Weapons detections systems send automated alerts. The specific form depends on the system. But no system is dialing up unanticipating randos on the phone and going, "Hello, police? I've got an emergency here!"

And unless the system had facial ID, and the police knew the "suspect", what they had to go on was the picture from the security camera, so they were already looking at the supposed "gun" in the picture and still saw fit to act like this.

I was not talking about frame tweening. I was talking about tools to create game assets, as was the article in question.

The job is only dangerous in the big cities.

You have some weird conceptions about big cities. Homicide rates aren't an urban vs. rural thing, they're a north vs. south thing . It's the south that has the high per-capita murder rate. Which is in turn because said areas are the poorest places in the US. The trend holds true even in areas that are relatively culturally homogenous - for example, there's not much of a difference in culture between northwest Texas rural counties and northeast Texas rural counties, but northwest Texas is much wealthier per-capita, and also has a much lower homicide rate.

The TL/DR: crime correlates with despair, and places like the Mississippi Delta are characterized by chronic high unemployment, low wages, and limited access to quality education and resources. This combines with a legacy of racial violence/mistrust and lax firearm laws, and the result is exactly what one would expect.

One could make the argument that, well, okay, it may be the rural south that has a high murder rate per capita, okay, but there's lots of people in big cities, so it's a multiplier. Yes, that's true, but there's also lots of cops in big cities, so it doesn't change their odds of being the one responding to a situation where shots are fired, to the degree that police departments are equally well staffed per-capita.

It's also worth mentioning that the rural crime rate trends in the US are much worse than the urban crime rate trends. I hate to risk derailing this by the meremention of Trump, but he tapped into a very legitimate wellspring of anger; the economic growth in the US over the past several decades has been very uneven, and a lot of people, esp. in rural areas, the rust belt, and the south have felt left behind, with insufficient care from politicians as to their plight. While the ragebait media landscape has tended to try to focus their anger on cities and minorities, as "evil outsiders catered to by elites", US cities are, frankly, doing quite well on average, and have thrived in the US's growing service economy. But people in the rural south, the Mississippi Delta, the rust belt, etc (outside of the "energy belts", like in west Texas, that produce oil, gas, wind power, etc)... their lived experiences of a lack of opportunity and declining communities are very much real. They're just projecting them (wrongly) onto big cities outside of their region.

Bad pay, no college education required, but granted the ability to exert power over others... exactly what sort of person do you think you're going to attract with that sort of job description?

Nobody called anybody. It's a weapons detection system. They're deliberately running it. The article makes it sound like ChatGPT got bored, started watching webcams, and decided to narc on the Doritos Guy. That's not even close to what happened.

From TFS, there's no indication either way of whether they had seen the picture before, and if I had to argue either way from the wording, I'd go with "yes, they had".

Also, when did we switch from calling weapons detections systems "weapons detections systems" to "artificial intelligence systems"? It's still true, but a much less useful choice of wording, and is probably going to make some readers think they were shoving video feeds through ChatGPT or something.

Also, in the picture, it was clearly their cell phone and how they were holding it that triggered the alert, not the Doritos bag.

"And your etymology is a fantasy. "

You've confused c.f. with e.g..

Only if you want your delivery to be very expensive. The article kind of didn't bother to mention that only the ZQ-3's first stage is reusable, so it's more like a "Starship-esque Falcon 9", both in terms of reusability, size, payload, diameter, etc..

Seriously, what's the point of using AI to generate details that even bleeding edge hardware can't run at a decent framerate

I don't know what you're talking about. This is as far as I can tell about the process of creating game assets in the first place - not about generating them in realtime. It doesn't have any impact on performance.

I've used AI model generators (mainly image-to-model), and for game-type assets, they're usually good enough, though you still of course want a human to exert control over them. But it's way faster than from-scratch modeling. For say 3d printing, though, you really need to decompose the image into smaller components, process each individually, and merge, because otherwise too much fine detail gets lost into the texture instead of being part of the actual model. Regardless, they've been improving at a good pace. I haven't tried (as I've not had a need) but I think they now have model generators that even rig the models.

IMHO, the most interesting thing they did was with the palette. They were obsessed with getting not just images snapped by the satellite as the sky, but having them actually look good, and even a "smart" mapping algorithm to the in-game palette wasn't good enough for them. So they wrote an algo to simultaneously choose a palette for both the colours in the satellite image and the colours in the game's graphical assets so it would pick colours best for both of them, and then remapped both the satellite image and the game's assets to this new palette. Also, normally satellite images are denoised on the ground, but a partner had gotten a machine learning denoising algo running on the satellite.

One thing they weren't able to deal with was that the game tiles the sky background, which is fine because it's a tileable image, but obviously random pictures of Earth aren't (except the nighttime images, which are all black!). If they had had more time, I imagine they would have set up something like heal selection to merge the edges, but one of the problems was that in order to take images of Earth, the satellite had to be oriented in a way that increased its drag and accelerated its deentry... so ironically, playing DOOM was accelerating the satellite's doom.

Here's a presentation from Ólafur.

Accurate statement: "Humans invented a way to harness CRISPR/Cas9 to create transgenic organisms"

Inaccurate statement: "Humans invented CRISPR/Cas9"

This isn't complicated.

If there were animals adeptly using fire long before humans existed, we would not call humans the first to "master fire" just because humans understood what they were doing.

Here is a list of all the animals besides humans who have mastered the use of CRISPR technology:

FYI, humans didn't invent CRISPR/Cas9 - bacteria and archaea did.

https://en.wikipedia.org/wiki/CRISPR

It's an antiviral immune system. They bait bacteriophages into inserting their genes into noncoding regions of their genome, and then use CRISPR/Cas9 to match up anything from these noncoding regions that are in their coding regions, and to cut it out.

We humans stole that tech from them :) They mastered it long before we ever existed.

To pay a fitting tribute to the man, I'd drop the coin into a dish of acid, but then instead of saving it while there was plenty of time left, I'd leave it to be slowly eaten away while occasionally dropping in healing herbs and drops of organic fruit juices, and then only try to rescue it once it was far too late