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by nb3423
1254 days ago
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Humans actually take very little to non relevant decisions. The "free will" is mostly an illusion, you "choose" between equivalent options, not between actually different "life paths". You can "decide" you won't "build a nest", but you'll certainly look for refuge if it is raining, or it's very cold. In the end, the human behavior is actually fully deterministic. I'm sure FAANG already know this because they have the datapoints from billions of humans beings doing exactly the same stuff everyday for decades now. This is probably how LLM can extrapolate all the things they "know" from human generated text: their tokens reflect the human behavior determinism a its fullest expression (hence at more data for training, much better/closer their behavior ressemble the human behavior/ideas) |
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In any case, I'm not saying individual humans make many reasoned out decisions. Quite the opposite. Human individuals adopt a cultural second nature bequeathed to them by their heritage to avoid the necessity of making decisions. The culture over time adopts certain default decisions that are advantageous to survival. These are inculcated into the individual via their cultural conditioning. A baby has no culture and very few instincts (hunger, pleasure, pain, disgust). If you think humans are operating at the lower levels of instinct then why do they pursue or avoid certain behaviors that change over time? One answer is that they are responding to acceptable norms of behavior. As those norms change, they adapt and adopt. They change with the times, as the saying goes. A tiger can be trained to behave a certain way using stimulus/reward training but it doesn't self-regulate according to new norms. One could argue that elephants do this, if properly conditioned with a large stake early in life. But you could also make the case that elephants (like dolphins) are, like humans, self-conscious to a degree. I don't know if this is true, but it is an interesting thought. A more cynical person might say the elephant is not choosing anything but has been trained just like the tiger to avoid pain.
LLMs, or let us say AGI based on probabilistic models, can mimic behavior represented in its data and is very impressive at these language games and, with the right feedback, can correct some of its more glaring productions but it must ever be a parasite on human cultural production for it to gain what you call "knowledge". As a thought experiment, suppose we could set an LLM running on autopilot and send it into space with a feedback loop where it could add its productions to its source corpora. Is there any point in the future where it is generating new and coherent output? Or does it degenerate into raving madness?