Think it’s a mistake to think in a zero-sum way like this. There are income as well as substitution effects. DeepMind’s success in reinforcement learning lends cause to more investment in adjacent fields...(and has already done so).
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@GaryMarcus has got it all wrong. Every $ spent by DeepMind in efforts that they make public is one less $ spent by other researchers exploring the same path. Example: Do you see other research groups working to solve Go? No, because it already has been solved by DeepMind.
empirically their highly visible work certainly has not deterred OpenAI from following a similar path
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That's because OpenAI's charter was to make sure they weren't someone not invited to the party. Musk and others put $1B into OpenAI so they wouldn't be left out of the Deep Learning explosion.
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it’s also a billion $ + refutation if your assertion, given that they are free to spend the $ more or less as they choose
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Also doesn't mean Go can't be solved in a simpler way using another technology
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