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How much participation in the "general AI challenge"?

The General AI Challenge, a series of prize competitions organized by GoodAI, has announced rules for its first round, on "gradual learning."

According to the description,

You will be programming and training an AI agent that will engage in a dialogue with the CommAI-Env environment. They will exchange bytes of information, and in addition the environment will give feedback signals to the agent to guide its behavior.

Your agent should demonstrate gradual learning—the ability to use previously learned skills to more readily learn new skills (and in this case, to answer questions generated by the environment). You will not be optimizing your agent’s performance on existing skills (how good an agent is at delivering solutions for problems it knows). Instead, you will be optimizing the agent’s efficiency at learning to solve new/unseen problems. . . .

After you submit your solution, your agent will be evaluated on similar, but not identical evaluation tasks. This way we avoid the case that the agent has been built for the given tasks only. Instead, it should possess more general ability to learn how to learn.

The competition has two parts, with a total purse of $50,000. Prize-winning codes have the choice of open-sourcing their solutions, or providing them to GoodAI on a non-exclusive basis.

Submissions are due August 14, 2017, with prizes announced September 30, 2017. Since it appears prizes will definitely be won, we'll ask here about the participation in this new contest.

How many qualified submissions will the first rounds of the General AI Challenge receive?

Resolution is by announcement by the Challenge, and resolves ambiguous if the number of qualifying submissions is not released.

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