And this wasn’t just any but fuck man. It was the “perfect but fuck man I love”!
And this wasn’t just any but fuck man. It was the “perfect but fuck man I love”!
Right, thanks for the corrections.
In case of GAN, it’s stupidly simple why AI detection does not take off. It can only be half a cycle ahead (or behind), at any time.
Better AI detectors train better AI generators. So while technically for a brief moment in time the advantage exists, the gap is immediately closed again by the other side; they train in tandem.
This does not tell us anything about non-GAN though, I think. And most AI is not GAN, right?
As with other AI-enhanced jobs, that probably still means less jobs in the long run.
Now one artist can make more art in the same time, or produce different styles which previously had required different artists.
And this is why AI detector software is probably impossible.
What exactly is “this”?
Just about everything we make computers do is something we’re also capable of; slower, yes, and probably less accurately or with some other downside, but we can do it. We at least know how.
There are things computers can do better than humans, like memorizing, or precision (also both combined). For all the rest, while I agree in theory we could be on par, in practice it matters a lot that things happen in reality. There often is only a finite window to analyze and react and if you’re slower, it’s as good as if you knew nothing. Being good / being able to do something often means doing it in time.
We can’t program software or train neutral networks to do something that we have no idea how to do.
Machine learning does that. We don’t know how all these layers and neurons work, we could not build the network from scratch. We cannot engineer/build/create the correct weights, but we can approach them in training.
Also look at Generative Adversarial Networks (GANs). The adversarial part is literally to train a network to detect bad AI generated output, and tweak the generative part based on that error to produce better output, rinse and repeat. Note this by definition includes a (specific) AI detector software, it requires it to work.
Right? A self-assessed skill which is never tested is a funny thing anyways. It boils down to “I believe I’m good at it because I believe my belief is correct”. Which in itself is shady, but then there are also incentives that people rather believe to be good, and those who don’t probably rather don’t speak up that much. Personally, I believe people lack the competence to make statements like these with any significant meaning.
“Monad” is a shorter term though. “Structured data type” reads almost as bulky as “Curve of constant normal intersection points”.
Yes, my favorite comment:
pulls out the power cord for the monitor
Job done!
followed by:
Attacker must have had 5 people on the keyboard.
Seems appropriate for a generous pizza. You developers love pizza, right?
Me in tech support.
Customer calls: “Internet is not working!!”
Me: “Router lights status?”
Customer: “Can’t tell.”
Me: “Why?”
Customer: “Router still in box.”
Me: “…?”
Me (pretends it was just an error of communication): “Can you please describe the lights on your router?”
Customer: “I can’t. It’s still in the packaging. The box is on my table.”
Me: “…??? … You … need at least electricity to power this device.”
Customer spirals into rage and madness: “I ordered wireless internet!! I won’t plug any cables in! I did not want any wires!!!”
Which might be seen as a positive by some people (not me).
It encourages social interaction. Every answered question becomes a valid option to ask again just a short time later. And to answer again.
It also takes the burden to search from those who have questions. Just keep the chat flowing.
Maybe it’s a bit like asking people on the street for directions, instead of using your phone. Less efficient and accurate, but you might get a smile in the process.
One is multiple parallel goals. Makes it hard to stop playing, since there’s always something you just want to finish or do “quickly”.
Say you want to build a house. Chop some trees, make some walls. Oh, need glass for windows. Shovel some sand, make more furnaces, dig a room to put them in - oh, there’s a cave with shiny stuff! Quickly explore a bit. Misstep, fall, zombies, dead. You had not placed a bed yet, so gotta run. Night falls. Dodge spiders and skeletons. Trouble finding new house. There it is! Venture into the cave again to recover your lost equipment. As you come up, a creeper awaitsssss you …
Another mechanism is luck. The world is procedurally generated, and you can craft and create almost anything anywhere. Except for a few things, like spawners. I once was lucky to have two skeleton spawners right next to each other, not far from the surface. In total, I probably spent hours in later worlds to find a similar thing.
The social aspect can also support that you play the game longer or more than you actually would like. Do I lose my “friends” when I stop playing their game?
I don’t think Minecraft does these things in any way maliciously, it’s just a great game. But nevertheless, it has a couple of mechanics which can make it addictive and problematic.