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What do you think of advances like those in major DeepMind papers? They seem to represent significant shifts in capabilities once matured. Here's a recent exam

• goolulusaurs 8y ago
  This paper is amazing, and exactly what I was thinking of posting in response to that part of the article. The amount of research Deepmind is putting out is astonishing, and even if you are paying attention it's hard to keep up with it all. Here are just a few papers I've been looking at from the last few months, maybe none of them are advancements on the level of AlphaGo & Zero but they still show significant progress in a wide variety of areas. https://arxiv.org/abs/1802.10542 https://arxiv.org/abs/1802.10542 https://arxiv.org/abs/1802.07740 https://arxiv.org/abs/1802.07740 https://www.nature.com/articles/s41586-018-0102-6 https://www.nature.com/articles/s41586-018-0102-6 https://arxiv.org/abs/1804.09401 https://arxiv.org/abs/1804.09401 https://arxiv.org/abs/1805.06370 https://arxiv.org/abs/1805.06370 https://arxiv.org/abs/1802.03006 https://arxiv.org/abs/1802.03006 https://arxiv.org/abs/1804.08617 https://arxiv.org/abs/1804.08617 https://arxiv.org/abs/1802.01561 https://arxiv.org/abs/1802.01561 And there are many others besides these, not to mention all the significant research being done by everyone else who isn't at Deepmind. The authors idea that interest and development of these topics is dying down or that Deepmind is running out of meaningful research to do just seems uninformed.