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epochai.org
| | www.erichgrunewald.com

The Prospect of an AI Winter - Texts on this and that.
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| | www.lesswrong.com

In 2021, I proposed measuring progress in the perplexity of language models and extrapolating past results to determine when language models were exp...
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| | windowsontheory.org

[Yet another "philosophizing" post, but one with some actual numbers. See also this follow up. --Boaz] Recently there have been many debates on "artificial general intelligence" (AGI) and whether or not we are close to achieving it by scaling up our current AI systems. In this post, I'd like to make this debate a bit...
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| | www.depthfirstlearning.com

[AI summary] The provided text is a comprehensive set of notes and exercises covering various topics in Generative Adversarial Networks (GANs) and their improvements, including standard GANs, Wasserstein GANs (WGANs), and WGAN with Gradient Penalty (WGAN-GP). The content includes theoretical explanations, practical implementation tasks, and discussion of challenges and solutions in training GANs. Key topics include the mathematical foundations of GANs, the limitations of standard GANs (such as mode collapse and sensitivity to hyperparameters), the introduction of WGANs to address these issues through the Wasserstein distance, and further improvements with WGAN-GP to mitigate problems like weight clipping instability. The text also includes exercises for calc...
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