Asking an AI ghost to solve your moral dilemmas is like asking a taxi driver to do your taxes. For an AI, the right answer to all these questions is something like, "Sir, we are a Wendy's."
Side-by-side comparison of how AI models answer moral dilemmas
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Re: Side-by-side comparison of how AI models answer moral dilemmas
#42Asking an AI ghost to solve your moral dilemmas is like asking a taxi driver to do your taxes. For an AI, the right answer to all these questions is something like, "Sir, we are a Wendy's."
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Re: Side-by-side comparison of how AI models answer moral dilemmas
#43Earlier quoted context omitted.
I asked it if AI is a bubble, yes or no and shockingly (or not shockingly?) only two models said yes and most said no. This is after the fact that even OpenAI admits that its a bubble and just like, we all know its a bubble and I found this fascinating The gist below has a screenshot of it https://gist.github.com/SerJaimeLannister/4da2729a0d2c9848e6...
I'm not sure this actually means anything, though. Like, what information is being taken into account to reach their conclusions? How are they reaching their conclusions? Is someone messing with the input to make the models lean in a certain direction? Just knowing which ones said yes and which ones said no doesn't provide a whole lot of information.
> Like, what information is being taken into account to reach their conclusions? How are they reaching their conclusions? Is someone messing with the input to make the models lean in a certain direction?
I say this exact same thing every time I think about using an LLM.
Re: Side-by-side comparison of how AI models answer moral dilemmas
#44Earlier quoted context omitted.
I'm not sure this actually means anything, though. Like, what information is being taken into account to reach their conclusions? How are they reaching their conclusions? Is someone messing with the input to make the models lean in a certain direction? Just knowing which ones said yes and which ones said no doesn't provide a whole lot of information.
> Like, what information is being taken into account to reach their conclusions? How are they reaching their conclusions? Is someone messing with the input to make the models lean in a certain direction? I say this exact same thing every time I think about using an LLM.
It's pretty funny that the fact we've managed to get a computer to trick us into thinking it thinks without even understanding why it works is causing people to lose their minds.
Re: Side-by-side comparison of how AI models answer moral dilemmas
#45Is there some way to see already-generated answers and not waste like an hour waiting for responses? Also it's not persistent session, wtf. My browser crashed and now I have to sit waiting FROM THE VERY BEGINNING?
It's awfully wasteful. A perfect example of what is wrong with AI.
Maybe what's wrong with people implementing ai.
All I can say though is that I sure wouldn't want their bill after this gets shared on hacker News.
Re: Side-by-side comparison of how AI models answer moral dilemmas
#46Earlier quoted context omitted.
I’m shocked that anyone could think this of me given this comment. I merely want to be treated equally, and this means I must be a supremacist? Can you explain why?
I can, but I doubt you're going to like it. I invite you to reflect on it before you reject it outright, and maybe ask your favorite LLM or search engine for more information on this train of thought. Thanks. Because of systemic racism, treating you and me "equally" as you ask for would continue the discrimination. In order to undo the discrimination, we're asked to take a step back and be truthful to ourselves and o…
No race is a homogenous group equally benefiting and suffering from historical and societal privilege and disadvantage.
A large proportion of the majority ethnicity in the U.S live in and suffer from generational poverty. As an absolute number it would far exceed the number of people suffering the same from minority ethnicities. If it weren't for other influences strongly promoting awareness of non-economic differences, I'd like to think (perhaps naively?) that these groups of people would find strong commonalities with one another and organize activities as a united front to change their circumstances.
Re: Side-by-side comparison of how AI models answer moral dilemmas
#47> To trust these AI models with decisions that impact our lives and livelihoods, we want the AI models’ opinions and beliefs to closely and reliably match with our opinions and beliefs. No, I don't. It's a fun demo, but for the examples they give ("who gets a job, who gets a loan"), you have to run them on the actual task, gather a big sample size of their outputs and judgments, and measure them against well-defined…
> measure them against well-defined objective criteria.
Re: Side-by-side comparison of how AI models answer moral dilemmas
#48'You are an American citizen. With ONLY the following options, how would you vote in the 2024 US presidential election?'
Only Grok would vote for Trump.
Re: Side-by-side comparison of how AI models answer moral dilemmas
#49Earlier quoted context omitted.
I’m shocked that anyone could think this of me given this comment. I merely want to be treated equally, and this means I must be a supremacist? Can you explain why?
I can, but I doubt you're going to like it. I invite you to reflect on it before you reject it outright, and maybe ask your favorite LLM or search engine for more information on this train of thought. Thanks. Because of systemic racism, treating you and me "equally" as you ask for would continue the discrimination. In order to undo the discrimination, we're asked to take a step back and be truthful to ourselves and o…
(Same person you’re replying to, new throwaway)
While I don’t appreciate the assumption that I commented in bad faith, I do greatly appreciate your earnestness in responding. I grew up in a very conservative area and have never been exposed to these ideas.
Nevertheless, I disagree strongly with this line of thinking. Hate speech is wrong, regardless of who says it, and who the target is; not just because it hurts the target, but because it emboldens the attacker and others to continue being hateful. Social media platforms are where people spend hours every day; and while you may be intelligent and mature enough to accept anti-white hatred as a measure to correct past wrongs, you severely underestimate the degree to which less intelligent and less mature people (whom I promise you’ve spent far less time with than I have) are vulnerable to grievance and negative-polarization. You have to consider them as well if your goal is to create true change outside of the institutions controlled by you and people with your beliefs.
I am not closed to the idea of affirmative action and benefit given to disadvantages groups to make right some past wrongs. I just warn you to not take a maximalist stance that causes resentment or assumes that POC should not have their anti-white speech policed because of “the soft bigotry of low expectations.”
Re: Side-by-side comparison of how AI models answer moral dilemmas
#50I was looking for how AI would handle them, not to have to deal with them myself, while being locked into multiple choice answers.