I'd say that the ability to ignore groupthink, and reason on your own about a hyped-up new technology, from first principles, is one of the most important qualities to have as a technologist. Rare, maybe because it requires extensive familiarity with tech & econ first principles
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This applies to subfields of deep learning research (among other things)
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This is how I felt twelve years ago working in virtual reality when people thought avatars all twirled on digital stripper poles.
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Yes, perhaps it's intuition, perhaps it's just blind faith, Either way, you can't rest until you've explored a bit in that field to reform your belief.
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It's obvious that an idea will grow in impact when it expands the space of explained phenomena while simplifying the explanation. That will happen even if the idea is initially unpopular (and it usually is). It's just a matter of time.
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Somewhat surprisingly, you can generalize "explained" and substitute "represented", "generated" or "produced".
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I've made a scientific career of being interested in tech X when no one else / very few people thought it mattered, so yes. That's how you push the field.
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Two criteria. (1) The usefulness of the tech. This is somewhat related to how many people are interested in or using it. (2) The simplicity of the tech. This is nothing with the others. Then, if (1), simplify it. If (2), find a use. If (1) and (2), generalize it for other things.
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come check out my lab! easier to ground theory in practice :)
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Only if tech X accelerated my backlog.
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Yes, the X tech that I would like to highlight is the theory of the neocortex from
#Numenta. It seems to me to be the best approach to#AGI so far. They developed Hierarchical Temporal Memory (#HTM) to create predictive models in a different approach from#DeepLearning -
What’s the path to AGI here?
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