It’s an apt description of how these models function. They predict the most likely response to the input based on their training data. A brain can grasp concepts and reason about them - an LLM cannot
It is a decent description for sure. But one without practical value. And yes brains can grasp concepts and reason, but by using a similar mechanism. One uses chemistry for electronic potential difference for neuron weights, but they are nevertheless more similar than one might think. Brains don’t have some supernatural special sauce; they are weighted neural networks.
But again, I’m not saying the description is wrong. It just has no value. Glorified autocomplete can mean pretty amazing outputs. “Just glorified autocomplete” is diminutive without purpose.
It’s an apt description of how these models function. They predict the most likely response to the input based on their training data. A brain can grasp concepts and reason about them - an LLM cannot
It is a decent description for sure. But one without practical value. And yes brains can grasp concepts and reason, but by using a similar mechanism. One uses chemistry for electronic potential difference for neuron weights, but they are nevertheless more similar than one might think. Brains don’t have some supernatural special sauce; they are weighted neural networks.
But again, I’m not saying the description is wrong. It just has no value. Glorified autocomplete can mean pretty amazing outputs. “Just glorified autocomplete” is diminutive without purpose.