This could actually be a pretty big deal

1. The Eclipse foundation has been making alternatives to VS Code’s “killer apps” (Docker, Python, Go, C++, SSH, Live share, etc). AKA the closed source ones exclusive to VS Code offical that make all forks of VS Code a huge downgrade. The Eclipse foundation is also running the extension store that powers VS Codium.
2. “why not just use VS Codium?” (With the killer extensions made by Eclipse)
   • VS Codium is great, but because of manpower limits, they always have to be “downstream” of VS Code. They can’t rewrite any of the core systems.
   • As someone who contributes to VS Code, and loves VS Codium, many issues I have with VS Code have been open on github for +7 years, with hundreds of comments and thumbs-ups. We can’t even sort the file explorer view by last-edited and folders-first (but we can do folders-first alphabetical). Thats been open since 2017.
   • Theia looks like it could finally be the hard fork I’ve been waiting for. A hackable editor, trying to be open source, where all my extensions work, and the community can actually make a PR, get it merged, and extensions are not excessively sandboxed.
   • Will it be that? Only time will tell, but the Eclipse foundation has a pretty good record. They’re definitely prepared for long term support.

Use e2e for all communication you can

I’ve been on a team where two co-chair leads bickered and eventually split. I was a member in both of the new teams (two projects) and both turned out great for different reasons.

I plan to do the same with Nix and Aux even if everyone else picks sides. And I’m glad the link was posted here.

Agreed, it must take after its parent haha

I mean, manual approval technically does work. I kinda wanted something that would scale.

While I’m really glad to hear about it, I think it would work great for DDOS detection, I don’t know that it works for preventing spam accounts. I’m pretty sure puppeteer with GPT4 could check that box no problem.

PoW sure, but like what’s the tool name. Rolling my own PoW sounds not-smart. I’ve messed with metamask a bit but last I check isn’t real practical for mobile.

[TOTP] Simple to setup / create, doesn’t depend on 3rd party …

Actually I’m worried its a bit TOO easy to create. I don’t need a bulletproof/airtight system but what’s stopping highschooler from installing bluestacks, downloading the AUTH app, and then handling 10,000 TOTP requests for different bot accounts.

I think once you get down to the size of vehicles like this: https://www.youtube.com/watch?v=R2oD1ZHNMFE then they become naturally modular/replaceable. At least in the same way that bikes are. I don’t think people really create “modular” bikes they are just naturally swappable. Of course standards are helpful, and I think there is a total lack of standards for golfcart sized enclosed vehicles.

You should watch the rest, especially the ending, there are some great quotes in there. “There’s so much freedom in [suburb]. There’s no shops, cafes, theaters, places to eat, schools, or even people. But uhh, that’s all part of the freedom; you have the freedom to go somewhere better! like [15min city name]”

This is pretty cool. I’ve got a couple repos that Microsoft uses for VS Code. I switched one of them to GPLv3, but maybe I’ll switch the other to this license.

I think we can agree “Good reseach” is in the how-its-done. I wish journals would chose/require/verify the how-its-done (time frame, resources, hypothesis, method etc) but after that be contractually required publish whatever conclusion is discovered by the team/project they picked and verified.

I know a good bit of micro biology, psychology, and medical trial fields can. But thats about the limit of my “other fields” knowledge.

I guess I should’ve clarified; in reforcement learning “I was wrong in numerous ways” almost always translates to “unpublishable, try to not be wrong next time”. Nobody cares if a reinforcement learning hypothesis didn’t work, its only worth publishing if it worked well.

This is why my field (reinforcement learning) is unfortunately not science.

(Can’t really publish “hey I tried this algorithm and it didn’t work”)

Same haha.

I’ve already started it twice for lemmy, but didn’t put in heavy effort yet. I’ve got a wrapper for nix that helps with common issues, but its on the messy side.

There are so many small GUI apps I want to make but I refuse until I can get Tauri to build an appimage and macos app within nix. It was more than a year ago since I put a lot of effort on that though. If you’ve got any tips/pointers or examples for tauri I’d be happy to hear them.

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As someone who uses open street maps for statistics/analysis to advocate better bike infrastructure; please contribute to open street maps not google.

You can easily do exactly what you were saying; open up an existing road, add an attribute to it saying bike_friendly: true. Just login (on desktop), go to the part of the map you want to edit, click edit at the top and do the walkthrough. It should look like this

Side rant: The google maps API for analyzing data is so bad it might as well not exist. Even ignoring the painful signup process AUTH tokens, cost of usage, and crappy docs; it doesn’t provide access to basically any useful information about roads. Meanwhile open street maps is so easy you don’t even need an account; just run a browser command and scrape any data you want, including downloading the entire database.

Yeah, university is almost certainly going to expect you to be able to install Unreal or Unity, which just isn’t possible AFAIK on NixOS. NixOS is very all or nothing. You can’t just remove the restrictions for one project and hack something together to hit an assignment deadline. Theres still lots of pain points with LD_PATH and 3rd party binaries.

That said, you can use nixpkgs on non-nixos and still get reliability for Godot and other open source tools. For your case, I highly recommend dual booting, and then using nixpkgs without going full blown nixOS.

Sadly it still causes system instability even if you NEVER need the feature.

You might not need numpy at all, but Pandas needs numpy and Opencv needs numpy. Sometimes pandas needs one version and Opencv needs a different version. Well… python only allows one global verison of numpy, so pandas and opencv fight over which one they want installed, and the looser is forced to use a numpy they were not designed/tested for. Upgrading pandas might also upgrade numpy and break opencv. That causes system instability.

Stable systems like cargo coupld upgrade pandas, have pandas use numpy 1.29 without touching/breaking opencv (opencv would still importing/using using numpy 1.19 or whatever). That stability is only possible if the system is capable of having two versions of the same dependency at the same time.