Harris just offered little to get voters excited. Mostly ran as a status-quo candidate. Racial minorities, for the most part, are not happy with the status-quo. By being ignored, it allowed right-wing propaganda on media (social and traditional) to do its work. One thing I’ve heard is, “well, at least Trump sent me some checks.” Many people I’ve talked to weren’t happy with Biden’s involvement with the crime bill, or Harris’ being a DA that proudly prosecuted cannabis offenders. Some people I’ve talked to liked that Trump pardoned Lil Wayne, Kodak Black, and that woman who had an extremely long sentence for cannabis. One person I’ve talked to was upset about “libtards” removing black faces from grocery store products (using Aunt Jemima as an example). Some younger men I know (some racial minorities) have started going deep into the Jordan Peterson, Fresh and Fit, Andrew Tate, etc pipeline, which I’m guessing is rooted in sexual insecurity.

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 (???).

I’ve used a 2.5" hdd on a rPi before using a usb-to-sata adapter (powered from rPi’s USB port). I’ve used a 3.5" hdd using an hdd enclosure that’s externally powered.

Humans used to live in socialist-like societies before agriculture. I.e. “primitive communism.” I’d argue socialism is more aligned with basic human nature than capitalism.

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).

Is it? Could you please enlighten me? I admit, I’m a bit ignorant of the politics over there.

To me, it seems like it’s a clear violation of a nation’s sovereignty. As a US citizen, I can’t imagine Mexico bombing us for private actors for distributing guns to the cartels, for example. Even if the government itself was responsible for distrubuting arms to the cartels (which actually may very well be the case), I still don’t see the justification for bombing US apartment complexes.

Lebanon is urging the international community to recognize it as an invasion: https://www.npr.org/2024/10/01/nx-s1-5134606/lebanon-israel-invasion-hezbollah-international-support

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).

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.

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.

There’s a trade-off, depending on the hobby, I guess. For some hobbies, very cheap gear won’t even work properly. “Buy once, cry once,” is something I hear often.

Higher quality, more expensive gear does not necessarily contribute to waste. Sometimes, it can just be more expensive because their workers are paid good wages and materials are ethically sourced. Some very cheap gear can break much sooner, ending up being more wasteful.

In the Texas counties I’m most familiar with, if you’re arrested and they don’t have a good case, they just keep resetting court dates for years instead of going ahead with the process. If you can’t afford a bond, you’ll be in jail that whole time (which pressures people to take plea deals), if you can secure a bond, you’re out, but with limited rights and a whole lot of hassles to deal with.

Likely transformers now (I think SD3 uses a ViT for text encoding, and ViTs are currently one of the best model architectures for image classification).

I thought the tuning procedures, such as RLHF, kind of messes up the probabilities, so you can’t really tell how confident the model is in the output (and I’m not sure how accurate these probabilities were in the first place)?

Also, it seems, at a certain point, the more context the models are given, the less accurate the output. A few times, I asked ChatGPT something, and it used its browsing functionality to look it up, and it was still wrong even though the sources were correct. But, when I disabled “browsing” so it would just use its internal model, it was correct.

It doesn’t seem there are too many expert services tied to ChatGPT (I’m just using this as an example, because that’s the one I use). There’s obviously some kind of guardrail system for “safety,” there’s a search/browsing system (it shows you when it uses this), and there’s a python interpreter. Of course, OpenAI is now very closed, so they may be hiding that it’s using expert services (beyond the “experts” in the MOE model their speculated to be using).

I find Kagi results a little bit better than Google’s (for most things). I like that certain categories of results are put in their own sections (listicles, forums) so they’re easy to ignore if you want. I like that I can prioritize, deprioritize, block, or pin results from certain domains. I like that I can quickly switch “lenses” to one of the predefined or custom lenses.