Because the AI code is storing data from the training set, to build the algorithm.

Code takes data. Codes stores data in computer’s memory, code pulls data, to compute the algorithm, based on user input. Algorithm output is the combination of user input and the data used to build the model.

The biggest bottleneck in analytics is memory. That’s why Hadoop is also becoming a big deal, so an analyst can use the memory of multiple computers at the same time. Which means memory and the data used in memory is an aspect of a machine learning program.

Ya, updated the comment. However, my point stands. The programmer will setup the code to use the computer’s RAM. When then RAM is updated to build the training data, it’s part of the program.

The code in the AI has memory. The memory is updated using the copyrighted works. Then the code will call that memory to build a new image.

Yes it does. You are just showing me you don’t know anything about AI.

Yes it does. Because the machine learning algorithm is only using copyrighted work, to create an output. A human can look at a tree and use that as inspiration. It’s not that hard to comprehend.

People can also take inspiration from every other object to build artwork. This machine learning, is only using artwork, so the sample size is much smaller for the machine learning, and that means the machine learning has a limited scope to learn about art.

Machine Learning learning requires a training set to build the model. The models used build artwork is still a byproduct from using copying other people’s work. Also there is no comparison of AI learning and people learning new ideas. AI literally has to use copyrighted work to build the query setup by the user. A person is able to think on their own and create new work.

Tell me you know nothing about machine learning, without using the term machine learning.

Programmers are copying other people’s images to build the AI. That’s the underlying issue.