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www.alignmentforum.org | ||
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vkrakovna.wordpress.com
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| | | | | (This post is based on an overview talk I gave at UCL EA and Oxford AI society (recording here). Cross-posted to the Alignment Forum. Thanks to Janos Kramar for detailed feedback on this post and to Rohin Shah for feedback on the talk.) This is my high-level view of the AI alignment research landscape and... | |
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www.lesswrong.com
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| | | | | Introduction You open the Alignment Forum one day, and a new post stares at you. By sheer luck you have some time, so you actually read it. And then... | |
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www.jefftk.com
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| | | | | A kind of post I would like to read more of is "I did X, and here's how it went." You tend to see this most with research, but I've enjoyed reading t... | |
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blog.fastforwardlabs.com
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| | | This article is available as a notebook on Github. Please refer to that notebook for a more detailed discussion and code fixes and updates. Despite all the recent excitement around deep learning, neural networks have a reputation among non-specialists as complicated to build and difficult to interpret. And while interpretability remains an issue, there are now high-level neural network libraries that enable developers to quickly build neural network models without worrying about the numerical details of floating point operations and linear algebra. | ||
