[-] 31337@sh.itjust.works 6 points 2 hours ago

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.

[-] 31337@sh.itjust.works 2 points 14 hours ago

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.

[-] 31337@sh.itjust.works 2 points 14 hours ago

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).

[-] 31337@sh.itjust.works 4 points 19 hours ago

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).

[-] 31337@sh.itjust.works 4 points 1 day ago

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.

[-] 31337@sh.itjust.works 2 points 1 day ago

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

[-] 31337@sh.itjust.works 1 points 2 days ago

Yeah, the image bytes are random because they're already compressed (unless they're bitmaps, which is not likely).

[-] 31337@sh.itjust.works 4 points 2 days ago

I think I've seen calculations that we could explore every star in the galaxy with self-replicating probes in something like a million years; and other civilizations could do the same.

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AI firms propose 'personhood credentials' to combat online deception, offering a cryptographically authenticated way to verify real people without sacrificing privacy—though critics warn it may empower governments to control who speaks online.

[-] 31337@sh.itjust.works 23 points 3 days ago

I think a lot of it is because there's so many more well-funded right-wing influencers/grifters than genuine liberal or left-wing influencers. It's much more profitable to take advantage of young men's anxieties and insecurities (to sell fungus pills, get-rich-quick plans, or whatever), than to genuinely discuss things from a liberal or especially left-wing perspective.

[-] 31337@sh.itjust.works 9 points 3 days ago

Toilet paper, trash bags, paper towels. If you go the absolute cheapest, they're arguably defective, but the second cheapest is usually ok.

[-] 31337@sh.itjust.works 20 points 4 days ago

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.

[-] 31337@sh.itjust.works 26 points 4 days ago

This is good, IMO. People don't have to smoke as much, so less damage is done to their lungs. Vapes, edibles, and concentrates that are not combusted are probably even less damaging.

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submitted 1 week ago by 31337@sh.itjust.works to c/degoogle@lemmy.ml

I use Google Shopping (the “Shopping” tab on Google) to see if local stores carry certain products, what they cost, how far away each store is, etc. It seems to mostly search national or large regional chains, but it was still pretty useful.

Is there any alternative to this (in the US)? The “nearby” function has unfortunately got shittier and shittier over the past year or so. It's gotten less “deterministic," just mixing results from local stores with e-commerce stores, further reducing usefulness.

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I don’t remember how I heard of it, but just binged-watched it over the past few days. Ratings seem a little bit above average, but I found it very enjoyable. I liked that the mood oscillates between modern comedy and tragic comedy; and that it seems to implicitely critique modern society. The series almost feels like an allegory (or perhaps I’m reading too much in to it).

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I've recently noticed this opinion seems unpopular, at least on Lemmy.

There is nothing wrong with downloading public data and doing statistical analysis on it, which is pretty much what these ML models do. They are not redistributing other peoples' works (well, sometimes they do, unintentionally, and safeguards to prevent this are usually built-in). The training data is generally much, much larger than the model sizes, so it is generally not possible for the models to reconstruct random specific works. They are not creating derivative works, in the legal sense, because they do not copy and modify the original works; they generate "new" content based on probabilities.

My opinion on the subject is pretty much in agreement with this document from the EFF: https://www.eff.org/document/eff-two-pager-ai

I understand the hate for companies using data you would reasonably expect would be private. I understand hate for purposely over-fitting the model on data to reproduce people's "likeness." I understand the hate for AI generated shit (because it is shit). I really don't understand where all this hate for using public data for building a "statistical" model to "learn" general patterns is coming from.

I can also understand the anxiety people may feel, if they believe all the AI hype, that it will eliminate jobs. I don't think AI is going to be able to directly replace people any time soon. It will probably improve productivity (with stuff like background-removers, better autocomplete, etc), which might eliminate some jobs, but that's really just a problem with capitalism, and productivity increases are generally considered good.

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submitted 1 month ago by 31337@sh.itjust.works to c/news@lemmy.world
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submitted 2 months ago by 31337@sh.itjust.works to c/politics@lemmy.world

As the energy transition inches through the ‘issue attention’ cycle, a wiser approach should emerge.

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submitted 3 months ago by 31337@sh.itjust.works to c/politics@lemmy.world
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submitted 4 months ago by 31337@sh.itjust.works to c/politics@lemmy.world
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31337

joined 1 year ago