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Comment by jbattle

This seems to be the core of the argument:

To get a better model, we either need make the learning algorithm more complex/write more code (which is human work), or we need to gather more or better sample data (which requires human work as well).

Assuming this is a correct formulation, I don't see why this necessarily poses problems. The gathering of data in particular seems like a process that can be supercharged. You aren't restricted to one human speaking into the computer's ear. You have (to start) the entire internet to consume. If you want/need more structured data, you could hypothetically organize dozens or hundreds of individual humans processing information for the 'mind'.

And once the AI has reached some valuable state, you can then start cloning it (presumably a simple process of copying electronic state elsewhere). The one or more limited AI's you've created could then be tasked with generating the next step up the chain - even if that is simply learning to process and ingest ever vaster amounts of information.

I'm not a wild-eyed futurist, but I either don't get or don't buy the fundamental objection here.

parent jbattle 14 years ago

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