What could be, then, the next step in AI?
2 trends that will drive a lot of growth in the next couple of decades: 1. Increasingly more tasks will be handled by AI / cognitive automation. 2. AI systems will become increasingly easier to build & deploy. AI is already well on its way to becoming a generic developer skill.
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Perhaps you're thinking of the "AI effect". AI is in fact making fast progress. The part that isn't moving at all is creating *broad cognitive abilities* as opposed to task-specific systems. Partly because it's a hard problem, and partly because no one is looking at it.
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@fchollet Eventually, it will be as easy as word processing.Thanks. Twitter will use this to make your timeline better. UndoUndo
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Just like bayesian statistics and causal inference! Anyone can build a demo of a machine recognising an egg, but getting AI into production is still genuinely hard.
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Can't agree more!
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How (if at all) do you see the importance of statistics training changing for evaluation of models? E.g. as an engineer I can build a pretty complex model with good accuracy with basically 0 statistical knowledge. But I'm pretty bad at explaining model biases.
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And hence I don't think I would be qualified to own a model end to end without some sort of extra training.
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That's how it's always been from the beginning. Anything "AI" coming from the industry becomes a generic developer tool/skill
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Coding an
#AI engine that can't be manipulated by intentional algorithm.@Magnet_LTD
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