The device wouldn’t necessarily have to be constantly streaming the audio to a central server. If it’s capable of hearing wake up words like “Ok Google” it’s capable of listening for other phrases and having onboard processing to relay back the results much more compressed. Whether or not this is common practice is another matter, and yes the algorithms are scary good even without eavesdropping.

I wonder if Fedora would have a toolchain for networked credential management, with its connection to RedHat and everything

Technically, steamOS because it’s designed to play games and it’s what the steam deck uses. That probably won’t have many other non-gaming features though, and I’ve personally never used it. In my experience, you can get most games without a hyper-aggressive anti cheat working on any Linux distro with varying degrees of effort, just a matter of having all the needed libraries installed! The more popular distros like Ubuntu, popOS, Fedora, even Arch (btw) should have a lot of helpful information out there on how to get Lutris or Steam set up.

Any time a news headline asks a question, the answer is almost always “no”

I was just poking a bit of fun, because there’s a good chance it was an autocorrect typo for the original commenter too :p

Vacuuming up days?

Like it sucks time from your life, siphoning precious time out from your life without even realizing it? I guess that’s one way to frame browsing Polygon but I’d personally view it as a pretty tame example compared to sites like YouTube or Lemmy.

Or did you mean data like the site is harvesting information off your service when you click the link?

Imo their issue was in not forming a broader union coalition before picking their workplace

That’s fair. I think fundamentally a false positive/negative isn’t that much different. Pretty much all tests—especially those dealing with real world conditions—are heuristic, as are all LLMs by necessity of the design. Hallucination is a pretty specific term given to AI as an attempt to assign agency to a system that doesn’t actually have any (by implying it’s crazy and making stuff up instead of a black box with deterministic inputs and outputs spitting out something factually wrong but with a similar format to what is trained on). I feel like the nature of any tool where “you can’t trust this to be entirely accurate” should have an umbrella term that encompasses both types of providing inaccurate info under certain conditions.

I suppose the difference is that AI is a lot more likely to randomly go off, whereas a blood test is likelier to provide repeated false positives for the same person with their unique biology? There’s also the fact that most medical tests represent a true/false dichotomy or lookup table, whereas an LLM is given the entire bounds of language.

Would an AI clustering algorithm (say, K-means for instance) giving an inaccurate diagnosis be a false positive/negative or a hallucination? These models can be programmed on a sliding scale and I feel like there’s definitely an area where the line could get pretty blurry.

I mean, AI is used in fraud detection pretty often; when it hits a false positive (which happens frequently on a population-level basis), is that not a hallucination of some sort? Obviously LLMs can go off the rails much further because it’s readable text, but any machine learning model will occasionally spit out really bad guesses almost any person could have done better with. (To be fair, humans are highly capable of really bad guesses too).

Maybe it’s just me but I also feel like the reddit results that show up also seem to be getting worse. Used to be the case that I could input a query, add “Reddit” to the end, and immediately get one or two concise, helpful answers, but I’m very frequently getting fluff and having to check 5 or 6 down these days for similar questions.

Perhaps they are bad examples, but my point was more that I think those ecosystems thrive in spite of the company that owns the upstream at this point more than because of it. They did tremendously useful work getting the projects off the ground but it ostensibly seems like they get in the way more often than not; that said, I haven’t done any open source work on either of the two. I’d be interested to hear your take, I could be pretty far off the mark.

Honestly my main examples I’d point to right now are situations like manifest V3 and Android nitpicks like the recent Bluetooth 2-tap change; don’t get me wrong, they are easy to fork and have thriving ecosystems in terms of volunteer dedication, but those forks still primarily targeted towards technical users (with some exceptions) and companies selling devices like the Freedom Phone (and other, actually neat, useful, properly privacy focused devices which is awesome!). By far, however, most users are on the upstream branch due to “default choice” psychology and have to deal with the bullshit that’s increasingly integrated into the proprietary elements that Google seems to be making harder and harder to separate from the open source ones. I suppose that’s why education and getting the word out are all the more important though.

Could be the sensationalist end of the tech news cycle getting me spun up on an overall inaccurate view of things.

There is also the point I have to raise that security update support is always a very valuable asset that can be worth dealing with some downsides to get ahold of. I’m hoping a lot of those can be pulled into open source projects on more of a piecemeal basis where applicable?

I’d be happy to be proven wrong about my rudimentary assessment. I have enough things to be doomer about and honestly it would be nice to have one or two fewer!

Chromium is still open source, as is Android to some extent. I get that the two companies (Google and Proton) are in completely different size classes, but something being open source doesn’t necessarily mean it stays healthy. Sure people can fork it, but the issue tends to lie in continuous maintenance by volunteers against continuous maintenance by a large company that’s constantly adding in anti-features along with desired ones.

I’m not necessarily saying Proton will go down that route, but trying to become big and bundled as a value proposition opens the door for that behavior once they get enough people locked into the ecosystem.

A “privacy” company acquiring and centralizing various projects to be under its umbrella seems kind of worrisome to me even if it’s done with pure intentions.

I think there’s a difference between using pre established characters and settings vs wholesale copy pasting someone else’s entire work to sell as one’s own (or directly and solely profit off of, regardless of whether credit is given). Whether or not there is a legal distinction between the two in terms of copyright, there’s absolutely a line to be drawn on overt plagiarism.

And likewise, the sellers could be polite, ask permission and potentially settle on some amount of royalty payments, or they could just do it, make their money, and ask for forgiveness afterwards or just take down the listing and find another artist’s work to repackage

Also, I’m not sure if this is the same in Canada as the US, but I’m pretty sure that in many cases, vandalism is considered a much lesser crime than unauthorized computer tampering/hacking

I wouldn’t be surprised if a lot of the decisions are couched in language such as streamlined, direct, integrated, and highly manageable user experience solutions or task workflows tailored to flexibly maximize dynamic engagement metric requirements to euphemise the fact that the goal to deliberately sandbox and disempower users. Could also be the case that the pretense is dropped altogether in some contexts, like when unionization is actively being discussed as a threat model to the bottom line.

At any rate I’m glad to hear from someone “on the inside” that I’ve got an accurate assessment of the situation. Depressing how the situation is, but thanks for weighing in.

I don’t know anything about non-cartoon guy, but after confirming my guess, the sign behind says “Sneed’s Feed and Seed” at the top which is indeed a Simpsons reference. Apparently it has ties to 4chan culture as well, if the knowyourmeme page is anything to go by.

The Simpsons character is from the episode/scene in question, and I don’t know if he is given a name because I’ve never seen the full episode.

Edit: Additionally, the Simpsons character has been edited specifically to resemble a rule 34 rendition of Omni-man from Invincible, in which the artist depicted him with a suit on, but very skin tight and leaving very little to the imagination with everything visible through the suit. The original image was/is also shared around a lot in some spaces, mainly for shock value but there could be additional meaning. You can also find info for that on the knowyourmeme page for “Thicc Omni-Man” (potential NSFW warning)

No idea what the significance of the choking-with-buttcheeks is, but I’d imagine it’s not great.

I was thinking of a short lil bunny wearing a top hat and monocle with one ear sticking out of the center of the top hat but that works too

Sounds like a Pal name lol