zlacker

What would be the basis of a distinction between artificial vs. wetware intelligence? In both cases, a neural network is being trained.

>>breadw+(OP)
Scale and speed of adoption influencing the impact on the value of the source material.

A person can only service a few projects a year and it takes day or weeks on ingest new knowledge. A trained network only needs to train once and faster than a person, it can then be replicated and is only limited by computing power.

That skews the market and the value of the books. I would not write a book if it was then ingested by and AI and never sold to a person.

>>Manfre+53
If that logic is allowed to take hold, consider this: Would it make sense to charge a smarter person more for reading the same book?

For example, if a college professor reads a book, and then uses the knowledge gained to teach, that reduces the value of the book (assuming the professor doesn't then use the book as the textbook for a course).

>>breadw+(OP)
AI parameters are at least theoretically ownable while physical collections of neurons are not ownable as per 14A. So long as AI researchers are going to assert ownership over their network parameters, then they also need to conform to the ownership rules over the things they train the parameters against.

Of course, those ownership rules are garbage, but the tech industry stopped caring about copyright reform back in like 2004.

>>breadw+A8
It might make sense as a theoretical approximation of the value proposition. But you're going to piss people off if you try, so it's probably not a great sales technique.