<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Xiang Shi</title><description>I&apos;m Xiang. I build risk models at a hedge fund and write code for fun. This is where I keep my open-source code, math notes, and the occasional essay.</description><link>https://xshi19.github.io/</link><language>en</language><item><title>Harari’s Imagined Imagined Communities</title><link>https://xshi19.github.io/harari-imagined-communities.html</link><guid isPermaLink="true">https://xshi19.github.io/harari-imagined-communities.html</guid><description>A critique of Harari’s account of shared stories and large-scale cooperation.</description><pubDate>Fri, 04 Sep 2026 01:37:32 GMT</pubDate><category>information</category><category>survivorship bias</category></item><item><title>Common Arguments About the AI Bubble</title><link>https://xshi19.github.io/ai-bubble-arguments.html</link><guid isPermaLink="true">https://xshi19.github.io/ai-bubble-arguments.html</guid><description>Five common AI bubble arguments, from valuations to workplace productivity.</description><pubDate>Wed, 18 Feb 2026 04:05:30 GMT</pubDate><category>machine learning</category><category>economics</category></item><item><title>Supervised Learning, RLHF, and DeepSeek R1</title><link>https://xshi19.github.io/supervised-learning-rlhf-deepseek-r1.html</link><guid isPermaLink="true">https://xshi19.github.io/supervised-learning-rlhf-deepseek-r1.html</guid><description>A math-class analogy for how three training approaches score an LLM’s answers.</description><pubDate>Wed, 12 Feb 2025 01:38:06 GMT</pubDate><category>machine learning</category></item><item><title>A Simple Stock Market Trick: Use Logarithmic Charts</title><link>https://xshi19.github.io/use-logarithmic-charts.html</link><guid isPermaLink="true">https://xshi19.github.io/use-logarithmic-charts.html</guid><description>Why logarithmic stock charts make percentage changes easier to compare.</description><pubDate>Wed, 20 Nov 2024 03:04:53 GMT</pubDate><category>economics</category></item><item><title>Farewell, Yann LeCun</title><link>https://xshi19.github.io/farewell-yann-lecun.html</link><guid isPermaLink="true">https://xshi19.github.io/farewell-yann-lecun.html</guid><description>On Yann LeCun, scientific metrics, and having skin in the game.</description><pubDate>Wed, 13 Nov 2024 04:15:21 GMT</pubDate><category>machine learning</category><category>economics</category></item><item><title>Yuval Harari&apos;s Dataism: Why is it a Bad Idea?</title><link>https://xshi19.github.io/yuval-hararis-dataism-why-is-it-a-bad-idea.html</link><guid isPermaLink="true">https://xshi19.github.io/yuval-hararis-dataism-why-is-it-a-bad-idea.html</guid><description>Why more connections and more data do not necessarily mean more information.</description><pubDate>Sat, 17 Feb 2024 05:00:00 GMT</pubDate><category>dataism</category><category>information</category><category>data science</category></item><item><title>Estimate Book Review Entropy from Pre-trained Embeddings</title><link>https://xshi19.github.io/estimate-book-review-entropy-from-pre-trained-embeddings.html</link><guid isPermaLink="true">https://xshi19.github.io/estimate-book-review-entropy-from-pre-trained-embeddings.html</guid><description>An experiment in measuring the diversity of book reviews with embeddings and entropy.</description><pubDate>Mon, 25 Dec 2023 05:00:00 GMT</pubDate><category>NLP</category><category>machine learning</category><category>information theory</category></item><item><title>A Simple Way to Estimate DDP, A Better Alternative to GDP</title><link>https://xshi19.github.io/a-simple-way-to-estimate-ddp-a-better-alternative-to-gdp.html</link><guid isPermaLink="true">https://xshi19.github.io/a-simple-way-to-estimate-ddp-a-better-alternative-to-gdp.html</guid><description>Estimating Democratic Domestic Product with the Gini index and a Pareto distribution.</description><pubDate>Thu, 21 Dec 2023 05:00:00 GMT</pubDate><category>fat tails</category><category>economics</category></item><item><title>Fat Tails, Survivorship Bias, and the Illusion of Exponential Growth</title><link>https://xshi19.github.io/fat-tails-survivorship-bias-and-the-illusion-of-exponential-growth.html</link><guid isPermaLink="true">https://xshi19.github.io/fat-tails-survivorship-bias-and-the-illusion-of-exponential-growth.html</guid><description>How focusing on the winners can turn fat-tailed outcomes into a story of exponential growth.</description><pubDate>Thu, 07 Dec 2023 15:20:00 GMT</pubDate><category>fat tails</category><category>survivorship bias</category><category>personal development</category></item></channel></rss>