The ol’ “philosophy is just applied history, history is just applied psychology, psychology is just applied biology, biology is just applied chemistry, chemistry is just applied physics, physics is just applied mathematics, mathematics is just applied philosophy.”
Which I saw as graffiti in a university bathroom back in Ye Olden Days and has stuck with me ever since.
The only areas of machine learning that I expect to live up to the hype are in areas, where somewhat noisy input and output doesn’t ruin the usability, like image and audio processing and generation, or where you have to validate the output anyway, like the automated copy-paste from stackexchange. Anything that requires actual specifity and factuality straight from the output, like the language models attempting to replace search engines (or worse, professional analysis), will for the foreseeable future be tainted with hallucinations and misinformation.
Man i dont know. I had an introductery lecture into ML and we were told of some kernel stuff, where you look at a space that could be infinite dimensional and that you do some math to project into low dimensional feature space, where your seperation still works because of your kernel function.
That isnt some black box art form, that is clearly black magic.
A lot of those academic “printed on demand” books are like this, too. Very annoying. Yea they’re out of print and old library physical copies cost over $100, but the “new” ones always look like this but faded instead of over saturated.
While the picture of the PCB is just blurry enough to be virtually illegible, it should also be a black-and-white photocopy of 13th generation for maximum effect.
Well obviously. We’d smell the onions if they were just inside of our noses and all around us in crowds. It must be a gourd or something with a lower scent profile.
I mean technically it’s not in your heart. It’s the arteries that gets filed with cholesterol plaques. You die due to the lack of blood in your heart which is ironically causing a bigger void that causes you to die.
science_memes
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