For those interested in this type of climate data visualization apps, I have worked on this one in the past, which is actively maintained with a lot of love, and very nice:
For "something that is published" (which includes a comment like this) I clearly dislike it too, but for chatting / texting, I realize that I often use it more than my interlocutors, and I'm not sure why. There's a part of lazyness I guess, but also a vague sense of "conveying the impression of a never ending stream of communication", which is closer in my mind to the essence of the chat medium. In French, there is also the additional layer of "using the accents or not".
Very interesting project! I cannot resist mentioning an old project of mine that was made in a very similar spirit, but way before any LLM: wrapping a classic Lone Wolf gamebook around a very crude text parser: https://projectaon.org/staff/christian/gamebook.js
I had written an entire "framework" for it, in JS (so in theory more books could be supported), but it never went anywhere: https://github.com/cjauvin/gamebook.js
Author here: my learning objectives, in order of importance, are: (1) vocal understanding, (2) speaking, (3) reading, and (4) typing and writing (far further). As I explain, I'm mostly bypassing the problem of typing by using screenshots (ChatGPT's OCR capabilities are very good, and Anki works very well with it too).
I've been using ChatGPT to learn Persian (as a third language) for more than a year now (along with a heavy use of Anki), and it's incredibly useful and surprisingly good, for about everything: romanization, OCR from screenshots, deep explanations of complex and subtle stuff, etc.
Counterpoint: I actually really enjoy his style of writing, which I find clear, patient (you must appreciate visual examples and exploration though) and very often challenging and stimulating (recent examples: the posts about the bigger brains, Conway GoL engineering, and biology / evolution). I find he regularly introduces intriguing and useful ideas, like the distinction between "brain-like" computers (which includes neural networks) and more general, Turing-like mechanisms, and I find his overarching concept of computational irreducibility (even though he didn't invent it) quite profound in its implications. I would add that his posts read like an ambitious research program in progress (like a book written one chapter at a time) and that is why I think certain concepts (like ruliology) may appear obscure at first, if you didn't read a lot of stuff that comes before. One tiny nitpick I have: certain language tics, like the constant use of the "And, yes" pattern (he really uses this a lot I wish someone somehow told him).
If you consider this from the angle of Wittgenstein's "language games", you could say that the problem would be "simply" to distinguish between these two, quite different, language games, and act accordingly.
I'm an independent consultant/data scientist, interested and able to work at many locations in a data pipeline: from the app layer to custom processing algorithms (including machine learning stuff).
https://portraits.ouranos.ca/en