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\|	\|	sander.ai The paradox of diffusion distillation - Sander Dieleman	5.0 parsecs away Travel
\|	\|	Thoughts on the tension between iterative refinement as the thing that makes diffusion models work, and our continual attempts to make it _less_ iterative.	5.0 parsecs away Travel
\|	\|	qualiaresearchinstitute.org Digital Sentience Requires Solving the Boundary Problem	2.3 parsecs away Travel
\|	\|	Digital computers will remain unconscious until they recruit physical fields for holistic computing using well-defined topological boundaries.	2.3 parsecs away Travel
\|	\|	polukhin.tech ChatGPT in Machine Learning \| Andrii Polukhin	4.2 parsecs away Travel
\|	\|	A robot sitting next to a human in an office, trending on artstation, beautiful coloring, 4k, vibrant, blue and yellow, by DreamStudio	4.2 parsecs away Travel
\|	\|	www.depthfirstlearning.com Variational Inference with Normalizing Flows · Depth First Learning	13.3 parsecs away Travel
\|		[AI summary] The user has provided a detailed and complex set of questions and reading materials related to normalizing flows, variational inference, and generative models. The content covers topics such as the use of normalizing flows to enhance variational posteriors, the inference gap, and the implementation of models like NICE and RealNVP. The user is likely seeking guidance on how to approach these questions, possibly for academic or research purposes.	13.3 parsecs away Travel