> These open models still did not beat February's Mythos / Fable 5.
On what task? By who? On what benchmark? How do you measure in you own workflow the “betterness” or “more goodness” of these or any models? If you don’t say those things you’re just writing a bad ad copy.
> It's plausible that open models are 6 - 12 months behind, and there is no "good enough".
Anecdotally, a lot of people - including myself - seem to really notice much difference between the model now or six months ago. So there really seems to be good enough. It depends on the task you use them for and how you measure the output. For most tasks you really do not need frontier capability. Also how do we know how much of these “big improvements” come from the harness and tooling rather than the raw capability of the model?
On what task? By who? On what benchmark? How do you measure in you own workflow the “betterness” or “more goodness” of these or any models? If you don’t say those things you’re just writing a bad ad copy.
> It's plausible that open models are 6 - 12 months behind, and there is no "good enough".
Anecdotally, a lot of people - including myself - seem to really notice much difference between the model now or six months ago. So there really seems to be good enough. It depends on the task you use them for and how you measure the output. For most tasks you really do not need frontier capability. Also how do we know how much of these “big improvements” come from the harness and tooling rather than the raw capability of the model?