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AI's advantage would be that their learning can be shared For example if Robot 0002 learns that trying to move a pan without using the handle is a bad idea, Ro
by guitheeengineer 2y ago
AI's advantage would be that their learning can be shared
For example if Robot 0002 learns that trying to move a pan without using the handle is a bad idea, Robot 0001 would get that update (even if it came before)
- SketchySeaBeast 2y agoBut that ends up with weirdly dogmatic rules because it's not always a bad idea to move a pan without using the handle, it's just in some situations. It still takes a ton of potentially destructive iterations to be sure of something.
- guitheeengineer 2y agoYea its tricky and costly. I believe we should bet on specificity to make this more optimal. I know the trend with AI is to keep the scope generic so it can tackle different domains and look more like us, but I believe that even if we reach that, we'll always come back to make it better for a specific skill set, because we also do that as humans. No reason for an AI driver to know how to cook. If we narrow the domain as much as possible it will cut the number of experiments it needs to do significantly Edit: I wonder if its even going to be useful to devote so much resources into making a machine as similar as us as possible. We don't want a plane to fly like a bird, even if we could build it.
- kridsdale3 2y agoThen we will continue to have a Temperature variable in the Action Models.