Intelligence explosion
A hypothesised runaway process in which AI rapidly improves itself, leaving human ability far behind.
An intelligence explosion is a proposed chain reaction in which a machine smart enough to improve its own design produces a smarter version, which produces a smarter one again, until it far surpasses human ability. The idea was put forward by the mathematician I. J. Good in 1965, who wrote that the first such machine would be “the last invention that man need ever make”.
It matters because, if the idea is right, the change could be very fast and hard to control, leaving little time for people to react. It underlies many concerns about long-term AI risk.
It is a hypothesis, not an observed event, and it is disputed. Critics point out that each improvement may need more effort than the one before, that progress depends on physical resources such as chips and energy, and that intelligence is not a single dial to turn up. Supporters reply that even a partial version could be dramatic. Many researchers sit between the two, expecting acceleration but not necessarily an abrupt one. The debate is mostly about forecasts, since no one can test it directly.