>Any technically savvy person should be able to differentiate different types of upscaling algorithms.
Even the company who makes the software couldn't explain what was done to the picture when their "expert" was asked during the trial. There is a wide range of different methods that can be used to get more details out of a blurry pictures, including ML/AI-based algorithms that are indirectly getting extra details from other pictures.
>The quality that comes out of phone cameras is remarkable
It's more than that, it's completely mind blowing when you compare it to a DSLR.
In "good" lightning condition, your iphone will give you a picture 75% as good as what you could get with a 4k$ fullframe DSLR kit that's 10" long and weight a few pounds.
the problem is when light is not perfect, that's when the bigger lens/sensor are worth it even for a beginner that doesn't know much about photography. And if you need to edit your pictures, you don't get those extra stops of exposure up or down because the iphone already needed all the dynamic range of the sensor to create the picture you got.
It would be very interesting to see a colab between apple and a DSLR company to get the best of both world. A large FF senor and lens ecosystem like Canon combined with whatever dark magic Apple is doing on their tiny sensor would have massive potential.
>I can easily print out a high-quality Mona Lisa and put it on my wall, and I can enjoy it, but I wouldn't pretend I own it.
Even a half blind person would tell you the print doesn't look anything like the painting. If you want something that looks close to the really thing, it's difficult to make. There is modern art that would be cheap/easy to replicate (eg. a blank canvas made by artist trying to create a debate about what is art or not) but anything that you are likely to want on your wall will easily cost you >500$ to replicate properly in its original size (they are larger than they look).
>It is mathematically impossible to copy the NFT. It isn't the same smart contract, it isn't the same NFT. It is theoretically possible to arrange atoms in the precise location of a physical object, however.
I wrote it poorly, I was referring to the art behind the NFT that you can replicate easily. If I see a very cool picture and want to use it as my wallpaper on my laptop, I don't need to recreate the exact same smart contract with the same wallet key or pay for the NFT, I can just copy the picture in a few clicks. The picture will look the same with or without the NFT
1) Regardless of if the physical painting is the original or a copy made a talented painter, you can still enjoy how it looks on the wall. The painting doesn't magically disintegrate if you find out the certificate was forged. You also have no option but to buy it (or a replica) if you want to place it own your wall.
With an NFT, the art itself is available to anyone, regardless of if you own the NFT. You never needed to buy an NFT to enjoy the art. The only thing of value in an NFT is the NFT itself, not the art that it represent. If the NFT is not authentic, it's a much bigger deal because now it loses all of its value, not just a portion of it.
2) Creating a fake painting that looks "original", even to an amateur that doesn't know anything about art, is hard and expensive. Even when the painter isn't trying to pass it as the original one, it can easily cost thousands of dollars to get decent quality replica that looks close to the real thing.
To replicate the art of an NFT, it just takes a few clicks. It's not difficult or expensive to copy it. If you can't figure out how to do it, you probably don't need to spend more than 10$ to get someone online to do it for you.
That doesn't solve the issue. You have no way of knowing if the art I'm selling as NFT was made by me or if I copied it from the webpage/DeviantArt of an other artist. Being the first to create an NFT of an image doesn't mean you created the image. And if the images are slightly edited to prevent google image searches (or similar technique), people might never know that 3 people are selling the same stolen image.
it's none of these things because all you buy is an hyperlink. If the art itself was hosted on the blockchain directly (they are not, it would be too expensive), then it would be interesting.
I don't see how they do it "the expense of the American worker". It's a Chinese company founded in China by a Chinese man and selling worldwide online, it's perfectly normal for them to make their product in China.
They have been doing it since at least 2017. I noticed it on my account with Game of Thrones episode and when I googled it at the time, it was a known issue. They didn't warn you like they do for virus, the files simply wouldn't show up when people opened the shared folder.
I also learned the hard with PUBG that you need to use a separate steam account for these types of multiplayer games.
They refuse to share with you why you got ban or reverse it and they keep the money. I got my refund through Paypal and the warning Steam support gave me hinted that I'd lose my account if I did that a second time.
regarding your edit, IMO they shouldn't be allowed to permaban your account for a bad driver without first warning you that you need to update it. Even if they use a fake reason for it, turning off windows update shouldn't be a bannable offense.
The problem is also that people are using the word "ponzi" to describe every investment they think is bad and/or don't understand. offering high rates doesn't automatically means it's a ponzi. With the definition that some of you are using here, literally every single bank, currency, edge fund and all publicly traded companies would be a ponzi.
it also mean having high end plugins and integrating well with other industry-standard tools. That doesn't matter for home/amateurs users because you can't afford these tools anyway, but it does for studios.
Even the company who makes the software couldn't explain what was done to the picture when their "expert" was asked during the trial. There is a wide range of different methods that can be used to get more details out of a blurry pictures, including ML/AI-based algorithms that are indirectly getting extra details from other pictures.