the us largely does not charge for bags directly, they are a consumable that is part of the store’s customer overhead. At cost each bag is around 3 cents, and probably holds 15 to 50 dollars of merchandise that is being sold at around 2% net profit generally.

people often keep the bags and use them for other stuff, like trash bags or plastic linings or makeshift gloves. not everyone does. it’s wasteful, yes, though on net carbon impact it’s probably lower than plastic reusable bags and many plant fabric ones given a plastic industry exists anyway.

us economists are hardly at threat of being disappeared for criticizing the economy

via statistical imitation. other methods, such as solving and implementing by first principles analytically, has not been shown to be np hard. the difference is important but the end result is still no agigpt in the foreseeable and unforeseeable future.

the limitation is specifically using the primary machine learning technique, same one all chatbots use at places claiming to pursue agi, which is statistical imitation, is np-hard.

i dont think you are grasping the absolute scale of cash injection necessary to make llm even appear vaguely tenable as a product.

funnily, the tech to do crypto currencies existed long before they got used for the grift. similarly, the plausible use cases for machine learning will mostly suffer from association with the fad of llms.

They are not, managers only think it is saving them money. All the same current llms are a grift that have no plausible value statement outside of scam markets. Even then the price of their use is both massively subsidized and scales at best exponentially with performance. This cannot last forever.

lol no

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could you expand on that?

read where?

Just going to point out: russian culture doesnt use nazi in the same way we do; largely they dont view nazis as ontologically bad because of the bigotry or the antisemitism or the genocide of many peoples, but because they were an existential threat to russia or russian ethnicities. a lot of the associations westerners have about nazis are just not widespread in russia. this is why there are a lot of seemingly idiosyncratic phrasings in this kind of stuff.

see certain optical illusions in a way that other vision models cannot.

eh… but not in a way that is really like what humans see. which is the articles claim, but it makes a clasically cs approach to nuerology: zero effort to prove the quite substantial claim.

Word soup

that is most certainly not word soup. it’s also an accurate statement, though uncharitable to the authors claims.

Also, the detail in description of their “quantum” inspiration (an effect not unique to quantum mechanics in fact, at that level of description) reads like they skimmed wikipedia’s intro to xyz topic, whether or not the author understands the topics more deeply.

sources?

yeah they may have been the same or worse under a different housing model. or much better, but it seems plausible that this wasnt the worst outcome. a modern implementation in a wealthy society not post war would do a lot better, and probably in this specific sector be better than the market alternative.

So then why dont vegetarians have any options at them? why does “vegan/vegetarian wouldnt accomodate meat” a logical follow on to not accomodating vegetarians at an omnivores bbq?

im sorry do you not have veggies of any kind at your bbqs to make this dichotomy make sense? you’re missing out

“dead game” isnt owned by that movement and it has nothing to do with the article. “oh my bad” would have sufficed, blaming the article for your misinterpretation of the headline is silly

solid old man yells at cloud energy

I don’t know snough about the crowdstrike stuff in particular to have much of an opinion on it in particular, but I will say that software devs/engineers have long skirted py without any of the accountability present n other engineering fields. If software engineers want to be called engineers, and they should, then this may be an excellnt opportunity to introduce acccountability associations and ethics requirements which prevent or reduce company systemic issues and empower se to enforce good practices.