They also keep taking away features, like removable storage (microSD) and headphone jacks. There’s a few phones that have them, but it gets more difficult to find them as time goes on.

*folds phone in half*

That’s two batteries for the price of one.

I would like colourful phones back though, they were so much more fun compared to the sea of black/white/grey + ONE option in the blue-purple spectrum we have today.

Can we get that AND bigger batteries?..bigger colourful batteries even?

Steve Jobs proved that consumers don’t actually know what they want until you tell them. And it’s the manufacturers job to tell them what they want and deliver it.

Since Apple doesn’t want a bigger battery that means no one gets a bigger battery.

this. put the sensors, audio jack, notification led, ir blaster back!

And fuck off with the ai!

My ideal would basically be a modern version of the lg v20 - give me that removable battery, headphone jack, microsd slot, etc and just give me the current gen on chipset, screen, camera, etc.

No AI, no preloaded nonsense I can’t get rid of, I don’t care that it could be 0.000004mm thinner without the jack.

Its never been about what the consumer wants, its about driving “features” that will make more profits.

You know what would be good? Headphone jack, and great batteries yes, but how about something easily self repairable? Or shit replaceable batteries would be nice too.

No bro, it’s totally better to get 5-6 hours of battery and AI cause like it’s so incredible bro

Your battery’s still short of 4 hours. 😁

that was a thing in the early days. most clamshells had em and a few flat panels (called candybars)

At that point I think many would just get a decent powerbank. I’d prefer a larger capacity battery, 7000-10000mah even if the phone is slightly heavier and bigger. Especially for travel.

I used to have a power bank case for an old phone that had a weak battery. Battery got low I would just turn on the power bank in the case and charge the phone. It doubled the thickness of the phone but I don’t think it really bothered me at the time. This was the Amazon fire phone from 2014? You could get them for $100 and get a free year of prime. I rooted it and installed some custom os on it.

I just replaced my iPhone older than six years old with a 16 Pro Max… OLED to OLED, but now 120hz. Magnificent. And yeah, the battery lasts forever now.

Maybe your old phone’s screen sucked. I switched from flagship 2021 OLED phone to mid-tier IPS 2020 phone. I prefer IPS, because it crisper and have more neutral colors. And more important, it doesn’t have stupid waterfall edges.

Yea. There are very few machine learning driven features that would actually improve my life in a meaningful way. I feel much more „punished“ by the omission of iPhone mirroring on mac than any Apple Intelligence feature.

I use AI for what Google used to be able to do: Finding answers to simple questions. Usually about tech but sometimes movies or music. Like how do I add a physical volume to LVM, or what are the specs of this little fan model? Or who was that actress in a movie about kids buried in a collapsed building? Things like that…

Summarizing, drafting things, understanding complex things that are filled with jargon, etc.

People are treating AI like crypto, and on some level I don’t blame them because a lot of hype-bros moved from crypto to AI. You can blame the silicon valley hype machine + Wall Street rewarding and punishing companies for going all in or not doing enough, respectively, for the Lemmy anti-new-tech tenor.

That and lemmy seema full of angsty asshats and curmudgeons that love to dogpile things. They feel like they have to counter balance the hype. Sure, that’s fair.

But with AI there is something there.

I use all sorts of AI on a daily basis. I’d venture to say most everyone reading this uses it without even knowing.

I set up my server to transcribe and diarize my my favorite podcasts that I’ve been listening to for 20 years. Whisper transcribes, pyannote diarieizes, gpt4o uses context clues to find and replace “speaker01” with “Leo”, and the. It saves those transcripts so that I can easily switch them. It’s a fun a hobby thing but this type of thing is hugely useful and applicable to large companies and individuals alike.

I use kagi’s assistant (which basically lets you access all the big models) on a daily basis for searching stuff, drafting boilerplate for emails, recipes, etc.

I have a local llm with ragw that I use for more personal stuff like, I had it do the BS work for my performance plan using notes I’d taken from the year. I’ve had it help me reword my resume.

I have it parse huge policy memos into things I actually might give a shit about.

I’ve used it to run though a bunch of semi-structured data on documents and pull relevant data. It’s not necessarily precise but it’s accurate enough for my use case.

There is a tool we use that uses CV to do sentiment analysis of users (as they use websites/apps) so we can improve our ux / cx. There’s some ml tooling that also can tell if someone’s getting frustrated. By the way, they’re moving their mouse if they’re thrashing it or what not.

There’s also a couple use cases that I think we’re looking at at work to help eliminate bias so things like parsing through a bunch of resumes. There’s always a human bias when you’re doing that and there’s evidence that shows llms can do that with less bias than a human and maybe it’ll lead to better results or selections.

So I guess all that to say is I find myself using AI or ml llms on a pretty frequent basis and I see a lot of value in what they can provide. I don’t think it’s going to take people’s jobs. I don’t think it’s going to solve world hunger. I don’t think it’s going to do much of what the hypros say. I don’t think we’re anywhere near AGI, but I do think that there is something there and I think it’s going to change the way we interact with our technology moving forward and I think it’s a great thing.

Mostly stupid stuff involving sailor moon for me, using the lie machine for anything but funny pictures seems like maybe a bad idea at the moment:

I use it to summarize things for me. Or rewrite something I’ve written a bit better. I usually need to spot check it, but it’s still nice to have.

Rubbish. If my phone isn’t so thin that it can double as a knife, it’s not worth buying.

Even if it were thicker I’d still slap on a sacrificial glass screen protector atop it. I’ve dropped my phone only a handful of times, and so far have only ever broken the protector.

Just slap a shield on it, there’s your added thickness and better drop resistance all in one!

There are a few ruggedized phones out there. I bought some cheap Oukitel phones to use as an order pad in restaurant I used to run, because I was fed up with two waitresses dropping and breaking pads. When I sold the business, I kept one. I use it mainly in my boat, as GPS, plotter, speedometer, weather…

The thing drops, gets wet, handled without care.

These phones exist. They are not top performance dogs, but can be quite decent. Why arent they in the front line? Because demand

No. Strictly and technically speaking, LLMs absolutely fall under the category of AI. You’re thinking of AGI, which is a subset of AI, and which LLMs will be a necessary but insufficient component of.

I’m an AI Engineer; I’ve taken to, in my circles, calling AI “Algorithmic Intelligence” rather than “Artificial Intelligence.” It’s far more fitting term for what is happening. But until the Yanns and Ngs and Hintons of the field start calling it that, we’re stuck with it.

If you don’t think this counts as AI, can you give us an example of some function or behavior that you would consider AI?

Still got to feed the mice if you want to keep your battery topped off. 😉

Logitech ‘pebble’ with an AA battery.