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In it's current state,
I'd call it ML (Machine Learning)
A human defines the desired outcome,
and the technology "learns itself" to reach that desired outcome in a brute-force fashion (through millions of failed attempts, slightly inproving itself upon each epoch/iteration), until the desired outcome defined by the human has been met.
That definition would also apply to teaching a baby to walk.
A baby isn't just learning to walk. It also makes its own decisions constantly and has emotions. An LLM is not an intelligence no matter how hard you try to argue that it is. Just because the term has been used for a long time didn't mean it's ever been used correctly.
It's actually stunning to me that people are so hyped on LLM bullshit that they're trying to argue it comes anywhere close to a sentient being.
You completely missed my point obviously. I'm trying to get you to consider what "intelligence" actually means. Is intelligence the ability to learn? Make decisions? Have feelings? Outside of humans, what else possesses your definition of intelligence? Parrots? Mice? Spiders?
I'm not comparing LLMs to human complexity, nor do I particularly give a shit about them in my daily life. I'm just trying to get you to actually examine your definition of intelligence, as you seem to use something specific that most of our society doesn't.
So what do you call it when a newborn deer learns to walk? Is that “deer learning?”
I’d like to hear more about your idea of a “desired outcome” and how it applies to a single celled organism or a goldfish.