Same way you do for planes, cars, etc. You have long(ish) life-cycles and some pieces that can be independent (e.g., same turbine engine on several plane models).
I think that figure (haven’t verified it but assuming it’s true) isn’t complete. It hides who and where those people are - for example, I imagine art history skews towards higher ranked schools in the first place.
If by "happened to" you mean pour significant resources for well-over a decade on many different AI research groups then yes, that's accurate. Depending on your definition of AI, it might even be two decades.
In fact, OpenAI was founded largely with the direct goal of preventing Google from being the sole winner in AI...
I really wish that there was an “almost yolo” mode that was permissive but with light restrictions (eg no rm), or even better, a light supervisor model to prevent very dangerous commands but allow everything else.
Not saying it’s for sure the case but it might be that the model gets confused by OOD text from the other model whereas it expects its own text to be online from itself (particularly if the CoT is used as context for later conversations).
Related: I've been pretty frustrated with cursor that you can't call any APIs directly, and it all has to go through their backend. Along with this, they have essentially refused to fix bugs in their custom API key page for months, forcing you to use their "1st party" tokens.
Here’s the simple reason why this is not the case:
If you provide the 6DoF trajectory (+ gripper joints), a lot of robotics (manipulation in particular) is basically solved. The problem is, we don’t have these good trajectories.
Sure, joint space is commonly used for learned policies, but cartesian space isn’t uncommon either.
IK is really just not a major focus on the learning side of robotics because it’s not the problem. The problem is we don’t know what to do even at the slightly higher level.