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Did you read the body of this post?

> The runtime platform for autonomous software

Well, at least they were honest I suppose


"wait, not THAT autonomous software!"

Slop

2020 called, it wants its HN comment back


This seems like cope to me.

Humans have a bias towards assuming that problems have solutions. Mathematicians probably more than average.

This talk is predicated on the theory that the problem of "maintaining the relevance of humans in mathematics" is tractable. Not sure I agree


gimmick


Not sure I agree with this. It's often true in SF, but that is largely an affectation, people imitating people like Peter Thiel etc. But not as true elsewhere


In medicine you want the doctor who's willing to admit "we don't understand the exact mechanism here" + also who wants more details from you before making a decision, vs confidently brushing you off and writing a prescription as fast as possible.

Lawyers will usually give much less-certain answers to questions like "is it legal to do X" than lay people as well because they're aware of much more nuance in the law. (Not referring to the wishy-washy corporate-law answers given to avoid liability here, but in outside convo about issues.)


The creator of Lanyrd replied to another comment elsewhere on this page


Has any research been done to try and determine the percentage of the population that are able to detect obvious LLM-generated text?


Interesting question for sure, but for now the writing is just bad. So people might not know it's LLM prose, they just notice its poorly written and engage with the ideas less


majority of population dont read anything at all. Most they a read is perhaps labels and signs at a supermarket.


I think there's probably a large chunk who "read" Facebook and skim the linked articles poorly.


People are still on facebook?


> obvious

Who decide what is obvious or not?


(1) complexity

(2) performance


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