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TRIZ-Ingenieur comments on Superintelligence 6: Intelligence explosion kinetics - Less Wrong Discussion
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If you have a human-level intelligence which can read super-fast, and you set it free on the internet, it will learn a lot very quickly. (p71)
But why would you have a human-level intelligence which could read super-fast, which hadn't already read most of the internet in the process of becoming an incrementally better stupid intelligence, learning how to read?
Similarly, if your new human-level AI project used very little hardware, then you could buy heaps more cheaply. But it seems somewhat surprising if you weren't already using a lot of hardware, if it is cheap and helpful, and can replace good software to some extent.
I think there was a third example along similar lines, but I forget it.
In general, these sources of low recalcitrance would be huge if you imagine AI appearing fully formed at human-level without having exploited any of them already. But it seems to me that probably getting to human-level intelligence will involve exploiting any source of improvement we get our hands on. I'd be surprised if these ones, which don't seem to require human-level intelligence to exploit, are still sitting untouched.
Super-fast reading aquires crystalline intelligence in a theoretical domain. Any educator knows that the real learning effect comes from practical experience including set-backs and reflection about upcoming problems using the theoretical knowledge.
If a sub HLMI assists in designing an improved hardware design the resulting new AI is not fully capable in an instant. Humans need 16 years to develop their full fluid intelligence. To build up crystalline intelligence to become head hardware architect needs 20 more years. A genius like Wozniak reached this level in a world of low IT complexity at the age of 24. For today's complexity this would not suffice.