
In 2028, will an AI be able to play randomly-selected computer games at human level, given the chance to train via self-play?
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76%
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Resolves positively if there is an AI can learn to play randomly selected computer games (shooters, strategy games, flight simulators, etc) at the level of an amateur but not completely incompetent human player, given only a small amount of time (days, not years) for its programmers to connect it properly, and the opportunity to practice for arbitrary (but achievable) amounts of time.
I will resolve this positively if the AI succeeds more than half the time. It's okay if it also has a few games it just can't learn.
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What is this?
What is Manifold?
Manifold is the world's largest social prediction market.
Get accurate real-time odds on politics, tech, sports, and more.
Or create your own play-money betting market on any question you care about.
Are our predictions accurate?
Yes! Manifold is very well calibrated, with forecasts on average within 4 percentage points of the true probability. Our probabilities are created by users buying and selling shares of a market.
In the 2022 US midterm elections, we outperformed all other prediction market platforms and were in line with FiveThirtyEight’s performance. Many people who don't like betting still use Manifold to get reliable news.
Why use play money?
Mana (Ṁ) is the play-money currency used to bet on Manifold. It cannot be converted to cash. All users start with Ṁ1,000 for free.
Play money means it's much easier for anyone anywhere in the world to get started and try out forecasting without any risk. It also means there's more freedom to create and bet on any type of question.
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