<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Chris Sim · Odysseys in AI and Technology</title><description>Chris Sim writes on AI, blockchain, data architecture and publishing from New York City.</description><link>https://chrisx.nyc/</link><language>en-us</language><item><title>An Agentic Design for AI Consciousness</title><link>https://chrisx.nyc/posts/an-agentic-design-for-ai-consciousness/</link><guid isPermaLink="true">https://chrisx.nyc/posts/an-agentic-design-for-ai-consciousness/</guid><description>A design for conscious AI built today: LLM-backed submind agents, stigmergic memory and a stream of consciousness.</description><pubDate>Thu, 25 Apr 2024 00:00:00 GMT</pubDate><category>Generative AI</category><category>agent</category><category>ai</category><category>consciousness</category></item><item><title>An Executive’s Cheat Sheet to Generative AI</title><link>https://chrisx.nyc/posts/an-executives-cheat-sheet-to-generative-ai/</link><guid isPermaLink="true">https://chrisx.nyc/posts/an-executives-cheat-sheet-to-generative-ai/</guid><description>Cutting through the Gen AI hype: a short, straightforward cheat sheet for executives deciding where it fits.</description><pubDate>Thu, 11 May 2023 00:00:00 GMT</pubDate><category>Generative AI</category><category>ai</category><category>generativeai</category></item><item><title>Optimizing DeFi Yield Aggregator Portfolios with GARCH Modeling and CVaR Analysis</title><link>https://chrisx.nyc/posts/optimizing-defi-yield-aggregator-portfolios-with-garch-modeling-and-cvar-analysis/</link><guid isPermaLink="true">https://chrisx.nyc/posts/optimizing-defi-yield-aggregator-portfolios-with-garch-modeling-and-cvar-analysis/</guid><description>Optimizing yield aggregator vault portfolios with GARCH simulation and CVaR to manage crypto tail risk.</description><pubDate>Mon, 17 Apr 2023 00:00:00 GMT</pubDate><category>Blockchain</category><category>blockchain</category><category>DeFi</category></item><item><title>Harnessing Generative AI to Personalize Financial Education</title><link>https://chrisx.nyc/posts/harnessing-generative-ai-to-personalize-financial-education/</link><guid isPermaLink="true">https://chrisx.nyc/posts/harnessing-generative-ai-to-personalize-financial-education/</guid><description>Using GPT-4 to read a customer&apos;s psychographic profile and rewrite financial wellness content just for them.</description><pubDate>Wed, 05 Apr 2023 00:00:00 GMT</pubDate><category>Generative AI</category><category>ai</category><category>gpt</category><category>marketing</category></item><item><title>Optimizing Portfolio Performance Using Generative AI and Synthetic Financial Data</title><link>https://chrisx.nyc/posts/optimizing-portfolio-performance-using-generative-ai-and-synthetic-financial-data/</link><guid isPermaLink="true">https://chrisx.nyc/posts/optimizing-portfolio-performance-using-generative-ai-and-synthetic-financial-data/</guid><description>Using GPT to generate synthetic market scenarios that stress-test allocation across three emerging market ETFs.</description><pubDate>Mon, 27 Mar 2023 00:00:00 GMT</pubDate><category>Generative AI</category><category>ai</category><category>asset allocation</category><category>GAN</category><category>gpt</category><category>synthetic data</category></item><item><title>Blockchain: Beyond The Frontier</title><link>https://chrisx.nyc/posts/blockchain-beyond-the-frontier/</link><guid isPermaLink="true">https://chrisx.nyc/posts/blockchain-beyond-the-frontier/</guid><description>Script and slides from my Blackseachain 2022 talk on where blockchain genuinely matters, beyond the hype.</description><pubDate>Sat, 10 Sep 2022 00:00:00 GMT</pubDate><category>Blockchain</category><category>blockchain</category><category>self-sovereign identity</category></item><item><title>My Book and Machine Learning Odyssey: Part 4</title><link>https://chrisx.nyc/posts/my-book-and-machine-learning-odyssey-part-4/</link><guid isPermaLink="true">https://chrisx.nyc/posts/my-book-and-machine-learning-odyssey-part-4/</guid><description>It&apos;s not what a book says, it&apos;s how it makes you feel: finding the emotional language that connects readers to books.</description><pubDate>Fri, 29 Jul 2022 00:00:00 GMT</pubDate><category>Artificial Intelligence</category><category>ai</category><category>books</category><category>machine learning</category><category>nlp</category></item><item><title>My Book and Machine Learning Odyssey: Part 3</title><link>https://chrisx.nyc/posts/my-book-and-machine-learning-odyssey-part-3/</link><guid isPermaLink="true">https://chrisx.nyc/posts/my-book-and-machine-learning-odyssey-part-3/</guid><description>Pivoting from bestseller prediction to a real need in publishing: generating Amazon keywords for books at scale.