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Play in the real world generates a data point every few minutes. Seems a bit slow?


Humans experience (play in the real world) is multi modal though vision, sound, touch, pressure, muscle feedback, gravitational, etc. Its extremely rich in data. Its also not a data point its continuous stream of information. Also I would bet that humans synthesize data at the same time. Everytime we run multiple scenarios in our mind before choosing the one we execute without even thinking about it is synthesizing data. Also humans dream which is another form of data synthesizing. Allowing AI to interact with the real world is definitely a way to go.


That's true, but still, a single individual or small group living isolated in the real world will, over a lifetime, learn only a tiny fraction of what we can learn from the written knowledge accumulated over millennia.

Having said that, I tend to agree that having AI interact with the world may be key: for one thing, I'm not sure whether there is any sense in which LLMs understand that most of the information content of language is about an external world.


What are you basing that statement on?

What exactly are you considering a "data point"?

Are you assuming one model = one agent instance?

I am pretty sure that there is more information (molecular structure) and functional information (I(Ex )) just in the room I am sitting in than all the unique, useful, digitized information on earth.




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