#python tips for folks getting started.
Don't use the system-level python as that can update and break dependencies. E.g. Arch uses 3.13 if you update and Tensorflow can't go above 3.12.
Use pyenv to do version management per project. https://github.com/pyenv/pyenv
Don't install pip dependencies globally. Use virtualenv to set up dependencies per project. https://virtualenv.pypa.io/
Python versioning is rough out of the box and these tips can save you some pain.
@lucid00.com Another group you might like is this VrChat Biosensing discord which uses EEG signals to control avatars. I think even though the corpos overhyped there's still some hope in us actually having access to interoperable spatial computing tools on the future
@lucid00.com There's still pockets of folks working on standards outside of the NFT/Corpo co-opting of the idea. https://omigroup.org/
Lots of neat stuff happening in the Godot and Blender space for example.
The appeal of machine learning to me is how clean the actual structure of models can be once you split it up in the right layers.
A lot of "application" code is a tangled web of dependencies and small independent or coupled bits of state that you need to coordinate in bizarre ways to account for the difficulty of state management in distributed systems.
ML on the other hand needs maths knowledge but the blocks fit together in a nice clean linear way of input to output.
Found this #techno banger via tiktok. Very cyber.
https://soundcloud.com/nikolachenmusic/nikola-chen-lippo-pippo
@Alice I love seeing a good spreadsheet NGL.
@tinker Kinda like how mRNA vaccines can be used to get the body to attack arbitrary cells by provoking the immune system
@xeiaso.net wahapa?
Occult Enby that's making local-first software with peer to peer protocols, mesh networks, and the web.
Exploring what a local-first cyberspace might look like in my spare time.