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joecarlsmith.com
| | www.lesswrong.com

Notes on AI for complex, consequential problems Eric Drexler Centre for the Governance of AI University of Oxford ...
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| | www.lesswrong.com

On the structure of the path to safe superintelligence, and some possible milestones along the way.
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| | www.alignmentforum.org

This is a personal post and does not necessarily reflect the opinion of other members of Apollo Research. I think I could have written a better versi...
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| | blog.otoro.net

[AI summary] This text discusses the development of a system for generating large images from latent vectors, combining Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). It explores the use of Conditional Perceptual Neural Networks (CPPNs) to create images with specific characteristics, such as style and orientation, by manipulating latent vectors. The text also covers the ability to perform arithmetic on latent vectors to generate new images and the potential for creating animations by transitioning between different latent states. The author suggests future research directions, including training on more complex datasets and exploring alternative training objectives beyond Maximum Likelihood.
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