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There are many many practical example of modern ML (especially DL). Would be interesting to hear why you think those examples are not indicative of a field whic
by colincooke 6y ago
There are many many practical example of modern ML (especially DL). Would be interesting to hear why you think those examples are not indicative of a field which is useful/not a hoax.
- whatshisface 6y agoWord on the street is the level of superficially attractive papers with no merit is very high in ML literature.
- colincooke 6y agoThat is absolutely correct, but is sadly the case in a lot of fields. It doesn't mean that the practical results we see (AlphaFold, Imagenet Performance, NLP performance, Robotic control with RL) isn't amazing progress. Luckily due to so many people using ML these days, what's useful vs. fluff gets sorted out over time.
- skybrian 6y agoIs AlphaFold a practical result? Winning a competition isn't the same as production use. It would be interesting to read about how it's being used. This is a good list of promising work, but showing practicality would need more explanation.
- alisonkisk 6y agoIt's a fair question. Is DeepMind famous for its amazingly smart toys because it's useful similarly-smart stuff is secret? Or public but boring? Or doesn't exist? (similar for Boston Dynamics, and IBM Watson)
- beowulfey 6y agoIn theory it should be practical. The first generation has been adapted by other teams into excellent prediction servers that can be used now. The second gen is way more hush hush and has yet to be vetted, so we’ll have to see. I am watching for news of it eagerly!