probst
Joined 16 years ago
Joined 16 years ago
I really want to love this model, particularly since it's good to have an open weight model on my team so to speak, but I think I might be holding it wrong.
What are you using it for?
On top of that, somewhat unrelated I’ll agree but still, it has support for vim keybindings
My latest life hack which I can recommend to anyone, at least in Germany: as part of my local library membership I get access to the PressReader app, which gives me access to the print edition of the economist! At 10 EUR a year it’s so affordable it nearly feels like it’s unethically so for what I get. I guess I’ll close with: May we forever be blessed with libraries, and may they never be „optimised away“ as an unnecessary social good.
And I totally agree with your thoughts on the criticality and inadequacy of AI replies in such a context! Lack of answers was holding a months worth of income hostage with no real recourse for us other than trying to be loud online. Kind of sad.
Looking at alternative merchant of records now to buy us some optionality.
How will conflict resolution be handled? Or is it a last-write-wins type setup? It would be amazing to have this build on top of automerge or something like that! It could compile to and use the automerge js libs in the browser, and deal with automerge through a NIF server side? Ok, not knowing your implementation and plans, I have to confess I am talking a bit out of my arse here...
What type of ongoing tuning do you do for your model+provider+harness combo, and when do you know it's time to redo it? Or more specifically, when you do the tuning, how do you actually go about doing it?
I am mostly using omp (omp.sh) which is very tunable, and I did some tuning for one of the GLM models in the past (mostly based on vibes because people said it was getting dumb like a brick after some context lengths so I had omp compress sooner).