this post was submitted on 08 Dec 2024
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This is exactly how we use LLMs at work... LLM is trained on our work data so it can answer questions about meeting notes from 5 years ago or something. There are a few geniunely helpful use cases like this amongst a sea of hype and mania. I wish lemmy would understand this instead of having just a blanket policy of hate on everything AI
the spotify thing is so stupid... There is simply no use case here for AI. Just spit back some numbers from my listening history like in the past. No need to have AI commentary and hallucination
The even more infuriating part of all this is that i can think of ways that AI/ML (not necesarily LLMs) could actually be really useful for spotify. Like tagging genres, styles, instruments, etc.... "Spotify, find me all songs by X with Y instrument in them..."
This is to me what its useful for. So much reinventing the wheel at places but if the proper information could be found quickly enough then we could use a wheel we already have.
The problem is that the actual use cases (which are still incredibly unreliable) don't justify even 1% of the investment or energy usage the market is spending on them. (Also, as you mentioned, there are actual approaches that are useful that aren't LLMs that are being starved by the stupid attempt at a magic bullet.)
It's hard to be positive about a simple, moderately useful technology when every person making money from it is lying through their teeth.