Will progress in artificial intelligence continue to accelerate, or have we already hit a plateau? Computer scientist Jennifer Golbeck interrogates some of the most high-profile claims about the promises and pitfalls of AI, cutting through the hype to clarify what’s worth getting excited about — and what isn’t.
We all want progress. But progress means getting nearer to the place where you want to be. And if you have taken a wrong turning then to go forward does not get you any nearer. If you are on the wrong road progress means doing an about-turn and walking back to the right road
horse_battery_staple@lemmy.world 2 hours ago
YES
The transforms these LLMs are built on are not as efficient as they are novel. Without repeatability there won’t be any kind of self learning so a next step in AI won’t work.