Juniors reverting to something even less useful is not a selling point. Often most adoption is forced by bosses. Repo code change metrics tell you all you need to know how well it 'works'.
The economics do not work, not even close. Even if they ever did (probably a decade or so after the bubble pops), all parts of the stack(with the expetion of nvidia, maybe) are interchangeable. Meaning that people can easliy swap out foundation models, nor are creating new wrappers very hard. It will be a race to the bottom, I doubt anyone will make much money.
Last I checked, ycombinator will not fund your start-up if you shill for AI hard enough.
I don't know how realistic only using a benchmark that only uses tight loops and integer operations. Something with hashmaps and strings more realistically represents everyday cpu code in python; most python users offload numeric code to external calls.
they think it is 'due to AI' because it helps push tech stocks; not due to any facts. I also recommend looking at this article's source (https://e-janco.com/career/employmentdata.html?srsltid=AfmBO...), apparently the Janco guys think its going to be be a better year for tech than last year. Trash journalism....
Well, he met Gaston Leval, who wrote about CNT's economic successes within the Spanish civil war/revolution (primarily in the books called "Collectives in the Spanish Revolution" and "Collectives in Aragon"). Anyone who has read those accounts in good faith can not help but seriously consider those ideas as their own.
The economics do not work, not even close. Even if they ever did (probably a decade or so after the bubble pops), all parts of the stack(with the expetion of nvidia, maybe) are interchangeable. Meaning that people can easliy swap out foundation models, nor are creating new wrappers very hard. It will be a race to the bottom, I doubt anyone will make much money.
Last I checked, ycombinator will not fund your start-up if you shill for AI hard enough.