Also a crime. Not just a great game in their niche, but a long history of them.

Never underestimate Phil Spencer.

Always Spongebob first.

Really though, glad Viacom is spotlighting the franchise. TMNT and Spongebob are huge, #3 behind that is big.

Both can be true, that the Democrats suck and that one should still vote strategically, especially if you’re gonna skip primaries (as most, statistically, do). The analogy holds, even if it’s fruity and won’t get anyone on.

The Republicans won because they have no problem swallowing bile; apparently thats the game now.

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.

(NCD Mode)

I hate to say it, but from Kim’s perspective, this makes sense. It battle tests equipment, gives troops real experience and gets kudos with someone other than China so they aren’t so reliant on them. It’s not directly aggressive to SK, either, and an unstable Russian neighbor is not what they want.

I can’t imagine what this is like from the troop’s perspective though. Live life in NK with the south as your enemy, then get shipped north to fight in the cold somewhere you know nothing about.

OK, while in principle this looks bad…

This is (looking it up) like an experienced engineer’s salary in Peru, in line with some other professions.

It’s reasonable to compensate a president, and for the expectation to not be coming in rich/connected enough to not need a salary. Nor for them to broker power for personal wealth, all as long as other offices and reasonably compensated too.

It avoids perverse incentives, doesn’t seem excessive and TBH is probably a drop in the Peruvian govt’s budget.

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/

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.