| This is a must-read series of articles, and I think Kyle is very much correct. The comparison to the adoption of automobiles is apt, and something I've thought about before as well. Just because a technology can be useful doesn't mean it will have positive effects on society. That said, I'm more open to using LLMs in constrained scenarios, in cases where they're an appropriate tool for the job and the downsides can be reasonably mitigated. The equivalent position in 1920 would not be telling individuals "don't ever drive a car," but rather extrapolating critically about the negative social and environmental effects (many of which were predictable) and preventing the worst outcomes via policy. But this requires understanding the actual limits and possibilities of the technology. In my opinion, it's important for technologists who actually see the downsides to stay aware and involved, and even be experts and leaders in the field. I want to be in a position to say "no" to the worst excesses of AI, from a position of credible authority. |
You say it in a way that it sounds like automobiles don't have a positive effect. I don't agree - they have some negative effects but overall they have a vast net positive effect for everyone.