"Ten years from now we will conclude that deep reinforcement learning was overrated in the late 2010s, and that many other important research avenues were neglected."
https://www.wired.com/story/deepminds-losses-future-artificial-intelligence/?mbid=social_twitter_onsiteshare … via @WIRED
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Of course a diversified portfolio makes sense! But then it is a trivial statement: "diversify, it does not matter in which area". This applies to ANY technology in development. In 10 years we will look at 3-D printing and think we were stupid not to look carefully at alternatives
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With the benefits of 20/20 hindsight, of course ! Before they figure out solid state transistors, was it clear that one should go all out on that and disregard other ways (not sure if there were any other options in that case).
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They were very specific about the problems they were trying to solve (faster/less noise/more signal density), and saw quickly how transistors might solve them. They were not certain of a specific solution in advance of investigation. Highly recommended book: The Idea Factory.
End of conversation
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