It means you are not representative of humanity as a whole. You are likely in a small minority of people on an extreme of the personality spectrum. Any attempts to glibly dismiss critiques of AI with a phrase equivalent to "well I hate people" should be glibly dismissed in turn.
Maybe let's try to rectify the discussion. I think that current generation of LLMs displays astounding similarity to human behaviour. I'm not trying to dismiss issues with LLMs, I'm trying to point out the practicality of treating LLMs as awkward humans rather than programs.
Yes, I hate people. But usually whenever there's a critique of LLMs, I can find a parallel issue in people. The extension is that "if people can produce economic value despite their flaws, then so do LLMs, because the flaws are very similar at their core". I feel like HackerNews discussions keep circling around "LLMs bad", which gets very tiresome very fast. I wish there was more enthusiasm. Sure, LLMs have a lot of problems, but they also solve a lot of them too.
It's the dissonance between endless critique of AI on one hand and evergrowing ubiquity on the other. Feels like talking to my dad who refuses to use a GPS and always takes paper maps, and doesn't see the fact that he always arrives late, and keeps citing that one woman who rode into a lake when following GPS.
The problem is one of negative polarization. I found myself skeptical of a lot of the claims around LLMs, but was annoyed by AI critics forming an angry mob anytime AI was used for anything. However, I still considered myself in that camp, and ended up far more annoyed by AI boosterism than AI skepticism, which pushed me in the direction of being even more negative about AI than I started. It's the mirror of what happened to you, as far as I can tell. And I'm sure both are very common, though admitting it makes one seem reactive rather than rational and so we don't talk about it.
However, I do dispute your central claim that the issues with LLMs parallel the issues with people. I think that's a very dehumanizing and self-defeating perspective. The only ethical system that is rational is one in which humans have more than instrumental value to each other.
So when critics divide LLMs and humans, sure, there is a descriptive element of trying to be precise about what human thought is, and how it is different than LLMs, etc. But there is also a prescriptive argument that people are embarrassed to make, which is that human beings have to be afforded a certain kind of dignity and there is no reason to extend that to an LLM based on everything we understand about how they function. So if a person screws up your order at a restaurant, or your coworker makes a mistake when coding, you should treat them with charitability and empathy.
I'm sure this sounds silly to you, but it shouldn't. The bedrock of the Enlightenment project was that scientific inquiry would lead to human flourishing. That's humanism. If we've somehow strayed so far from that, such that appeals to human dignity don't make sense anymore, I don't know what to say.
It means you are not representative of humanity as a whole. You are likely in a small minority of people on an extreme of the personality spectrum. Any attempts to glibly dismiss critiques of AI with a phrase equivalent to "well I hate people" should be glibly dismissed in turn.
Maybe let's try to rectify the discussion. I think that current generation of LLMs displays astounding similarity to human behaviour. I'm not trying to dismiss issues with LLMs, I'm trying to point out the practicality of treating LLMs as awkward humans rather than programs.
Yes, I hate people. But usually whenever there's a critique of LLMs, I can find a parallel issue in people. The extension is that "if people can produce economic value despite their flaws, then so do LLMs, because the flaws are very similar at their core". I feel like HackerNews discussions keep circling around "LLMs bad", which gets very tiresome very fast. I wish there was more enthusiasm. Sure, LLMs have a lot of problems, but they also solve a lot of them too.
It's the dissonance between endless critique of AI on one hand and evergrowing ubiquity on the other. Feels like talking to my dad who refuses to use a GPS and always takes paper maps, and doesn't see the fact that he always arrives late, and keeps citing that one woman who rode into a lake when following GPS.
The problem is one of negative polarization. I found myself skeptical of a lot of the claims around LLMs, but was annoyed by AI critics forming an angry mob anytime AI was used for anything. However, I still considered myself in that camp, and ended up far more annoyed by AI boosterism than AI skepticism, which pushed me in the direction of being even more negative about AI than I started. It's the mirror of what happened to you, as far as I can tell. And I'm sure both are very common, though admitting it makes one seem reactive rather than rational and so we don't talk about it.
However, I do dispute your central claim that the issues with LLMs parallel the issues with people. I think that's a very dehumanizing and self-defeating perspective. The only ethical system that is rational is one in which humans have more than instrumental value to each other.
So when critics divide LLMs and humans, sure, there is a descriptive element of trying to be precise about what human thought is, and how it is different than LLMs, etc. But there is also a prescriptive argument that people are embarrassed to make, which is that human beings have to be afforded a certain kind of dignity and there is no reason to extend that to an LLM based on everything we understand about how they function. So if a person screws up your order at a restaurant, or your coworker makes a mistake when coding, you should treat them with charitability and empathy.
I'm sure this sounds silly to you, but it shouldn't. The bedrock of the Enlightenment project was that scientific inquiry would lead to human flourishing. That's humanism. If we've somehow strayed so far from that, such that appeals to human dignity don't make sense anymore, I don't know what to say.
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