Getting AGI to output “physics-simulator” where both starting and ending conditions are specified to be within some ranges of possible state-configurations, instead of simulating one specific example and providing a “point-like” value.
Have possible machines (proposed by AI-system) be tested by such “physics-simulators”.
”Simulator” might highlight predictable aspects of machine behavior vs less predictable things. That is to say, the behavior of machine that is “low-entropy” (I’m probably using the term wrong).
Point would be to have a probabilistic safety-measure that makes it harder for AI to propose some machine design (or machine-creation-instructions) that results in unexpected behavior.
The “simulator” should be tested against real-world data that the AI doesn’t have access to (as well as using various other measures to verify and look for problems).
Getting AGI to output “physics-simulator” where both starting and ending conditions are specified to be within some ranges of possible state-configurations, instead of simulating one specific example and providing a “point-like” value.
Have possible machines (proposed by AI-system) be tested by such “physics-simulators”.
”Simulator” might highlight predictable aspects of machine behavior vs less predictable things. That is to say, the behavior of machine that is “low-entropy” (I’m probably using the term wrong).
Point would be to have a probabilistic safety-measure that makes it harder for AI to propose some machine design (or machine-creation-instructions) that results in unexpected behavior.
The “simulator” should be tested against real-world data that the AI doesn’t have access to (as well as using various other measures to verify and look for problems).