Recursive Self-Improvement is an approach to Artificial Intelligence that allows a system to make adjustments to its own functionality resulting in improved performance. The system can then feedback on itself with each cycle reaching ever higher levels of intelligence.
Assuming a machine of sufficient power was available, once an initial “escape velocity” had been reached the intelligence of such a system would be expected to accelerate rapidly and according to Eliezer Yudkowsky become capable in a matter of “weeks or hours” of achieving what would take humanity decades.
Ultimately such a system would be bound by the limitations of it's hardware. The software would be searching for cognitive algorithms that were the most optimal.
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