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Iron Law of Complexity: Complexity Adds But Its Problems Multiply

That’s why more complexity doesn’t mean more things will go right; without planning, it means the exact opposite. The math is scary

In “Bad news for artificial general intelligence” (podcast Episode 160), Justin Bui and Sam Haug from Robert J. Marks’s research group at Baylor University joined him for a look at how AI can go wrong — whether it’s an inconsequential hot weather story or imminent nuclear doom. Now, in Episode 161, they start by unpacking the significance of an ominous fact: When we increase complexity by adding things, we multiply the chances of things going wrong. Never mind getting an advanced machine to solve all our problems; it can’t solve its own: A partial transcript and notes, Show Notes, and Additional Resources follow. Robert J. Marks: I recently vetoed a family member’s suggestion that we put a lock on our…