I haven’t checked it out in years. From my understanding, IPFS aims to be a distributed filesystem that kinda works like Bittorent. If you access a file, you then seed it. Last time I checked it out, the project was jumping on the crypto bandwagon… Just checked out their website now, and don’t know WTF it is.

Ok, yes, I support actions like these, and they are good for community defense against small civilian fascist groups. There are not the numbers to counter organizations like FBI, DHS, or national guard though. Things are a bit different when the fascist group you’re trying to counter is the federal or state government with the will to kill and immunity from their actions.

The left is such a small population in the US, it’s irrelevant. If we are to believe Trump’s rhetoric, any group that becomes too much of a nuisance will be deemed “the enemy within,” and be shot.

Yeah, I agree. I do use Flatpaks, Snaps, and Appimages sometimes if I can’t find a suitable deb repo/package. Flatpak is the best out of the three because they do try to avoid too much duplication through runtimes. I also use Docker quite a bit, which has similar issues (and benefits).

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.

Meh, startups and businesses are capitalist organizations, and I think the idea of patents is questionable outside capitalism, so these wouldn’t really be a good metrics. I’d guess the richest countries “innovate” the most because they can support more risky endeavors. The U.S. is the capitalist imperial core, so it probably innovates the most. Other capitalist nations like Haiti, probably not so much.

The best measure of innovation would probably be something like scientific publications. China wins by raw numbers, Vatican City wins per-capita (???).

IMO, the U.S. will become similar to Russia. It’s not some sudden societal collapse scenario; just an oligarchy with high levels of corruption and incompetence. Most people will conform or keep their heads down to avoid the consequences of stepping out of line. If you’re in a possibly targeted group, you may want a valid passport though. And it’s always been a good idea to keep at least a months worth of non-perishable food on hand in case of supply chain disruptions. Possibly stuff like emergency propane heaters and a propane tank could be useful too (they’ve been useful for me in the past already without an authoritarian government or social unrest). Knowing your neighbors and helping eachother out in little ways is probably the most powerful thing though.

Source? First I’ve heard of anything like this. I’d imagine a lot of things would have to be settled in court given the US’s strange laws giving states so much leeway in how they conduct federal elections.

It’s neither okay nor sustainable

Source?

You realize mass deportations would decimate the economy? Some cities are 10% undocumented immigrants; Florida is 5% undocumented immigrants. Undocumented immigrants are a significant part of the U.S. economy and culture.

It would also be a horrific endeavor. Police going door-to-door demanding documentation. Probably social surveillance similar to Nazi Germany (along with all the false accusations). 4 million child U.S. citizens would have their parents hauled away. There will need to be concentration camps to hold all those people before travel (if they would actually get around to doing that).

“Law breakers,” isn’t a very good argument. Everybody breaks the law (speeding, jay-walking, etc). The system is currently working as intended, and encouraging people to break the law to acquire an easily exploitable workforce. Incidentally, undocumented immigrants commit far less crime than citizens.

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.

Factories I’ve worked at had vending machines filled with microwavable food (burritos, burgers, sandwiches, etc). All of it was pretty disgusting.

Yann LeCun would probably be a better source. He does actual research (unlike Altman), and I’ve never seen him over-hype or fear monger (unlike Altman).

Code should be self-documenting. That way it is never outdated. Here’s an example of this similar to what you can expect to see in practice:

def nabla_descent(X, y, theta, alpha, delta, nabla):
    m = len(y)
    for _ in range(delta):
        h = X.dot(theta)
        nabla = (1/m) * X.T.dot(h - y)
        theta = theta - alpha * nabla
    return theta

I (probably unreasonably) despise using web front-ends for desktop applications.

GTK is OK. QT is very feature rich, but that adds complexity. Both can be cross-compiled to most systems and shipped with all the required libraries pretty easily.

I haven’t used it in a long while, but I remember liking Java Swing for some reason. Java should be “write once, run anywhere.” But, cross-compiling isn’t usually too hard, so not sure how much that matters. There’s more modern frameworks for JVM-based languages now, but I haven’t tried them.

I’ve noticed Gradio is popular in the ML community (web-tech based, and mostly used for quick demos/prototypes).

Edit: For web applications, I prefer Angular’s more traditional architecture over React’s hook architecture.

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.