vorticalbox

Has anyone tried training a diffusion model for speed ?

not sure if you will see this but i see what you mean. i have been using it the last few days there is just something about thats just "nice". its not the fastest on my m4.

Just tried this on sonnet, it believes the developer documentation actually publish these as a way for developers to test refusals.

After checking the document it doesn’t publish or even mention these.

Is this was xai isn’t winning because they still use numbers for grok releases?

Yes this has been very useful for me this week. I trapped my middle finger on my right hand in a door and it really messed up my typing.

I tried using dictation but I really disliked speaking to it.

You can write a really messed up sentence and it almost always worked out what I meant.

Quite amazing actually

If I remember correctly I read a paper a few years ago that tested this with people learning piano.

The control just did their lesson and the second after the lesson sat and just imagined them playing what they learned no finger movement allowed just thinking.

The second group over all learned faster.

Could this not have just been a skill?

I downloaded Muse today actually to try too. Seem it said a few times on here that’s it’s good.

been playing with LFM2.5-24B-A2B on my m4 mac, 700-900 prefill and 60 t/s in generation, its doing pretty well writing some python scripts for me.

I assume your still verifying that opus is correct?

In which case congratulations you’ve just been promoted to manager with no pay increase!

Joking aside Ai is doing a large chunk of my job but all it’s done is shifted what I actually spend time on.

It’s not really saved any man hours.

Are there plans to release the detector?

I didn’t wonder why the bench marks were done in medium. The medium pelican is better than the high.

Maybe reasoning negatively effects the output after medium.