As someone who was working really hard trying to get my company to be able use some classical ML (with very limited amounts of data), with some knowledge on how AI works, and just generally want to do some cool math stuff at work, being asked incessantly to shove AI into any problem that our execs think are “good sells” and be pressured to think about how we can “use AI” was a terrible feel. They now think my work is insufficient and has been tightening the noose on my team.
Comment on Linus Torvalds reckons AI is ‘90% marketing and 10% reality’
falkerie71@sh.itjust.works 2 weeks agoFor real. Being a software engineer with basic knowledge in ML, I’m just sick of companies from every industry being so desperate to cling onto the hype train they’re willing to label anything with AI, even if it has little or nothing to do with it, just to boost their stock value. I would be so uncomfortable being an employee having to do this.
Mikelius@lemmy.world 2 weeks ago
For sure, it seems like 90% of ai startups are nothing more than front end wrappers for a gpt instance.
dan@upvote.au 2 weeks ago
They’re all built on top of OpenAI which is very unprofitable at the moment. Feels like the whole industry is built on a shaky foundation.
I guess the successful AI startups will eventually transition to self-hosted models like Llama, if they survive that long.
Zos_Kia@lemmynsfw.com 2 weeks ago
Most projects I’ve been in contact with are very aware of that fact. That’s why telemetry is so big right now. Everybody is building datasets in the hopes of fine tuning smaller, cheaper models once they have enough good quality data.
xavier666@lemm.ee 2 weeks ago
My company is realizing that hosting a model which will be private, cost-effective, and performing better than traditional algorithms is like finding a unicorn. Few months back, the top execs were jumping around GenAI like a bunch of kids. Fortunately, the Sr. research head beat some sense into them.