rubikcuber
The research specifically looked at lossless algorithms, so gzip
"For example, the 70-billion parameter Chinchilla model impressively compressed data to 8.3% of its original size, significantly outperforming gzip and LZMA2, which managed 32.3% and 23% respectively."
However they do say that it's not especially practical at the moment, given that gzip is a tiny executable compared to the many gigabytes of the LLM's dataset.
100 years old... is the wiring underneath also that old? if so I'd recommend a rewire! Also this will have a non standard back box behind it that may not have sufficient space for an LED dimmer. If it's a cast iron back box, that might need to be chiselled out and replaced, so you'll need to replaster around it. Honestly, if this is part of the circuitry in your house I'd get an electrician out to look at it.
I haven't used Twitter much in years really. But after switching to Lemmy during the reddit API debacle I thought I'd give it a go and am really enjoying it. I've set up a ton of filters to block out stuff I don't want to see, and joined a couple of instances for two different personas. I'm not using the official mobile client. On Android I use Tusky and Megalodon. Tusky is my daily driver and feels like how I remember the Twitter app from 7 or 8 years ago. Megalodon is nice for cross instance discovery, but has a couple of UI quirks that prevent me from using fully. My SO uses Ice Cubes on iOS and that looks pretty sweet. Personally I found the switch comparable to Lemmy. It took me a month or two to build up a good number of active people to follow to get to the stage of having an interesting feed. It also seems to have got a lot more active in the last week. When I have dropped into Twitter it's a dumpster fire on top of a cesspit. I don't think I could go back. I'd absolutely recommend giving Mastodon a go.