Comment by Jemaclus

My understanding is that the underlying tech is pretty old and well-established. So if you understand those older models, this is old news. A lot of the negativity is basically "yeah, this is old stuff."

But what Jev actually has done that's new and interesting is that it allows you to define a new semantic decision at runtime in natural language, without training a model for that task, and get a fast, cheap, bounded, probability-bearing result designed to be consumed directly by software.

In other words, you don't have to fine tune a model. You should if super high quality is really important to you -- but you should also do that with other things that people reach for LLMs for as well. But for the rest of us for whom good enough is, well, good enough, and who aren't interested in training or fine-tuning models? Jev unlocks a lot off-the-shelf.

You should be impressed. It's doing something more novel than the haters suggest.