I once worked for a company who had an accountant who used a gaming laptop. They didn't play games, but it was the only decent one they could get with a number pad.
rubikcuber
0 Post – 6 Comments
Joined 1 years ago
And not even monetizing it!
... although maybe my adblocker is working
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.
I really enjoyed The Quarry. Although I killed pretty much everyone.
Rabbit hole is absolutely right. An expensive one at that. With my PAL GC I use an OSSC which I've had for 4 or 5 years. It's a bit long in the tooth now, as well as being expensive. If you can find a one, a RetroTink 2x is probably the best bang for buck. There is also the GBS Control - very much another rabbit hole. AFAIK anything else is going to be no better than the analogue input of your TV.
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.