And be skeptical of teachers who jump on the latest shiny thing because "all the cool kids are into it". They'll regret it next year when it goes out of fashion. This applies to software tools as well. First principles never go out of fashion.
Too many people in the field of AI are chasing the latest fashions. My advice: keep your eyes on the fundamentals, focus on the long-term challenges. The important questions are still the same today as they were 20 years ago.
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Are you trying to say solving image net 4% faster isn’t a good use of our time?
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ImageNet has been over since 2016.
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pfft all you have to do so solve and problem is throw a big MLP at it. Easy peasy.
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Yeah I mean the brain does backprop and is literally a stacked LSTM trained with A3C, so what more could you possibly need
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So true
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It's so easy to get lost in the sea of trends. It's just I didn't think the same could actually happen in AI till I find myself getting overwhelmed by all these new papers churning out every other day.
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I think this is a normal cycle: early effective advancements are picked up by engineers and mass deployed Then research field splits between people trying to refine these techniques, and other researchers pursuing fundamental issues
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Asking questions surrounding first principle and 2nd-order effects?
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