I find it odd that any LLM could be considered open source. Sure the weights are available to download and use, but you can't reasonably reconstruct the output model as it's impractical for an individual to gather a useful dataset or spend $5,000,000+ of GPU time training.
I'm working on a dumb tool to picture-in-picture show rendered GPS data as a mini-map with a forward- and backward-looking trail on top of GoPro footage (to memorialize cool bike rides).
I much prefer Fabric server to Paper. Paper has a couple game-breaking differences in advanced redstone, and Fabric in general has more mod compatibility. There are options to disable the redstone differences, but it's a bit annoying.
Neat, I am working on something similar with almost all the same tech you mentioned (CDK, R53, TS, APIGW+Lambda), and a Dockerized dev env with everything set up. It's meant to be a boilerplate I copy for new side projects. DM me on twitter (same username) if you'd like to compare notes or collaborate.
This is amazing, thank you. Been a user of Readwise for a while because it's the best highlight aggregator out there. Now that there's a reader with highlights + Obsidian.md highlight export, I can get rid of a whole stack of other apps I had glued together (https://github.com/zdwolfe/reading).
Many folks in this thread are recommending which specific subreddits and blogs they like, but I thought I'd comment on the "how" of my web routine that I found useful.
I use feedly.com to follow HN, blogs, subreddits, and news outlets. I split up "Backlogging" and "Reading" as separate activities, which I think promotes focus when reading.
To "backlog", I browse through my feedly feed of HN/Reddit/blogpost titles, marking the ones that sound interesting to "Read Later".
Then later I read through those "read later' posts, saving the best ones in lists and highlights/notes for the future.