He listed, as one item among predictions with a 2028 deadline, that an off-the-shelf AI, given a random computer game and an API that lets it play against itself as often as it wants, would reach the performance of a mediocre human, with programmers allowed to adjust it for compatibility with that game.
Not yet due The date it refers to has not come.
Prediction: Statements about events outside the person's control, checked once they fell due: did they come true?
Reasoning
deadline 2028 is after 2026-11-04
Cite this claim
Scott Alexander, “He listed, as one item among predictions with a 2028 deadline, that an off-the-shelf AI, given a random computer game and an API that lets it play against itself as often as it wants, would reach the performance of a mediocre human, with programmers allowed to adjust it for compatibility with that game.” (said 20 February 2023). Verdict: not yet due. Reliability API, claim c_1abe18c9262b, method 0.1.0+8bea457b, dataset release v1.1.2. https://epistacklabs.com/claims/c_1abe18c9262b
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More prediction claims by Scott Alexander
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Mostly true
“Our scenario focuses on coding in particular because we think coding is what starts the intelligence explosion.”
The authors of the scenario think coding is what will start the intelligence explosion.
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Mostly true
“I expect scaling to continue to produce gains, but this is less obvious than it’s been the past five years.”
Scaling AI models will continue to produce gains, though less obviously than in the past five years.
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“We expect that as the AI labs become more capable, they tell the government about this because they want government contracts, they want government support.”
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“In our scenario, that starts with cyber warfare, the government sees that these AIs are now as capable as the best human hackers, but can be deployed at humongous scale.”
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Resolved true
“So they become extremely interested and they discuss nationalizing the AI companies.”
Verdicts are made automatically; how verdicts are made.