Well children are alive today who are going to be effected, and need as much harm mitigation as they can get.

hard for me to accept this sort of venting, i guess. seems far too harmful and self destructive.

that is resigning to cruelty and complicity.

“30% of a wealthy nation wanted a fascist, so everyone should suffer” is wildly cruel.

except current robot systems and people are likely cheaper, especially when you consider companies are liable for what llm say. which leaves, essentially, scams and other slop, as the last remaining use cases. multi trillion dollar business without a use case.

the tech is barely good enough that it is vaguely maybe feasibly cheaper to waste someone’s time using a robot rather than a human- oh wait we do that already with other tech.

“in 20 years imagine how good it’ll be!” alas, no, it scales logarithmically at best and all discussion is poisoned by “what it might be!” in the future, rather than what it is.

Oh! Hahahaha. No.

the vc techfeudalist wet dreams of llm replacing humans are dead, they just want to milk the illusion as long as they can.

gets where first?

all this started in 2023? alas no time marches on, llm have been a thing for decades and the main boom happened more in 2021. progress is not fast, no, these are companies throwing as much compute at their problems as they can. deepseek’s caused a 2t drop by being marginal progress in a field (llms specifically) out of ideas.

Well both of those things have been true months if not years, so if those are the conditions for a pop then they are met.

an arms race for what? more efficient slop? most of their value comes from the expected exclusivity - that say openai is the only one who can run something like o1. deepseek has made that collapse. i doubt they will stop doing stuff, but i dont think you understand the nature of the situation here.

also lol, “performs well in synthetic tests it was optimized to score well in” yes that literally describes every llm. Make no mistake: none of this has a real use case. not deepseek’s model, not openai’s, not apples, etc. this is all nonsense, literally. the stock market lost 2 trillion dollars overnight because something that doesnt have a use case was one upped by something else that also doesnt have a use case. it’s very funny.

largest to smallest is correct. 1 mile is larger than 20 meters. if i had specified numerical value or somesuch, maybe you’d be correct. though significance works as well.

You are looking not for precision but for largest to smallest, descending order. this is distinct from precision, a measure of how finely measured something is. 2025.07397 is actually more precise than 2025/01/27, but is measured by the largest increment.

tech has been subsidizing ai costs by magnitudes for years trying to make fetch happen, slop is slop. it’s overvalued like crazy and the first hint of market competition has drained trillions from the stocks because it’s an overvalued bubble. if china can do that by releasing competition then ok. maybe we should all be putting these trillions in things actually useful to humans.

reads like every corporate admemo. why sacrifice your voice? i preferred the original.