Re:Measuring abstract reasoning in neural networks
by chmhsm on Sunday July 15, 2018 @07:51AM
(#17534838)
Being a software engineer and a big DL enthusiast, this is getting a bit worrying for 2 reasons:
1- We already can easily build an NLP-related model that can write code in a certain language without making syntax/build or runtime errors.
2- I wasn't worried so far because the code a model could write doesn't carry any business logic. And I've realised that, as long as reasoning is still yet to be "discovered" in AI, we would be fine. DeepMind seems now to start focusing on just exactly that.
If a job as complicated as implementing code with business logic in it can be done by an AI. I do not care whether it's an AGI or not, it's already a bit troubling.
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Re:Measuring abstract reasoning in neural networks
by amelius on Sunday July 15, 2018 @07:59AM
(#17534859)
I guess we'll first see IDEs with a built-in code-completion function. I suppose this could work first in cases where coding is boring, such as when refactoring code.
Re:Measuring abstract reasoning in neural networks
by marojejian on Monday July 16, 2018 @04:21PM
(#17544743)
Can you give a citations for (1)? That sounds interesting.