alt Hacker News> It may be that it turns out LLMs lack some fundamental level of judgement and it plateaus
All intelligence, LLM or not, is bound to plateau around the point where the need to operate within physical reality bottlenecks the speed of feedback. AI is progressing swiftly in the digital realm where feedback is nearly instantaneous, but it's unclear whether that would translate into improvements in the physical world where signals are much noisier and intelligence and judgment are less impactful.
Our tried-and-true approach for when the physical world is causing us trouble, is to remake the physical world to be easier to work with.
My go-to example: wheels suck at mobility in the natural world. There's a reason no animal uses wheels as their means of locomotion. They only really work on flat, hard surfaces that give a good grip.
Our solution? We didn't build mechanical legs for all-terrain mobility. We paved the world instead. Dirt roads, then brick roads, then asphalt and concrete - since ancient history, we were forcing the world to adapt, so the one means of mobility we could easily built was effective.
We repeat this pattern every time when the world doesn't agree with us, and adapting ourselves to it is too much of a hassle.
Now, AI will likely adopt the same approach to these kinds of problems, which may not end up very nicely for us.
(Note: we are already adapting our own digital worlds to make them easier for AI. Much like building roads for our wheels, we now have a resurgence of CLI, with new tools exposing high-level operations optimized for agents - not humans - to use comfortably.)