Encoder I’m working on as a side project, not publicly released (but feel free to pull the included files to prove it to yourself)
860 karma · joined April 8, 2025
- The Firefox screenshot w/ lossless JXL at 66.9kB, when with a better encoder you get get it down to like 40.7kB (39% smaller) [1] (or 43kB if you need it to work with jxl-rs [2])
- The cat illustration w/ lossless JXL at 255.3kB, when with a better encoder you can get it down to 178kB (30% smaller) [3]
[1] https://www.linolevan.com/05-screenshot.jxl
- reflective housing is super inefficient (~70% losses on the bounced light off typical material, at the top end expensive stuff still ~23%), still better than just losing the light upwards but not as many lumens on the road as a lab test would show
- Today LEDs are more efficient than sodium
Some math: 100W HPS cobra head lamp prdouces 9.5k lumens, including ballast it draws ~133W from the wall. Lab test shows about 70% of the lamp's light leaves the fixture (with the rest being lost in the housing) leading to ~7k lumens exiting. Roughly 53 lm/W.
LED cobra head lamps get like ~125 lm/W on the low end + fade much more slowly than sodium
https://abcnews.com/ABCNews/finnish-businessman-handed-12100...
One thing I see a lot is papers flagged as AI because they include llm rollouts in the paper as examples.
My understanding is that they strongly believe in no false positives, so it's definitely possible to slip something by them but if it marks something as AI, it very likely is.
that's all I'm aware of
(edit) Oops, just saw that you mentioned it, confused by your first line then. Tangled is awesome!
> No. The additional usage you get during off-peak hours doesn’t count toward any weekly usage limits on your plan.
(Also technically qwen3 8b w/ novita being first place but barely)
Also piece of feedback: it kind of sucks to have glm/minimax/kimi on separate api endpoints. I assume it's a game you play to get lower latency on routing for popular models but from a consumer perspective it's not great.