[caeril]

> based on traditional definitions

A lot of traditional definitions imply some degree of consciousness or sentience.

But AGI will ultimately be defined by capabilities, not similarity to humans.

If a GPT-style LLM meets or exceeds humans at a broad category of tasks, it doesn't matter that it doesn't "understand" the tokens it operates on. Same with self-driving systems or autonomous robots. It doesn't matter if the CNN doesn't have a conception of a "person" - if it can feed the identification vector into the control network, and the control network swerves to avoid the identified object at a rate equal to humans, then that's good enough.

Capability is what matters, nothing else. And right now, we have ALL the parts to do this, we just have to scale them up, and train them better, and connect them.