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.
More and more urban centers are banning cars in their cores. Especially older cities built before the automobile existed.
An analog might be the push for banning phones in schools. Setting apart times and spaces where serendipitous human interactions are encouraged by the lack of distractions.
I think he is to pesimistic, a tool is a tool and if AI progresses without hitting a ceilling, i will see a potential future of a society which might explore space.
Musks SpaceX Keynote was ridiculous, don't get me wrong, but we will be able to see AI progress in the next 5 years which will give us some kind of gut feeling were the journey can go.
Also AI solves another problem: Compute. It was clear that we want some kind of compute but its like with 4k; We have 4k for ages now but it is not the default resolution on all displays sold. We stoped pushing the boundaries because invest is not here. People do not bother too much with it.
With AI and the richest companies and people want to see what happens, pushes the envolope a lot faster, pushes us to find solutions.
This AI Compute based on ML/Neuroal Networks can also be used for physics simulation, protein folding, and everything else.
Stoping technology is not an option and not a solution. Education is. We need to educate people.
> Just because a technology can be useful doesn't mean it will have positive effects on society.
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.