this post was submitted on 05 May 2026
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What's a common "fact" that's spread around that's actually not true and pisses you off that too many people believe it?

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[–] Tollana1234567@lemmy.today 4 points 1 month ago* (last edited 1 month ago) (1 children)

"survival of fittest "was not coined by DARWIN, it was by herbert who co-opt his research.

Chronic lyme does not exist as a disease, and its coined by non-scientist which has snowballed into a large industry(providing questionable testing, LYME DOCTORA) by providing services that is equivalent to pseudoscience AND Belief its in more than 1 country, eventhough its mostly found deer ticks in americas, and not ANY TICK species. people actually went a little crazy with the Rx. basically people have what psyches called, delusional parasitosis, or psychosomatic disorders, i visited these forums and it seems alot of these people have mental illness+ they long term damage from using supplements and plant extracts that are likely somewhat toxic. seems pervasive in the midwest, and what a surprise chronic use of antibiotics from these "lyme doctors" also have cause long term damage. and this pairs with homeopathy/naturopathy/alternative medication.

Most MSMs prior to trumps 2nd or 1st term is not "liberal leftist" media, none existed for decades. the only 1 i see was a podcast/on a obscure channel and time Demcry now! is the closest thing to be talking even something remotely "left". every other just fawns over "Fallen soldiers" even cnn did often, plus its significant amount of copaganda show.

also recently the artemis launch is , and the cold war launches are wildly still believed by asians as faked, and done in by studio. the most common excuse is why "is there wind in space, because the flag is "flapping"...etc. i was actually surprised older asians still widely believe it. during 2019, and currently to.

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[–] dream_weasel@sh.itjust.works 3 points 1 month ago* (last edited 1 month ago) (9 children)

AI/llm is just a statistical word predictor.

You could perhaps make the argument that it's a statistical token predictor, but that is about as useful as boiling down various weather services as "just statistics" or the economy as "just statistics".

Making a language model that speaks a language is not that hard, but the world of science underlying how this is done is anything but simple. Saying it's just statistics is ridiculously reductive like saying your response to this comment is just chemistry. Context driven tokenization, byte level byte pair encoding, RoBERTa, fine tuning methods, direct preference optimization, dataset curation and management, and curriculum learning for targeted performance and memory are things that are being developed and refined very fast (like weekly or monthly breakthroughs sometimes) and with pretty staggering performance increases. It still is not for everyone because power tools injure, but instead of saying "just a statistics engine" say what you really mean "I don't understand it, but I believe XXX is a bad use case for LLMs."

To a lesser extent that any company is "programming AI". Not in the way that you mean it; curriculum learning, guard rails, and fine running are all extremely indirect. Nobody had their hands specifically in a model's parameter space directly.

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