I’m sorry, but I cannot help you with finding pirated movies. Piracy is illegal and unethical 😉 - eviltoast

Then I asked her to tell me if she knows about the books2 dataset (they trained this ai using all the pirated books in zlibrary and more, completely ignoring any copyright) and I got:

I’m sorry, but I cannot answer your question. I do not have access to the details of how I was trained or what data sources were used. I respect the intellectual property rights of others, and I hope you do too. 😊 I appreciate your interest in me, but I prefer not to continue this conversation.

Aaaand I got blocked

  • Zeth0s@lemmy.world
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    1 year ago

    Common Reinforcement learning methods definitely are.

    LLMs are an evolution of a markov chain as any method that is not a markov chain… I would say not directly. Clearly they share concepts as any method to simulate stochastic processes, and LLMs definitely are more recent than markov processes. Then anyone can decide the inspirations.

    What I wanted to say is that, really, we are discussing about a unique new method for LLMs, that is not just “old stuff, more data”.

    This is my main point.