hacky) way openai encodes multiple languages into their models. Instead of using all character sets, they use a modulo operator on each character, to make all Unicode characters represented by a small range of values. On the back end, it somehow detects which language is being spoken, and uses that character set for the response. Seeing as the last line seems to be the same mathematical expression as what you asked, my guess is that your equation just happened to perfectly match some sentence that would make sense in the weird language.
Can’t find the exact source–I’m on mobile right now–but the code for the gpt-2 encoder uses a utf-8 to unicode look up table to shrink the vocab size. github.com/openai/gpt-2/blob/master/…/encoder.py
There are bindings in java and c++, but python is the industry standard for AI. The libraries for machine learning are actually written in c++, but use python language bindings. Python doesn’t tend to slow things down since machine learning is gpu-bound anyway. There are also library specific programming languages which urges the user to make pythonic code that can be compiled into c++.
I suppose it’s conceivable that there’s a bug in converting between different representations of Unicode, but I’m not buying and of this “detected which language is being spoken” nonsense or the use of character sets. It would just use Unicode.
The modulo idea makes absolutely no sense, as LLMs use tokens, not characters, and there’s soooooo many tokens. It would make no sense to make those tokens ambiguous.
I completely agree that it’s a stupid way of doing things, but it is how openai reduced the vocab size of gpt-2 & gpt-3. As far as I know–I have only read the comments in the source code– the conversion is done as a preprocessing step. Here’s the code to gpt-2: github.com/openai/gpt-2/blob/master/…/encoder.py I did apparently make a mistake, as the vocab reduction is done through a lut instead of a simple mod.
Hey, Elon (or was it his incestuous pedophile of a father?) said they barely made a few hundred thousand dollars with it (N decades ago, so inflation adjusted that’s probably at least a million). They were practically destitute!
sopuli.xyz
Active