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by Tumblewood
1118 days ago
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This line of reasoning refutes pie-in-the-sky doomsday narratives that are extremely unlikely, but the case for AI extinction risk justifies a relatively high likelihood of extinction. Maybe a 0.0000000001% chance is worth ignoring but that's not what we're dealing with. See this survey for the probabilities cutting-edge AI researchers actually put on existential risk: https://aiimpacts.org/2022-expert-survey-on-progress-in-ai/#... |
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In some cases like asteroids, you can look at the frequency of events, and if you manage to push a big one of of your path then you can say the system worked.
But is much more difficult to measure a system that didn't rise up and murder everyone. Kind of like measuring a bio-lab with a virus that could kill everyone. You can measure every day it didn't escape and say that's a win, but tells you nothing about tomorrow and what could change with confinement.
Intelligence represents one of those problems. AI isn't going to rise up tomorrow and kill us, but every day after that the outlook gets a little fuzzier. We are going to keep expanding intelligence infrastructure. That infrastructure is going to get faster. Also our algorithms are going to get better and faster. One of the 'bad' scenarios I could envision is that over the next decade our hardware keeps getting more capable, but our software does not. Then suddenly we develop a software breakthrough that makes the AI 100-1000x more efficient. Like lighting a fire in dry grass, there is the potential risk for an intelligence explosion. When you develop the capability, you are now playing firefighter forever to ensure you control the environment.