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OpenAI now tries to hide that ChatGPT was trained on copyrighted books, including J.K. Rowling's Harry Potter series (www.businessinsider.com)
submitted 2 years ago by [M, B] to c/technology@lemmy.world
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OpenAI now tries to hide that ChatGPT was trained on copyrighted books, including J.K. Rowling's Harry Potter series::A new research paper laid out ways in which AI developers should try and avoid showing LLMs have been trained on copyrighted material.

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[–] 4 points 2 years ago (2 children)

Ehh, "learning" is doing a lot of lifting. These models "learn" in a way that is foreign to most artists. And that's ignoring the fact the humans are not capital. When we learn we aren't building a form a capital; when models learn they are only building a form of capital.

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  • [–] 4 points 2 years ago (2 children)

    Artists, construction workers, administrative clerks, police and video game developers all develop their neural networks in the same way, a method simulated by ANNs.

    This is not, "foreign to most artists," it's just that most artists have no idea what the mechanism of learning is.

    The method by which you provide input to the network for training isn't the same thing as learning.

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  • [–] 4 points 2 years ago (1 child)

    Artists, construction workers, administrative clerks, police and video game developers all develop their neural networks in the same way, a method simulated by ANNs.

    Do we know enough about how our brain functions and how neural networks functions to make this statement?

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  • [–] 2 points 2 years ago (1 child)

    Do we know enough about how our brain functions and how neural networks functions to make this statement?

    Yes, we do. Take a university level course on ML if you want the long answer.

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  • [–] 2 points 2 years ago

    My friends who took computer science told me that we don't totally understand how machine learning algorithms work. Though this conversation was a few years ago in college. Will have to ask them again

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  • [–] 1 point 2 years ago (1 child)

    ANNs are not the same as synapses, analogous yes, but different mathematically even when simulated.

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  • [–] 1 point 2 years ago

    This is orthogonal to the topic at hand. How does the chemistry of biological synapses alone result in a different type of learned model that therefore requires different types of legal treatment?

    The overarching (and relevant) similarity between biological and artificial nets is the concept of connectionist distributed representations, and the projection of data onto lower dimensional manifolds. Whether the network achieves its final connectome through backpropagation or a more biologically plausible method is beside the point.

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  • [–] 1 point 2 years ago (1 child)

    When we learn we aren't building a form a capital; when models learn they are only building a form of capital.

    What do you think education is? I went to university to acquire knowledge and train my skills so that I could later be paid for those skills. That was literally building my own human capital.

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