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If it's ad-supported or I'm seeking donations, I only want people reading it on my website. Why would I want people to access it through an LLM?

His notes, of course, were assembled by his producers, based on the notes & writing of those academics (and others, I'm sure, thus the weekly reading list). He sometimes made reference to this, saying things like "Well you said it in your notes; what did you mean?"

A nontrivial plot point in Kim Stanley Robinson's "Green Mars" (1993)


Wow, why don't I remember that. Guess it's time to pull that down off the shelf again.


There are still paleontologists [who?](I do not know; I'm sorry) who would like to substantially credit the Deccan Traps; this appears to be adding stronger analysis to the evidence that it really was the meteor impact.


I like the idea that the Deccan Traps were caused by the meteor, being roughly on the opposite side of the earth so a spreading circular shock wave would come to a focal point on the other side of the globe. I'm not sure the dates quite match but who knows.


Degrowth and "Maybe this uses too much electricity" are not the same thing, particularly when a nontrivial portion of US generation is fossil-fuel based.

As for the breakthroughs, maybe they will, maybe they won't; it's not much of an argument.


> I cynically think this was OpenAI’s aim when they made ChatGPT free for students

Is there any interpretation that makes sense _other_ than this?


It's only free for two months. I'm surprised they don't offer a similar free trial for everyone.


There are all sorts of stereotypes about frugal students which have truth, but simultaneously, the education market is in some respects a cash cow. Look at tuition costs, or the cost of textbooks. If they're already spending a lot of largely loaned money for education, I guess charging students and having them think it's an education tool gets them some revenue.


Do they not use saws?


They actually use mostly chisels, but my point is that every cut in every structural member is done custom by hand at the warehouse in advance. i.e. where tooling is most flexible


How does it identify what's vague?


Many ways. 1) Hire some humans to label the data. 2) Let the user give you feedback. 3) Ask another LLM.


Or we could acknowledge that something could be a bad idea, despite its utility


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