One of mine loves to nap on top of my case when I'm gaming. Unfortunately, the power button is on the top edge, so she has turned it off more than once while I was in the middle of a game >.<

AlphaFold and RosettaFold are deep learning models and are the state of the art in protein folding. That's one area where the tech has actually delivered. Of course, they're trained on protein structures, not just ChatGPT with a specific prompt.

Congratulations! 🎉

I really appreciate your alt text! They make me appreciate details that I would have missed otherwise, and show care. Thank you for writing them.

If you have a good reference for this, I'd love to read up on it!

Doesn't KEDA still use the standard k8s HPA under the hood? How do you adjust the scaling factor that way? Do you manipulate the queued time metric before passing it through?

Toll! Dann kann ich auch üben.

How do you prevent massive over scaling when you don't have enough capacity? I find queue time grows very quickly in those cases, even if you only need 1 extra worker. Are you just very conservative with scaling up?

I don't see the link in the bio, but you can get tickets here:
thegladstone.ca/shows/angels...

If I had room, I'd have a tree up year-round...