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I now think of AI as basically deep learning based ML and nothing else. But it's not entirely right to say it's not "intelligent". What is "intelligent"? Is a m
by m0zg 8y ago
I now think of AI as basically deep learning based ML and nothing else. But it's not entirely right to say it's not "intelligent". What is "intelligent"? Is a mouse intelligent? It can't reason, speak, read, or write, yet I'd say it is intelligent because it can respond to the environment in a way which on average maximizes its survival. This is not that different to e.g. a RL system responding to its environment in a way that will maximize reward. Then why would a mouse be "intelligent", and RL system not "intelligent"?
- mindcrime 8y agoI now think of AI as basically deep learning based ML and nothing else. That strikes me as stunningly bizarre position to take. Why do you think that way?
- indalo 8y agoCould you elaborate why you find it so bizarre so the gp and other readers can find value in this thread? Or is this rhetorical?
- mindcrime 8y agoI find it bizarre because deep learning is only one (arguably fairly small) subset of the entire field of AI. AI is a HUGE field, spanning an incredible myriad of techniques and approaches. Deep Learning may be the one receiving the most "hype" at the moment, but there is - so far as I can tell - no sense in which anyone connected to AI considers "AI" and "deep learning" synonymous.
- m0zg 8y agoWhich "other", non DL areas of AI are in use at the moment? Which haven't yet been completely blown out of the water by DL counterparts? NLU, translation, sentiment analysis, image classification/segmentation, object detection, instance segmentation, speech recognition, speech synthesis, sentence generation, NER, the list goes on and on. In all of these ANNs completely destroy previous approaches, it's not even close.
- mindcrime 8y agoI am not saying that DL isn't very successful and very popular. I'm just saying that it isn't, all by itself, the entirety of the field of AI. I'm not arguing anything about popularity and I definitely don't have usage stats, since approximately nobody is going to publish exactly what stack they're using if they get a competitive advantage from it. But from a research perspective, it's not hard to find papers on arXiv showing people continuing to research other aspects of AI. It's also not hard to find papers from people suggesting that the DL train may be running out of steam in the near future. See, for example, https://www.technologyreview.com/s/612768/we-analyzed-16625-papers-to-figure-out-where-ai-is-headed-next/ https://www.technologyreview.com/s/612768/we-analyzed-16625-...
- m0zg 8y agoBecause that's exactly what's referred to as "AI" nowadays.
- mindcrime 8y agoI guess if you're only looking at what the popular media report for the general public, that's sorta true. But dig any deeper at all, and that's way off the mark.