Is anyone actually working on that?
Here is the FAQ from the makers of this film.
https://findingmoneyfilm.com/faqs/
Special section on Bitcoin. Check it out.

"millions of data processing hard drives"
Uploaded to nostr.build Still trying to figure out what works.😅
Just a thought: It's kinda scary how glued we are to our phones, totally missing the world around us. Decided to capture that vibe—used Leonardo AI for the animations and DaVinci Resolve for the edits. #digitalart #techthoughts #artstr
https://video.nostr.build/492438573cb76bef8f0a1a0ff4db0740a6febc9757379e695a8a475f645cc7fd.mp4
Watching this makes me feel unwell. Good job!
gm frens, added my bitcoin space heater to #homeassistant so i can mine even harder

Happy mushrooms, happy compost. 
I'm looking into a seedsigner as well. I think you load the seed into it with seed words or seedqr each time it is powered up. There's a self custody guide on their GitHub.
Remember to provide a source of water in your garden. 
Birds use this old satellite dish as a bath, but it also helps attract and retain beneficial insects. The dirty water is full of nutrients and gets dumped out by my rig tree. #permies #gardening
First proper compost pile of the season, 14 hours after the second turn. #compost #permies

I make the compost, and post about it sometimes. 
I think it's just a better implementation of BRC-20.
doas tail -f /var/bitcoin/debug.log
10 more to go!
Send a GET request to the relay URL with the accept header set to “application/nostr+json”. This should return a document with some information about the relay. This document should contain an “icon” key with a url (if set in the config). The NIP doc should give a good explanation of how this works.
https://github.com/nostr-protocol/nips/blob/master/11.md#icon
Thanks, I found it easy enough to add the relay to my list in nostrudel and the icon showed up right away.
What's a good way to test the change?
I found it helpful to look at variety of samples from good compost to bad soil to get a general sense of what good and bad look like. Then start learning to identify the general categories of stuff.
Excellent temporal consistency and coherence, but there's no code or model published.




