Reads bit on dictator-propping via propaganda in Sudan.

Nods. Yep, that sounds like my government alright. And Big Tech. Cries inside.

Veers off to “Ukraine Proxy War” with no reference to ChatGPT as promised in the headline.

Sighs. Closes tab.

The junocam page has raw shots from the actual device: https://www.msss.com/all_projects/junocam.php

Caption of another:

Multiple images taken with the JunoCam instrument on three separate orbits were combined to show all areas in daylight, enhanced color, and stereographic projection.

In other words, the images you see are heavily processed composites…

Dare I say, “AI enhanced,” as they sometimes do use ML algorithms for astronomy. Though ones designed for scientific usefulness, of course, and mostly for pattern identification in bulk data AFAIK.

…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/

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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?

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.

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.

This is why work/life balance is so important. I wouldn’t ever call myself “well-off” but I don’t have kids and my job allows me ample time off to play games and watch movies and shit.

Neither do they! They aren’t workaholics, they’re home bodies that work the least they can!

It’s just that the workplaces are shit. One went back to mandated RTO for no reason even though much of the work is overseas at odd hours. The company’s literally trying to make employees miserable so they quit without severence. The other is work-from-home, but with enough pointless meetings and complete workplace dysfunction to eat energy.

And these seem like well above average jobs.

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…

next Xbox

If it’s really a PC, I bet AMD customized Strix Halo (their 40 CU APU) for Microsoft instead of doing a fully custom chip like before.

It’d save them money (as custom chip tapeouts are 9 figures last I heard). I bet Microsoft couldn’t help themselves, heh.

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.

+1 to literally everything.

Fuck brand recognition or loyalty, fuck development talent, fuck community building, fuck long-term strategy, we can realize a gain right now by sowing half the planet with salt, so that’s what we’re going to do. So what is there for people to buy?

I wish this would fit on a bumpersticker.

That noise you heard last week was Xbox’s death rattle. One out of the three mainstream home console platforms is an outright stupid idea to buy now.

And wasn’t Sony the big risk of bowing out before? And then we got the Switch 2… It’s remarkable that Microsoft somehow made Xbox the least likely to survive.

Single data point: my young, working, well off gaming part of my family is just out of energy. It’s easier to watch a YouTube video instead of TV or gaming, before then falling asleep to wake up for work. Seems like much of their circle is similar.

As for myself, I’m going through a, uh, icky phase of life and am not really motivated to play unless it’s coop.

…Maybe others are struggling similarly?

Also, the games we do look at tend to be from indie to mid-size studios, with BG3 and KCD2 being the only recent exceptions.

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.

Most of the US believes in this, or is just unaware. That’s how its been for most of history around the world.

…The remarkable issue here is the elites/rules we handed the reigns now drink their own kool-aid. The very top of most authoritarian regimes are at least cognisant of some hypocrisy, even if ideology eats them some.

The other is that people are more ‘connected’ than ever, but to disinformation streams. I feel like a lot of the world (especially the US fancies) themselves as super smart on shit they know nothing about because of something they saw on Facebook or YouTube.

Yes, but its clearly a building block of Meta’s LLM training effort, and part of a pattern.

One implication I didn’t mention, and don’t have hard proof I can point to, is garbage in garbage out. Meta let AI slop and human garbage proliferate on Facebook, squandering basically the biggest advantage (besides cash) they have. It’s often speculated that, as it turns out, Twitter and Facebook training data is kinda crap.

…And they’re at it again. Zuckerberg pours cash into corporate trash and get slop back. It’s an internal disaster, like their own divisions.

On the other side, it’s often thought that Chinese models are so good for their size/compute because they’re ahem getting data from the Chinese government, and don’t need to worry about legal issues.