“General thinking” is much more than token prediction. Hook it up to some servos and see if it can walk.
Honestly, at this rate of improvement, I would not at all be surprised to see that happen in a few years.
But who knows, maybe token prediction is going to stall out at a local maxima and we'll be spared from being enslaved by AI overlords.
I do feel like GPT-4 is closer to a random person than that random person is to Einstein. I have no evidence for this, of course, and I'm not even sure what evidence would look like.
"Our recent paper "ChatGPT for Robotics" describes a series of design principles that can be used to guide ChatGPT towards solving robotics tasks. In this video, we present a summary of our ideas, and experimental results from some of the many scenarios that ChatGPT enables in the domain of robotics: such as manipulation, aerial navigation, even full perception-action loops."
Stephen Hawking : can't walk
You guys are talking about probably one of the few fields where an ML takeover isn’t very feasible. (Partly because for a vast portion of control problems, we’re already about as good as you can get).
Adding a black box to your flight home for Christmas with no mathematical guarantee of robustness or insight into what it thinks is actually going on to go from 98%-> 99% efficiency is…..not a strong use case for LLMs to say the least
I'm certainly not intelligent enough to solve these problems, but I don't think any intelligent people out there can either. Not alone, at least. Maybe I'm too dumb to realize that it's not as complicated as I think, though. I have no idea.
I programmed a flight controller for a quadcopter and that was plenty of suffering in itself. I can't imagine doing limbs attached to a torso or something. A single limb using inverse kinematics, sure – it can be mounted to a 400lb table that never moves. Beyond that is hard.
