The question it comes down to is: How long are the feedback cycles of an AGI and what is their bandwidth?
How much knowledge about the real world does the AGI gain per iteration (bits of information about objects of interest to the AGI that it doesn’t find in its inputs)?
The question it comes down to is: How long are the feedback cycles of an AGI and what is their bandwidth?
How much knowledge about the real world does the AGI gain per iteration (bits of information about objects of interest to the AGI that it doesn’t find in its inputs)?
How long is the iteration loop time?
I asked a question in this direction but there wasn’t an answer: Does non-access to outputs prevent recursive self-improvement?