Regarding LLMs specifically, my view is that the current state of LLM-based AI is leading us more towards '"write" our thoughts "in water"', because
* what we write to LLMs does not catalyze a transformation in understanding of them as systems, nor drive them to evolve in a sustainable way towards truth,
* and their outputs are the result of potent patterns in the turbulence of humanity's discourse, rather than an understanding or systematization that could "teach the truth adequately to others"
While I think their potency cannot be questioned, their sustainability and correctness certainly can be. IMO, AI in the vein of theorem provers and semantic webs are much more in line with a text that can actually speak back with integrity and genuine responsiveness, "teaching truth adequately". But I also guess
* the LLM profusion will likely catalyze some important developments and advances in those other approaches (and some use of LLMs will persist even after advances on a difference basis take over) and
* probabilistic methods are here to stay and will likely be more integrated into symbolic systems and
* we are at real risk of totally loosing the plot, or perhaps reenacting the plot of [Echo and Narcissus](https://en.wikipedia.org/wiki/Echo_and_Narcissus#Story), and seeing the warning of utter thoughtless wrought by irresponsible writing (as claimed in https://hedgehogreview.com/web-features/thr/posts/platos-war...)