…iOS forces uses Apple services including getting apps through Apple…

Can’t speak to the rest of the claims, but Android practically does too. If one has to sideload an app, you’ve lost 99% of users, if not more.

It makes me suspect they’re not talking about the stock systems OEMs ship.

Relevant XKCD: https://xkcd.com/2501/

deleted by creator

Aren’t fighters dead?

Look, I like cool planes, but military scenarios where 5-500 drones are worse than a single mega expensive jet not already covered by existing planes/missiles seem… very rare.

Look at Ukraine’s drone ops. I mean, hell, imagine if the DoD put their budget into that.

Not a great metric either, as models with simpler output (like text embedding models, which output a single number representing ‘similarity’, or machine vision models to recognize objects) are extensively trained.

Another example is NNEDI3, very primitive edge enhancement. Or Languagetool’s tiny ‘word confusion’ model: https://forum.languagetool.org/t/neural-network-rules/2225

What about ‘edge enhancing’ NNs like NNEDI3? Or GANs that absolutely ‘paint in’ inferred details from their training? How big is the model before it becomes ‘generative?’

What about a deinterlacer network that’s been trained on other interlaced footage?

My point is there is an infinitely fine gradient through time between good old MS paint/bilinear upscaling and ChatGPT (or locally runnable txt2img diffusion models). Even now, there’s an array of modern ML-based ‘editors’ that are questionably generative most probably don’t know are working in the background.

that’s a weird hill to die on, to be honest.

Welcome to Lemmy (and Reddit).

Makes me wonder how many memes are “tainted” with oldschool ML before generative AI was common vernacular, like edge enhancement, translation and such.

A lot? What’s the threshold before it’s considered bad?

Well, exactly. Trump apparently has a line to Apple and could probably get Tim to take it down.

Yep.

It’s not the best upscale TBH.

Hence I brought up redoing it with some of the same techniques (oldschool vapoursynth processing + manual pixel peeping) mixed with more modern deinterlacing and better models than Waifu2X. Maybe even a finetune? Ban.

How does this make any sense?

Shouldn’t they be suing Apple to take it down if they don’t like it? I know they just want to weaken press, but it feels like an especially weak excuse.

Pro is 120hz.

But they are expensive as heck. I only got the 16 Plus because its a carrier loss leader, heh.

And wouldn’t fix some of my other quibbles with iOS’s inflexibility. My ancient jailbroken iPhone 4 was more customizable than now, and Apple is still slowly, poorly implementing features I had a decade ago. It’s mind boggling, and jailbreaking isn’t a good option anymore.

Nah I meant the opposite. Journalistic integrity was learned through long, hard history.

Now that traditional journalism is dying, its like the streamer generation has to learn it from scratch, heh.

I got banned from a fandom subreddit for pointing out that a certain fan remaster was (partially, with tons of manual work) made with ML models. Specifically with oldschool GANs, and some smaller, older models as part of a deinterlacing pipeline, from before ‘generative AI’ was even a term.

My last Android phone was a Razer Phone 2, SD845 circa 2018. Basically stock Android 9.

And it was smooth as butter. It had a 120hz screen while my iPhone 16 is stuck at 60, and I can feel it. And it flew through some heavy web apps I use while the iPhone chugs and jumps around, even though the new SoC should objectively blow away even modern Android devices.

It wasn’t always this way; iOS used to be (subjectively) so much faster that it’s not even funny, at least back when I had an iPhone 6S(?). Maybe there was an inflection point? Or maybe it’s only the case with “close to stock” Android stuff that isn’t loaded with bloat.

Random aside, I switched from Android to iOS a year ago. I miss Android already.

The UI is more convoluted an clunky than iOS from years ago, just as uncustomizable, and performs shockly bad on heavy webpages on a brand new 16+. It’s got no freaking RAM, no sd card slot. Some free FOSS apps are nonexistant or paid only.

Security and OOTB privacy is better and app support is generally better, but that’s about it? I’d probably keep an iPhone around to bank on when I eventually switch…

And I shit you not, latinos will still vote MAGA in droves in 2026, and once again, analysts and Democrats will be left scratching their head wondering why while literally everyone they pass on the street is glued to their phone.

Maybe if they keep campaigning like it’s 1950, it’ll eventually work?

Its kinda like influencers (and their younger viewers) are relearning the history of journalism from scratch, heh.

Surpressing sponsors is a perverse incentive too; all the more reason to not disclose who’s paying the creator.

And yeah, any ‘moral’ justification for web ads is dead like 100 times over. I hate how hard it makes life for ‘old web’ style sites with like one innocent banner ad, but still.

Chrome?

It’s probably a security risk like Android, and the vast majority use it.

Also, apps are better at sending notifications (like ICE warnings). IMO this is a pretty decent justification for an ‘iOS only’ app.

even if it meant publishing on F-Droid instead of Google Play.

Sadly this means it’s not accessible to like 95% of people, even if driven to install it.

One thing about Anthropic/OpenAI models is they go off the rails with lots of conversation turns or long contexts. Like when they need to remember a lot of vending machine conversation I guess.

A more objective look: https://arxiv.org/abs/2505.06120v1

https://github.com/NVIDIA/RULER

Gemini is much better. TBH the only models I’ve seen that are half decent at this are:

• “Alternate attention” models like Gemini, Jamba Large or Falcon H1, depending on the iteration. Some recent versions of Gemini kinda lose this, then get it back.

• Models finetuned specifically for this, like roleplay models or the Samantha model trained on therapy-style chat.

But most models are overtuned for oneshots like fix this table or write me a function, and don’t invest much in long context performance because it’s not very flashy.