It comes down to how transformative the work is. They look at things like how much of the existing work you used and how much creative changes were made.
So grabbing your 9 favorite paintings and putting them in 3x3 grid is not going to give you fair use.
Cutting out sections of faces from different works and stitching them together into a franken face could give you enough for fair use if you made it different enough.
There were similar debates about photographs and copyright. It was decided photographs can be copyrighted even though the camera does most of the work.
Even when you have copyright on something you don’t have protection from fair use. Creativity and being transformative are the two biggest things that give a work greater copyright protection from fair use. They at are also what can give you the greatest protection when claiming fair use.
See the Obama hope poster vs the photograph it was based on. It’s to bad they came to an settlement on that one. I’d have loved to see the courts decision.
As far as training data that is clearly a question of fair use. There are a ton of lawsuits about this right now so we will start to see how the courts decide things in the coming years.
I think what is clear is some amount of training and the resulting models fall under fair use. There is also some level of training that probably exceeds fair use.
To determine fair use 4 things are considered. https://www.copyright.gov/fair-use/
1 Purpose and character of the use, including whether the use is of a commercial nature or is for nonprofit educational purposes.
This is going to vary a lot from training model to training model.
Nature of the copyrighted work.
Creative works have more protection. So training on a data set of a broad set of photographs is more likely to be fair use than training on a collection of paintings. Factual information is completly protected.
-> Amount and substantiality of the portion used in relation to the copyrighted work as a whole.
I think ai training is safe here. Once trained the ai data set usually doesn’t contain the copyrighted works or reproduce them.
Effect of the use upon the potential market for or value of the copyrighted work.
Here is where ai training presumably has the weakest fair use argument.
Courts have to look at all 4 factors and decide on the balance between them. It’s going to take years for this to be decided.
Even without ai there are still lots of questions about what is and isn’t fair use.
Low risk but inflation is above 3% so you are looking at less than 2% effective granted it’s a fairly safe investment.
Money market or CD is going to have terrible return. You will be lucky to match inflation. Get a low overhead SP 500 index fund. By low overhead I’m taking .15% or less. You should be able to find .125% with a bit of poking around.
Ubisoft isn’t making money. That’s something wrong as far as the board is concerned.
Interestingly enough Luca Galante the creator spent 10 years coding digital slot machines. He used a lot of the techniques used by them to keep you playing. He just did it in a way to maximize fun instead of micro transactions.
The solution for this is usually counter training. Granted my experience is on the opposite end training ai vision systems to id real objects.
So you train up your detector ai on hand tagged images. When it gets good you use it to train a generator ai until the generator is good at fooling the detector.
Then you train the detector on new tagged real data and the new ai generated data. Once it’s good at detection again you train the generator ai on the new detector.
Repeate several times and you usually get a solid detector and a good generator as a side effect.
The thing is you need new real human tagged data for each new generation. None of the companies want to generate new human tagged data sets as it’s expensive.
It’s not meant to be able to be passed. It’s just a way of giving them a reason to deny you a vote if your skin was the wrong color.
Because it’s easy at the local level to selectivity apply the rules and only allow the people you want to vote. Here is an actual literacy test that was used. Hint if you were white you passed if not you failed.
That’s why they loaned him the money. Most of his wealth is Tesla stock. He either needed loans or to sell a bunch of stock.
Yeah I remember when cmdrtaco was in charge. It was great back then. Now it’s full of anti woke stuff.
He bought twitter because he was trying to do a pump and dump with the stock. Then the SEC said we warned you once you better be serious this time. He decided buying twitter for a massive premium was better then possible prison time.
In Africa because of the large number of languages they put pictures of what’s in the package on the label. Gerber baby food had some issues when it first sold in Africa.
And it worked before streaming came around. Now cable subscriptions are in free fall and they don’t know what to do.
Actually it’s the name for a mix of vinegar, garlic, and herbs that was a home remedy to help prevent the plague.
Rich white guys should be in charge isn’t exactly new or unusual as far a racism goes.
There are a ton of basic errors in this video. It’s very amateurish. For example he say alcoholism killed 1/3 of the population not 1/3 deaths are du to alcoholism.
Agreed. Meats are usually best at 1 -1.5 % salt by weight. Equlibrium brines are a game changer. For boneless meat take a equal amount of weight it water to meat and set the salt to 3% water weight. It will balance out at about 1.5% salt in the meat. It takes about 24 hours per inch of thickness in the thinist side.
So 1kg meat 1kg water 30g salt.
For meat with bones reduce the meat weight in the calculation by estimating how much is bone. For a T bone reduce by about 15% for baby back ribs 40-50%.
People are a renewable resource.
If only he had some way of reducing the amount of bombing.