[palmotea]

> Simply, if the models can think then it is no different than a person reading many books and building something new from their learnings.

No, that's fallacious. Using anthropomorphic words to describe a machine does not give it the same kinds of rights and affordances we give real people.

[pavon]

The judge did use some language that analogized the training with human learning. I don't read it as basing the legal judgement on anthropomorphizing the LLM though, but rather discussing whether it would be legal for a human to do the same thing, then it is legal for a human to use a computer to do so.

  First, Authors argue that using works to train Claude’s underlying LLMs was like using
  works to train any person to read and write, so Authors should be able to exclude Anthropic
  from this use (Opp. 16). But Authors cannot rightly exclude anyone from using their works for
  training or learning as such. Everyone reads texts, too, then writes new texts. They may need
  to pay for getting their hands on a text in the first instance. But to make anyone pay
  specifically for the use of a book each time they read it, each time they recall it from memory,
  each time they later draw upon it when writing new things in new ways would be unthinkable.
  For centuries, we have read and re-read books. We have admired, memorized, and internalized
  their sweeping themes, their substantive points, and their stylistic solutions to recurring writing
  problems.

  ...

  In short, the purpose and character of using copyrighted works to train LLMs to generate
  new text was quintessentially transformative. Like any reader aspiring to be a writer,
  Anthropic’s LLMs trained upon works not to race ahead and replicate or supplant them — but
  to turn a hard corner and create something different. If this training process reasonably
  required making copies within the LLM or otherwise, those copies were engaged in a
  transformative use.

[1] https://authorsguild.org/app/uploads/2025/06/gov.uscourts.ca...

[trinsic2]

Yeah I see the point, but is still thing there is a differnce between human learning and machine learning creatively, see my post above connected to the parent.

[jimbob21]

Actually, it does, at least for this case. The judge just said so.

[NoOn3]

People have rights, machines don't. Otherwise, maybe give machines the right to vote, for example?...

[kube-system]

This case is more like:

If a human uses a voting machine, they still have a right to vote.

Machines don't have rights. The human using the machine does.

[protocolture]

If I can use my brain to learn, I as a human can use my computer to learn.

Its like, taking notes, or google image search caching thumbnails. Honestly we dont even need the learning metaphor to see this is obviously not an infringement.

[palmotea]

> If I can use my brain to learn, I as a human can use my computer to learn.

No, you can't. The only thing you can learn with is your own mind (e.g. loading notes into your laptop is not you learning).

[protocolture]

Right but there's more potential reproducibility in the notes than the AI model. Like other than some philosophical aversion to the word "Learn" its clearly not infringing.

>loading notes into your laptop is not you learning

I dont want to get too distracted by this, but tptb really hate me (questioning american notions of excellence draws the eye of sauron) and have limited my posting. Note taking is actually crucial to my actually learning things. I am largely a kinaesthetic learner, but when it comes to pure data retention, if I am not writing it out, it goes straight through. Note taking is crucial to my learning new things and retaining data, and I know I am not the only one.

Heck its a common (or was common) for writers to completely rewrite, by hand the books of "great" authors to try and learn their "voice".