^ https://simonwillison.net

I've used vapor as a side project API. For anything new and only on Apple ecosystem, its simpler to just go with SwiftData and CloudKit though.

Location: Abq,NM USA Remote: Yes Willing to relocate: No Technologies: rails, python, swift, typescript Résumé/CV: https://linkedIn.com/in/philipbroadway Email: outoforderorder@gmail.com

Imagining in a server farm. Cool project!

> You are faceblind

Needed that laugh.

Finally, machines doing the work we dont want to do

https://x.com/ajhai/status/1899528923303809217 something I have been working on for a few months now.

That its not being treated like malware.

In the sense that people are voluntarily installing and running this malware on their computers, rather than being tricked into running it? Is that the only difference?

They are still tricked into running it, since it's normally not an advertised "feature" of any app that uses such SDKs.

Looks promising but the license, Attribution-NonCommercial-NoDerivatives is pretty limiting..

That’s just for the data, isn’t it, the code is Apple Sample Code License which I seem to recall is an MIT type license

"models are released under Apple ML Research Model Terms of Use."

Great interview with author China Mieville who's also working on a new book.

Awesome project :-)

I think the missing ingredient here is a way to export the tracked activities, but this looks like it was fun to make!