“Alphabet’s DeepMind Losses Soared To $570 Million In 2018” @Forbeshttps://www.forbes.com/sites/samshead/2019/08/07/deepmind-losses-soared-to-570-million-in-2018/ …
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I wonder how much Bell Labs "lost" in a typical year back before they broke up Ma Bell?
Transistors of course made tons of money, even if (because of consent decrees) not for Bell. Deep RL thus far has not.
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The first "killer app" for the transistor---the transistor radio--was 1954, 7 years after the invention of the transistor. It cost almost $500 in today's dollars, and used a 22.5V battery. So I would say we still have a few years left before we declare RL a dead-end technology.
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1. why is everyone putting words in my mouth today? compare your wording with mine immediately above. 2. RL itself is decades old, by any account. 3. DRL is at least 6 years old, but in 2013 general sentiment was that the idea was not new even though execution improved.
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I assume Uber was making a profit recently? Some investments are too costly to miss out on.https://www.theverge.com/2016/7/21/12246258/google-deepmind-ai-data-center-cooling …
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Before transistor was invented, quantum physics had been developed for years, scientists understood how it should work and can predict its behaviors and it withstood repetitive tests. That’s science. Can u really say the same about the seemingly “make sense” DL or RL heuristics?
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