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The article's main example of an AI fail is YouTube's recommendation engine optimizing for extremist content. But it didn't seem to explain how "inverse reinfor
by ridewinter 7y ago
The article's main example of an AI fail is YouTube's recommendation engine optimizing for extremist content. But it didn't seem to explain how "inverse reinforcement learning" would solve it - don't people's clicks already model their desires?
Nothing in here seems to be an advancement towards AGI. I'm sure their robot can learn the optimal rules for driving in a simulator, but what about the unexpected in the real world? We don't even have a clue as to how human creativity actually works, much less how to make a creative machine (ie an AGI).
- fallous 7y agoIn fact that example argues against Russell's third law. The recommendation engine is observing the user's behavior and inferring that watching a video means the user agrees with the video, and so starts an escalation until it sees a refusal to click/watch. Simply watching a video is not an expression of agreement nor an endorsement of the content. Any of us read articles and books with which we may disagree if for no other reason than to fully understand the opposing viewpoint, and this is no less true for videos, audio, etc etc. Want to know if the user actually likes the content? Ask them. Stop thinking that statistical inference is better or even equal to directly measured data from a specific entity, especially when dealing with qualitative concepts rather than quantitative.
- ridewinter 7y agoThanks. You should've written this article :)