Mauve 👁💜 @mauve@mastodon.mauve.moe

Fediblock lists are fun and all but I wanna dig around in postgres and see who's in my follow graph poisoning the noosphere. Secure Scuttlebutt was great because I could see exactly how assholes would get access to my whereabouts. 🤷

I'm thankful for the snow cleaning folks when I have to brave the roads but it's hard to stay positive when they're hauling snow at 3 am 🥲

My little spatial curve model is up to over 3k dense neurons with six hidden layers. It takes me 10 mins to run 300 epocs and I think I might triple that now that I've started messing with different learning rates.

Cyberpunk garf: Bitfield

"I hate cache misses"

I've been into egregious usages of enoji lately. I think it's part of my natural urge to cringemax. This is one of my faves lately: 👉😎👈

Womp womp, still can't get tensorflow-rocm to work on my machine 🤷 IT's unfortunate that it's hard to get GPU acceleration working with AMD for tensorflow 😿

Playing Dragon Age Veilguard and the "fantasy name per sentance" density is pretty high 🤪 It's like every other sentance they have to namedrop somebody.

I think I'm warming up to using local LLMs for helping me code. I don't trust them for large scale code generation but it's started saving me some time in looking up syntax and docs via DuckDuckGo. I still need to look up docs for most of the work I do but not so much for common use cases you'd find on stack overflow.

The second last layer was set to relu which messed everything up.

Lmao, re-running an neural network training thing I did a month ago and it's no longer able to train a working model. Not even sure what changed 🤷

#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.

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.

https://www.youtube.com/watch?v=0VLAoVGf_74

Friendly reminder for those looking for a new #web #browser, Agregore has built in UBlock origin ad blocking and doesn't track you or sell your data.

In manual memory management, the garbage collects YOU.

Found this #techno banger via tiktok. Very cyber.

https://soundcloud.com/nikolachenmusic/nikola-chen-lippo-pippo