| Curious idea: With the mentioning that they can shift their focus to domains with extensive data that they can build models of action with etc... Why not try the following (If easily possible) --- Take all the objects on the various 3D warehouses (thingiverse, and all the other 3d modeling repos out there) -- and have a system whereby an OpenAI 'Robotics' platform can virtually learn to manipulate and control a 3D model (solidworks/blender/whatever) and learn how to operate it. It would be amazing to have an AI robotics platform where you feed it various 3D files of real/planned/designed machines, and have it understand the actual constituancy of the components involved, then learn its degrees of motion limits, or servo inputs etc... and then learn to drive the device. Then, give it various other machines which share component types, built into any multitude of devices - and have it eval the model for familiar gears, worm-screws, servos, motors, etc... and have it figure out how to output the controller code to run an actual physically built out device. Let it go through thousands of 3D models of things and build a library of common code that can be used to run those components when found in any design.... Then you couple that code with Copilot and allow for people to have a codebase for controlling such based on what OpenAI has already learned.... As Copilot is already built using a partnership with OpenAI... |