Comment by quijoteuniv
15 hours ago
A bit of hype in the AI wording here. This could be called a chip with hardcoded logic obtained with machine learning
15 hours ago
A bit of hype in the AI wording here. This could be called a chip with hardcoded logic obtained with machine learning
AI is not a new thing, and machine learned logic definitely counts as AI.
For those that have experience with ML, yes. For those that have recently become acquainted with it (more on business side) they seem to really struggle with this in my experience. '
Yeah, and don’t forget Eliza!
ML is part of AI, and has always been. AI is not equal to chatgpt and AI wasn't coined/conceived in November 2022.
Is a LLM logic in weights derived from machine learning?
Well, yes. That's literally what it is.
What what is? The article has nothing to do with LLMs. It even explicitly says they don’t use LLMs.
1 reply →
Good one… but Is a DB query filter AI? I forgot to say though is sounds like a really cool thing to do
Strictly speaking, expert systems are AI as well, as in, an expert comes up with a bunch of if/else rules. So yes technically speaking even if they didn’t acquire the weights using ML and hand-coded them, it could still be called AI.
3 replies →
Calling it "AI" is marketing sugar. It is closer to an inference-only state machine where gradient descent did the wiring instead of an engineer, and the annoying part is that once the detector setup or noise profile moves, retraining and redeploy stop being normal ML chores and turn into hardware respins, validation, and a lot of waiting. That distinction stops sounding pedantic the first time a bug fix means touching silicon instead of pushing to a repo.