That’s the way where you try to make another adult human recognize the thing based on their own experiences, which is how we’ve gone about this since the Axial Age. Since 1970s, the second approach of how would you program an artificial intelligence to do this has been on the table. If we could manage this, it would in theory be a lot more robust statement of the case, but would also probably be much, much harder for humans to actually follow by going through the source code. I’m guessing this is what Chapman is thinking when he specifies “can be printed in a book of less than 10kg and followed consciously” for a system intended for human consumption.
Of course there’s also a landscape between the everyday language based simple but potentially confusion engendering descriptions and the full formal specification of a human-equivalent AGI. We do know that either humans work by magic or a formal specification of a human-equivalent AGI exists even when we can’t write down the book of probably more than 10 kg containing it yet. So either Chapman’s stuff hits somewhere in the landscape between the present-day reasoning writing that piggybacks on existing human cognition capabilities and the Illustrated Complete AGI Specification or it does not, but it seems like the landscape should be there anyway and getting some maps of it could be very useful.
That’s the way where you try to make another adult human recognize the thing based on their own experiences, which is how we’ve gone about this since the Axial Age. Since 1970s, the second approach of how would you program an artificial intelligence to do this has been on the table. If we could manage this, it would in theory be a lot more robust statement of the case, but would also probably be much, much harder for humans to actually follow by going through the source code. I’m guessing this is what Chapman is thinking when he specifies “can be printed in a book of less than 10kg and followed consciously” for a system intended for human consumption.
Of course there’s also a landscape between the everyday language based simple but potentially confusion engendering descriptions and the full formal specification of a human-equivalent AGI. We do know that either humans work by magic or a formal specification of a human-equivalent AGI exists even when we can’t write down the book of probably more than 10 kg containing it yet. So either Chapman’s stuff hits somewhere in the landscape between the present-day reasoning writing that piggybacks on existing human cognition capabilities and the Illustrated Complete AGI Specification or it does not, but it seems like the landscape should be there anyway and getting some maps of it could be very useful.