Acamon

I've seen reports and studies that show products advertised as including / involving AI are off-putting to consumers. And this matches what almost every person I hear irl or online says. Regardless of whether they think that in the long-term AI will be useful, problematic or apocalyptic, nobody is impressed Spotify offering a "AI DJ" or "AI coffee machines".

I understand that AI tech companies might want to promote their own AI products if they think there's a market for them. And they might even try to create a market by hyping the possibilities of "AI". But rebranding your existing service or algorithms as being AI seems like super dumb move, obviously stupid for tech literate people and off-putting / scary for others. Have they just completely misjudged the world's enthusiasm for this buzzword? Or is there some other reason?

I feel like I'm encountering weird little tics and problems with my android devices, and those of family and friends. Just simple things where settings don't seem to be consistently applied, or the os switches something back repeatedly. For example, my apps are set to auto update, to use data as well as WiFi, etc, but every month or so I go into Play and see that some random app hasn't been updated in weeks.

Or my friend only gets Signal notifications when they open the app, despite giving full background data use, turning off adaptive battery, etc. My mother uses an alarm app that needs to display over the screen for a feature, but despite me setting that permission repeatedly Android keeps turning it off.

Is this just anecdotal bad luck? Or is all the work to preserve battery life, control background usage, etc led to an OS where the user can't control things reliably? It starting to feel a lot like MS Windows!

(I've got a pixel watch 2 and moto edge 40 neo, and some jlab earbuds.)

I usually listen to music on my phone, but recently linked my earbuds to my watch, and the same music played on Spotify sounds massively better on the same earbuds when played via the watch.

I assumed it was because I had installed the jlab app, and it was doing a bad job of meddling with the eq. But after uninstalling it there wasn't a noticeable difference. Is there some other setting I can adjust? Any thoughts on whether it's something my moto is doing wrong or something my pixel watch is doing right?

Its a substantial difference (although I'm not enough of an audiophile to describe it) enough that I'm now mostly playing music via my watch. But it's hitting the battery hard, so I'd rather go back to using my phone!

I hear people saying things like "chatgpt is basically just a fancy predictive text". I'm certainly not in the "it's sentient!" camp, but it seems pretty obvious that a lot more is going on than just predicting the most likely next word.

Even if it's predicting word by word within a bunch of constraints & structures inferred from the question / prompt, then that's pretty interesting. Tbh, I'm more impressed by chatgpt's ability to appearing to "understand" my prompts than I am by the quality of the output. Even though it's writing is generally a mix of bland, obvious and inaccurate, it mostly does provide a plausible response to whatever I've asked / said.

Anyone feel like providing an ELI5 explanation of how it works? Or any good links to articles / videos?

And if so, how do they label headphones, contact lenses etc?

My nephews & nieces aren't currently allowed much computer access because their parents worry about screen time, inappropriate content and the like. But their mother was sharing concerns with me that they won't have the basic computer skills and understanding that we learned growing up in the 80s and 90s. Having to make computers work before you got your reward of a game was such a big motivation for me as a child. We learned to program in BASIC on spectrums and Amstrads (typing code for a game out of a magazine didn't require much knowledge but taught me a lot) and about memory management by fiddling around with AUTOEXEC.BAT/CONFIG.SYS to get DOS games running, and so on.

Are there any good educational computers / distros / OSes? Searching online mostly shows simplified GUI to access educational "games". But I was wondering if there was a Raspberry PI or linux fork or something, that was geared to create a challenging but supportive environment for learning the fundamentals.

Any suggestions?

Obviously, most social networks have some sort of engagement button for liking/up voting/promoting a piece of content. As well as helping users feel like they're participating, rather than just passively consuming, most networks also use the likes/ups to filter or promote content to other users.

As a dumb noob, what does the up/down vote do in lemmy in particular? Does it actually affect anything beyond changing the number beside the little arrows? I know there's some discussion about lemmy tracking 'karma' even if it's not visible in all clients. Can different instances implement "karma thresholds"? Or auto hide posts that fall beneath a certain down vote ratio?

And more subjectively, what do you feel up/down voting represents? Is it showing agreement with the post? That you want to see more posts like that? That other people should look at the post? Does it matter if this subjective purpose is actually unrelated to what the up votes do in reality?