One of the differences between humans and LLMs is that LLMs evolve “backwards”: they are predictive models trained to control the environment, while humans evolved from very simple homeostatic systems which developed predictive models.
Continuing thought: animal evolution was subjected to the fundamental constraint that the evolution of general-purpose generative parts of the brain should have occurred in a way that doesn’t destroy simple, tested control loops (like movement control, reflexes and instincts) and doesn’t introduce many complications (like hallucinations of the generative model).
One of the differences between humans and LLMs is that LLMs evolve “backwards”: they are predictive models trained to control the environment, while humans evolved from very simple homeostatic systems which developed predictive models.
Continuing thought: animal evolution was subjected to the fundamental constraint that the evolution of general-purpose generative parts of the brain should have occurred in a way that doesn’t destroy simple, tested control loops (like movement control, reflexes and instincts) and doesn’t introduce many complications (like hallucinations of the generative model).
Animals were optimized for agency and generality first, AIs last.