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> The problem with AI-generated content It sounds like the author's main problem with AI answers is that they are purely textual, and the AI is unable to verif
by eterevsky 3y ago
> The problem with AI-generated content
It sounds like the author's main problem with AI answers is that they are purely textual, and the AI is unable to verify them. Does it mean that the stance will change if the AI bot is able to run its code before submitting the answer? Aren't there already AI agents available that can do just that?
- charcircuit 3y agoThe goal of stack exchange is to create a repository of question answer pairs of knowledge. The problem here is that generational AI isn't able to create these new pairs. Either it is regurgitating existing knowledge or it is making up a potential answer. Repeat knowledge in the repository is discouraged and is why questions get marked as duplicate. Making up answers is problematic because it can be hard to verify and it lowers the quality of the repository. An AI being able to run code doesn't mean it is able to verify a solution. Stack Exchange is not about answering people's questions. There can exist a different site for that and for a site like that it could make sense for current LLM to help.
- eterevsky 3y ago> The goal of stack exchange is to create a repository of question answer pairs of knowledge. The problem here is that generational AI isn't able to create these new pairs. I'm not so sure about that. I think we are quite close to an AI being able to put two and two together to create something marginally new. Maybe not an LLM by itself, but with some high-level iterative/recursive process like this: https://arxiv.org/pdf/2305.10601.pdf https://arxiv.org/pdf/2305.10601.pdf. What I'm saying is that no-AI policy maybe made sense in late 2022, but will not necessarily hold in late 2023.