A good definition isn't just descriptive, it's explanatory. The most valuable new words & concepts are actionable -- they help you construct new ideas, they don't just help you voice existing ones
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A good definition of intelligence is one that is explanatory and actionable, one that guides others towards more productive research avenues.
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The hardest problems in AI are conceptual, not technical. We need conceptual progress much more than we need better hyperparameter values for our old models
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GPT-3 will help in creating new concepts. :)
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Keep making better intelligence benchmarks please. Concepts will be invented to tackle them.
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Place an agent in a simulation of the African savannah environment for the sole purpose of surviving.
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Very nice. Invariably we regress into a 'technical framework' that hinders coming up with new use cases.
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I feel like this might be a truism for most things in business...the technical execution isn't as hard as knowing conceptually *what* to execute...and the vision & decisions along the way.
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It's AI, business, and life in general Effective action, like clear writing, is only possible after precise thinking
https://twitter.com/trylks/status/1263989420035903489 …pic.twitter.com/NakU4N8mxj
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Technical , we are limited with our ability to estimate predictions with errors that do not have elliptical distribution.
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And yet hundreds and hundreds of published papers every year juggle with hyperparameters and contain no other novelty to speak of.
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Take NLP and extract: - spatial arangement - order in time - causation - actors' motivation Now how to?
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What are the best new concepts?
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It seems like the best new ideas might come from someone outside the field. But then perhaps they won't be taken seriously.
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