I encourage all humans to also take advantage of the ability to distill themselves into a future aligned AI version of themselves. Record and save your inputs and outputs regularly via camera, screen recordings, etc. This will be useful later.
Yes, there appears to already be work in this area. Here is a recent example I ran across on twitter showing videos of 2 relatively low cost robot arms learning various very fine manipulation tasks apparently after just 15 minutes or so of demonstrations:
Introducing ACT: Action Chunking with Transformers
"Fundamentally incapable" is perhaps putting things too strongly, when you can see from the Reflexion paper and other recent work in the past 2 weeks that humans are figuring out how to work around this issue via things like reflection/iterative prompting:
I think this is a good idea, and as someone who has recorded themselves 16 hrs day for 10+ years now I can say recording yourself gets to be very routine and easy.
Is it just me, or does this validate some of the parts of Yann LeCun's "A Path Towards Autonomous Machine Intelligence" paper?
The two papers both use an algorithm consisting of multiple specialized models, with DreamerV3 using 3 models that seem very similar to those described by LeCun:
"the world model predicts future outcomes of potential actions"
"the critic judges the value of each situation"
"the actor learns to reach valuable situations"
World model, critic, actor - all are also described in LeCun's paper. So are we seeing a successful push towards an AGI similar to LeCun's ideas?
I encourage all humans to also take advantage of the ability to distill themselves into a future aligned AI version of themselves. Record and save your inputs and outputs regularly via camera, screen recordings, etc. This will be useful later.