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Hoffman-London Graphs: Paths Minimize H-Colorings in Trees

Published:Dec 29, 2025 19:50
1 min read
ArXiv

Analysis

This paper introduces a new technique using automorphisms to analyze and minimize the number of H-colorings of a tree. It identifies Hoffman-London graphs, where paths minimize H-colorings, and provides matrix conditions for their identification. The work has implications for various graph families and provides a complete characterization for graphs with three or fewer vertices.
Reference

The paper introduces the term Hoffman-London to refer to graphs that are minimal in this sense (minimizing H-colorings with paths).

Donald Hoffman: Reality is an Illusion – How Evolution Hid the Truth

Published:Jun 12, 2022 18:50
1 min read
Lex Fridman Podcast

Analysis

This podcast episode features cognitive scientist Donald Hoffman discussing his book, "The Case Against Reality." The conversation likely delves into Hoffman's theory that our perception of reality is not a direct representation of the true nature of the world, but rather a user interface designed by evolution to ensure our survival. The episode covers topics such as spacetime, reductionism, evolutionary game theory, and consciousness, offering a complex exploration of how we perceive and interact with the world around us. The inclusion of timestamps allows for easy navigation of the various topics discussed.
Reference

The episode explores the idea that our perception of reality is a user interface designed by evolution.

Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:21

Natural Language Processing at StockTwits with Garrett Hoffman - TWiML Talk #194

Published:Oct 25, 2018 21:22
1 min read
Practical AI

Analysis

This article discusses the application of Natural Language Processing (NLP) at StockTwits, a social network for investors. The focus is on how StockTwits uses NLP, specifically multilayer LSTM networks, to build "social sentiment graphs." These graphs are used to assess real-time community sentiment towards specific stocks. The conversation also touches upon the broader use of NLP in generating trading ideas. The article highlights the practical application of NLP in the financial domain, demonstrating its potential for analyzing social media data to inform investment decisions.
Reference

The article doesn't contain a direct quote.