gentile
Joined 2 years ago
Karma
54
Submissions
22
Member since
May 9
Recent submissions
Comment · 26 days ago
Comment · 1 month ago
Just create a custom filter in ublock origin:
www.linkedin.com##div:matches-attr(data-testid="mainFeed")
You could also add in
www.linkedin.com##aside:matches-attr(aria-label="Aside")
for good measure.
Comment · 1 month ago
It's still typically for code, like python data stuff, bash scripts, general web search, small javascript stuff for my website. By saying not SWE, I mean I don't really see much benefit from "agentic" stuff, although I've tried. 50 t/s means 40~60 seconds for a typical thinking response. I used to run gemma 4 e4b-it-qat fully in GPU (~150 t/s), but the quality improvement moving to a much larger MoE model was 100% worth the switch. Especially because I had a lot of idle ram (from the before times :( ). There is some tradeoff in terms of context length, but I just use it as a chat. Also it's fairly trivial to setup as long as the GPU is supported.
Comment · 1 month ago
Not a SWE, but I do Freetoken (backend) + unsloth (front) to run qwen 3.6 35B A3B NVFP4 (~20GB) in 8GB VRAM + ~20GB RAM. Getting around 50 t/s on a 3070. I don't think I can even share through this site.
Comment · 2 months ago
You can download Osmand~ from F-droid which doesn't limit downloads. Or you could even download the map from another provider like bbbike or geofabrik, use osmandmapcreator (needs java) to convert the pbf to obf and then import it into the phone.
Comment · 4 months ago
I've been making some custom maps for both Osmand and Comaps. The main big positive for Comaps I've seen is Android Auto being available freely (but you have osmand+ so moot point). But having used both, the tooling for osmand is far more mature. Creating an obf file (osmand file type) is a lot easier than the process for an mwm file (comaps file type). Far more routing or ui customization options in osmand and routing.xml files for even more advanced custom time penalties/weighting profiles.
Comment · 5 months ago
The 100k figure is an overestimate by a few percent. The OpenStreetMap data for ALPRs is pretty good, but there is some duplication.
I (recently) programmatically identified ~2.5k such instances.
https://pickpj.github.io/Mapping/FIock/similar.html
It has openstreetmap links attached for those who want to help fix the data.
Comment · 6 months ago
Consider balling up some electrical tape underneath the Ram stick. This solved this very specific issue with my laptop that was flexing too much and crashing.
Comment · 8 months ago
Download osm data, extract roads and surveillance, gpd overlay how=difference, remove/edit the different osmid's, write to pbf file, convert to obf file w/ osmandmapcreator, import into OsmAnd.
Now you have turn by turn navigation around ALPRs on your phone.
Edit: link https://github.com/pickpj/Big-B-Router - I tend to find ALPRs that are missing in the OSM data, so keep on updating OSM data.
Comment · 8 months ago
To add, a bit complicated, but osm data can be edited with osmium (cpp) or pyosmium (python). Then the edited data can be put into osmandmapcreator to generate the file to use in Osmand. (I used this to route around ALPRs)
Comment · 1 year ago
Yes, it just uses the shapefile from the tokyo open data site.
https://catalog.data.metro.tokyo.lg.jp/dataset/t000008d00000...
It's a quarto site so if you navigate to the repository of the github page you can see the python code used to generate the map/choropleth.
Comment · 1 year ago
Some more context for Japan's land use (it does not differ prefecturally; some local regulations like kyoto and building colors)
The basics of Japan's Land use rules in english (only 8 pages; mostly tables/pictures and very straightforward): https://www.mlit.go.jp/common/001050453.pdf
- In the "Control of Building Use by Land Use Zones" you can see how even the most exclusive of zoning enables "Houses with other small scale function", Clinics, Schools or stores with very small footprints.
- Structures are restricted by the shape, shadow, and floor area.
- No mention of "single-family" housing.
A map (of Tokyo) overlaying the gradient of zoning from least to most permissive. You can see how the up-zoning follows the major roads: https://tokyochizu.github.io/zoning.html
I'm doing Qwen 3.6 35BA3B-NVFP4 (a larger ~20GB model) in 8GB VRAM and 20 GB RAM (I also get more than 16k context, and more t/s).