Does this need to be marked NSFW? I think the joke about tagging the more serious posts that way ran its course a while ago, and we haven't been sticking to it.
SneerClub
Hurling ordure at the TREACLES, especially those closely related to LessWrong.
AI-Industrial-Complex grift is fine as long as it sufficiently relates to the AI doom from the TREACLES. (Though TechTakes may be more suitable.)
This is sneer club, not debate club. Unless it's amusing debate.
[Especially don't debate the race scientists, if any sneak in - we ban and delete them as unsuitable for the server.]
See our twin at Reddit
think there was a mod note a while ago (@dgerard? I think?) that nsfw was no longer required
I tagged it NSFW because the previous thread was tagged NSFW.
The reanimation of pseudoscience in machine learning and its ethical repercussions (pdf link, open-access) is a wonderful take down of the epistemic abuses widespread in much of ML/AI.
For an exposition of Bayesian probability by people who actually know math, there's Ten Great Ideas About Chance by Persi Diaconis and Brian Skyrms (Princeton University Press, 2018). And for an interesting slice of the history of the subject, there's Cheryl Misak's Frank Ramsey: A Sheer Excess of Powers (Oxford University Press, 2020).
For quantum physics, one recent offering is Barton Zwiebach's Mastering Quantum Mechanics: Essentials, Theory, and Applications (MIT Press, 2022). I like the writing style and the structure of it, particularly how it revisits the same topics at escalating levels of sophistication. (I'd skip the Elitzur-Vaidman "bomb tester" thought experiment for reasons.)
be like me and read the critique of pure reason and pierre bourdieu's distinction, you'll be ready for anything forever
The description of "The questions ChatGPT shouldn't answer" doesn't seem to go with the text. Did you mean to link something else?
I didn't mean to link something else, I just mangled my description. Thanks for catching it.
The Wikibooks book on statistics is surprisingly decent. Hopefully it inspires the reader to acknowledge that there are a lot more things to study apart from Bayes.