I understand the meme and honestly thought you were serious in your comment to the point where I was hoping it to be true and went to look if that was the case.
Yeah I’ve looked into wiki page for “false cognates” after leaving that reply, it would make sense to have a name for a situation where words from different languages sound similar and have similar definitions but are not etymologically related, but according to the wiki false cognates also can be words from the same language and I just don’t see the need to call them false cognates in this case, to my understanding they are called homonyms if they are identical in spelling and pronunciation but differ in etymology/definition, or homophones if they sound the same but are spelled differently. Vsauce made an awesome video on this topic a while ago.
False friends are for translators/interpreters, they are referred to as “translators’ false friends” because people make mistakes when making translations while having insufficient experience, like that example that you give with embarrassed and embarazada
Can you cite that? According to the official statistics the population of the whole region is around 1 032 000 people now and has been around 1 029 000 in 2021, the stats are mirrored in wiki, russian only:
Also “false cognates” seems to be either outdated concept or used here as a term that looks scienc-y to make the idea seem more legit, but in modern linguistics it’s probably just called homonymy and the words are called homonyms. It is also possible for a word to be both homonymous and polysemous but I don’t remember a good example in English. DDG ai summary gave me the word “bank” as an example, but it looks like as a noun it just has different meanings, not two different etymologies, so it’s just polysemy, not homonymy. The shorter the word, the higher the chance it is homonym or has multiple meanings/definitions.
So it doesn’t stop LLMs from data farming but makes it spend more energy on doing so? If that’s the case it sounds like that it’s making things even worse
I was trying to count calories for my soup, some ingredients had calories on the package, but vegies and meat didn’t, so I went to online calculators. None of them were capable of measuring ingredients in grams - I have kitchen scales so can easily weight raw ingredients and put them in the calorie calculator, but all of them measure food in servings instead of concrete number, like what is one serving of my soup? And are the calories for raw ingredient going to be the same after being cooked? The only way to measure calories is to dehydrate it, burn in a special chamber and count the ammount of excluded energy. You can find people onlain making claims like “I’ve eaten 2017 kcals today”, but like how did you measure that 17 kcals with such a precision? The measurements I got from online calculators gave me a 500 kcal range of error, as in a serving of my soup could be 400 kcals or 900 kcal and again those are just estimates made from combining known calories of raw ingredients. Calories are for scientists and experiments, without equipment you can’t actually calculate the calories, just like you can’t really measure how many calories did you burn during the workout, again the range of error is huge, it’s good to keep in mind the calories in calories out idea, but actually measuring them is not for the 99% of thr population
“On the rheology of cats” is the article that studies this phenomenon, please if you don’t trust my link don’t follow it just search the name in quotes from the beginning of the message (you should never trust the links
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https://www.drgoulu.com/wp-content/uploads/2017/09/Rheology-of-cats.pdf
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