- cross-posted to:
- technology@beehaw.org
- technology@lemmy.world
- cross-posted to:
- technology@beehaw.org
- technology@lemmy.world
Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L.
The research—based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments—paints a clear divide between success stories and stalled projects.
A finely refined model based on an actual understanding of physics and not a glorified Markov chain.
To be fair, that also falls under the blanket of AI. It’s just not an LLM.
No, it does not.
A deterministic, narrow algorithm that solves exactly one problem is not an AI. Otherwise Pythagoras would count as AI, or any other mathematical formula for that matter.
Intelligence, even in terms of AI, means being able to solve new problems. An autopilot can’t do anything else than piloting a specific aircraft - and that’s a good thing.
Not sure why you’re getting downvoted. Well, I guess I do. AI marketing has ruined the meaning of the word to the extent that an if statement is “AI”.
Can text generators solve new problems though?
To a certain extent, yes.
ChatGPT was never explicitly trained to produce code or translate text, but it can do it. Not super good, but it manages some reasonable output most of the time.