Things are quite different. While Trump was in office, he did multiple things that were worse than what Nixon did, and was never forced to leave office. I think our institutions were stronger back then. We didn’t have a very good democracy when Hoover was president, and it took many decades for the Voting Rights Act to get passed (which has recently been weakened by SCOTUS, and will probably be weakened much more). I think we’ll regress quite a bit. Republicans obviously want more of an autocracy/oligarchy. I think it’s a very real possibility we have Russia-style “elections” in the future, and I don’t even know how you come back from that. Assuming democracy isn’t completely destroyed, it may take many decades of fighting and changing the minds of the people who aren’t disenfranchised to get back to where we were. Hell, even civil war is on the table if Trump follows through on some of his more egregious promises (i.e. if he deems Democratic state governments as the “enemy within” and tries to use the military to depose them).

I assume the “kill it” comment was a little tongue-in-cheek. On small SBCs, like a Pi, or old hardware, it could be a problem. I’ve seen people with flatpaks taking up 30GB of space, which is significant. I’m not sure how much RAM it wastes. I assume running 6 different applications that have loaded 6 different versions of Qt libraries would also use significantly more RAM than just loading the system’s shared Qt libraries once.

Wastes RAM and disk space (compared to package-manager installed applications) by storing more libraries on disk and loading them into RAM rather than just using the libraries already installed on the distro. It’s probably better than Snap and Appimage though.

I think some apps allow it, not sure though. You can also move to an instance defederated from .ml if that instance is more aligned with what you’d like to see. You can also just subscribe to communities and not browse “All.”

Yeah, I mostly leave Harvestmen alone if they stay out of the way. I kill brown recluses though, because I’ve heard their bites can do some damage.

I just exported my data from BitWarden and imported into ProtonPass. Was pretty easy. Hate the color palette of the app and browser extension though, lol.

Haven’t tried Gemini; may work. But, in my experience with other LLMs, even if text doesn’t exceed the token limit, LLMs start making more mistakes and sometimes behave strangely more often as the size of context grows.

This is more complicated than some corporate infrastructures I’ve worked on, lol.

I usually just use VS Code to do full-text searches, and write down notes in a note taking app. That, and browse the documentation.

Nah, LLMs have severe context window limitations. It starts to get wackier after ~1000 LOC.

Python is quite slow, so will use more CPU cycles than many other languages. If you’re doing data-heavy stuff, it’ll probably also use more RAM than, say C, where you can control types and memory layout of structs.

That being said, for services, I typically use FastAPI, because it’s just so quick to develop stuff in Python. I don’t do heavy stuff in Python; that’s done by packages that wrap binaries complied from C, C++, Fortran, or CUDA. If I need tight-loops, I either entirely switch to a different language (Rust, lately), or I write a library and interact with it with ctypes.

Production AI is highly tuned by training data selection and human feedback. Every model has its own style that many people helped tune. In the open model world there are thousands of different models targeting various styles. Waifu Diffusion and GPT-4chan, for example.

I think you have your janitor example backwards. Spending my time revolutionizing energy productions sounds much more enjoyable than sweeping floors. Same with designing an effective floor sweeping robot.

AI are people, my friend. /s

But, really, I think people should be able to run algorithms on whatever data they want. It’s whether the output is sufficiently different or “transformative” that matters (and other laws like using people’s likeness). Otherwise, I think the laws will get complex and nonsensical once you start adding special cases for “AI.” And I’d bet if new laws are written, they’d be written by lobbiests to further erode the threat of competition (from free software, for instance).

There’s plenty of open source projects that distribute executables (i.e. all that use compiled languages). The projects just provide checksums, ensure their builds are reproducible, or provide some other method to verify.

In practice, you’re going to wind up in dependency hell before pypi stops hosting the package. E.g. you need to use package A and package B, but package A depends on v1 of package C, and package B depends on v2 of package C.

And you don’t need to use pypi or pip at all. You could just download the code and directly from tbe repo, import it into your project (possibly needing to build if it has binary components). However, if it was on pypi before, then the source repo likely had all the code pip needs to install it (i.e. contains setup.py and any related files).

The search engine LLMs suck. I’m guessing they use very small models to save compute. ChatGPT 4o and Claude 3.5 are much better.

C# is actually pretty nice. Ecosystem, not so much, but D doesn’t really have one anyways :)

Donation, patronage, gift economy, mutual aid, or whatever you want to call it is fine by me. People can pirate a lot of proprietary software as well, yet people still pay.

Yet, people still pay for it.

The problem is that HP writes drivers and software for those things for Windows, but not for Linux, so Linux depends on random people to write software for those things for free (which often involves complex reverse-engineering). With Linux you need to make sure you use widely-used hardware that someone has already written support for (this is mostly applicable to laptops and peripherals, which often use custom non-standard hardware). There may be a way to fix your problems, but you’ll have to search forums or issue trackers for the solutions, and they’re probably pretty involved to get working correctly. The router crashing thing is probably just a coincidence though, or the laptop is using a feature that’s broken on your router.