The exact message I sent my friend this morning:

> the most interesting thing about this jev stuff

> is that people are seemingly like

> completely disinterested in how smart it actually is

> I haven't even heard it mentioned a single time how it actually compares to other LLMs coming up with their own classifications. Just: it's fast and cheap

After watching a few minutes of this it makes me think that maybe we should be a little more interested in how smart it is.

There is a lot of room for a lot of different models. For many use cases, intelligence beats out all.

For me in my day job, having extremely fast low quality decision makers over noisy inputs is very valuable. I work in security and having something that can help triage alerts, classify items and group things together is extremely valuable. It doesn't need to be perfect. Just being able to take a set of inputs from deterministic tooling and to be make general priority classifications goes a long way on helping humans look at the most important items first.

Because it's not that smart especially when you compare it to other LLMs. The top LLMs have completely change the baseline of being smart.

They know it's not. The company actually has or had public statements that they didn't like public benchmarks for comparison.

My main wonder is the difference between it and having a small llm no thinking output a single number only as a choice. Isn't that nearly the same here?