If you #hateAi put a minimum effort into learning the basics...
Least you sound like the Woods folk
...unless you're happy in just talking about fierce monster Ai's around bonfires to other Wood folk.
"#LLM creates dependency on commercial inference providers, who can cut you off at any time ("first hit is free" etc)"
Yeah, true, if the only time you tried 'chatbot' was V3.0, you decided it's crap, and swore a bloodoath to never use a clanker again.
Today, 30 Billion parameter free local model is entirely comparable to a commercial one for code development.
And this one is just plain dumb, harking back to 'spicy autocomplete'
"people use it as a substitute for actual experts, despite it not being an expert in anything and instead a mere token predictor"
The thing about 'mere token predictors' is that's exactly what expertise IN A NARROW KNOWLEDGE DOMAIN IS!!!
This is why inference engines are so good at coding, because ITS ALL NEXT TOKEN PREDICTOR...
...and let's not talk about #ZeroShot knowledge because that destroys the whole "stochastic parrot" narrative.
👉 The thing about criticising #Ai is you have to put the effort in to stay current.
It is the fastest growing tech in history. If you have an anthropic test string in your bio, or you're still on the 'r' in strawberry page, you're advertising your intellectual incuriosity.
In a field where last Tuesday is now ancient history, regurgitating old arguments where new ones pop up every week is a disservice to your cause.
The Butlerian Jihadists need to do their homework or risk losing credibility
#regulateai #aieducation #aipolicy #aithreats #localmodels