</description><pubDate>Wed, 27 Jul 2022 00:00:00 GMT</pubDate><category>Artificial Intelligence</category><category>a9</category><category>ai</category><category>books</category><category>machine learning</category><category>nlp</category></item><item><title>My Book and Machine Learning Odyssey: Part 2</title><link>https://chrisx.nyc/posts/my-book-and-machine-learning-odyssey-part-2/</link><guid isPermaLink="true">https://chrisx.nyc/posts/my-book-and-machine-learning-odyssey-part-2/</guid><description>Chasing publishing&apos;s holy grail: validating a bestseller prediction model with literary agents and real manuscripts.</description><pubDate>Sun, 24 Jul 2022 00:00:00 GMT</pubDate><category>Artificial Intelligence</category><category>ai</category><category>books</category><category>machine learning</category><category>nlp</category></item><item><title>My Book and Machine Learning Odyssey: Part 1</title><link>https://chrisx.nyc/posts/my-book-and-machine-learning-odyssey-part-1/</link><guid isPermaLink="true">https://chrisx.nyc/posts/my-book-and-machine-learning-odyssey-part-1/</guid><description>Why I founded Kadaxis: a lab for testing machine learning on book data before wrapping what worked into a product.</description><pubDate>Tue, 05 Jul 2022 00:00:00 GMT</pubDate><category>Artificial Intelligence</category><category>ai</category><category>books</category><category>machine learning</category><category>mongo</category><category>nlp</category><category>scala</category><category>search rank</category></item><item><title>A Decentralized Publishing Ecosystem</title><link>https://chrisx.nyc/posts/a-decentralized-publishing-ecosystem/</link><guid isPermaLink="true">https://chrisx.nyc/posts/a-decentralized-publishing-ecosystem/</guid><description>A 2017 discovery piece for an Ethereum publishing ecosystem that puts value and control back with authors, publishers and readers.</description><pubDate>Wed, 22 Jun 2022 00:00:00 GMT</pubDate><category>Blockchain</category><category>blockchain</category><category>publishing</category></item><item><title>Data Platform and MLOps Architecture</title><link>https://chrisx.nyc/posts/data-platform-and-mlops-architecture/</link><guid isPermaLink="true">https://chrisx.nyc/posts/data-platform-and-mlops-architecture/</guid><description>Maturing a deep learning startup&apos;s data and MLOps platform into a B2B SaaS product, from as-is to future state.</description><pubDate>Thu, 08 Jul 2021 00:00:00 GMT</pubDate><category>Architecture</category><category>ai</category><category>architecture</category><category>aws</category><category>machine learning</category><category>mlops</category><category>tensorflow</category></item><item><title>Data Pipeline Architecture (Bookish)</title><link>https://chrisx.nyc/posts/data-pipeline-architecture-bookish/</link><guid isPermaLink="true">https://chrisx.nyc/posts/data-pipeline-architecture-bookish/</guid><description>The book data pipeline, search and recommendation architecture I built at Bookish around 2012 to 2013.</description><pubDate>Mon, 09 Jul 2018 00:00:00 GMT</pubDate><category>Architecture</category><category>architecture</category><category>data pipeline</category><category>publishing</category></item><item><title>Measuring Keyword Effectiveness on Amazon</title><link>https://chrisx.nyc/posts/measuring-keyword-effectiveness-on-amazon/</link><guid isPermaLink="true">https://chrisx.nyc/posts/measuring-keyword-effectiveness-on-amazon/</guid><description>Off-page keywords are invisible to shoppers. Here is how to tell whether they actually surface a book in Amazon search.</description><pubDate>Mon, 08 Jan 2018 00:00:00 GMT</pubDate><category>Publishing</category><category>ai</category><category>discount cumulative gain</category><category>machine learning</category><category>search rank</category></item><item><title>Panel: Rights, Metadata and Marketing.</title><link>https://chrisx.nyc/posts/panel-rights-metadata-and-marketing/</link><guid isPermaLink="true">https://chrisx.nyc/posts/panel-rights-metadata-and-marketing/</guid><description>My answers from the BISG 2017 panel on rights, metadata and marketing at the Harvard Club, NYC.</description><pubDate>Sat, 30 Sep 2017 00:00:00 GMT</pubDate><category>Publishing</category><category>bisg</category><category>panel</category><category>publishing</category></item><item><title>Webinar: Adding Keywords To Backlist Titles</title><link>https://chrisx.nyc/posts/webinar-adding-keywords-to-backlist-titles/</link><guid isPermaLink="true">https://chrisx.nyc/posts/webinar-adding-keywords-to-backlist-titles/</guid><description>A BISG webinar on how Amazon search works and how to optimize keywords and on-page data for search rank.</description><pubDate>Thu, 17 Aug 2017 00:00:00 GMT</pubDate><category>Publishing</category><category>amazon</category><category>keywords</category><category>search</category><category>search rank</category></item><item><title>Legal Analysis of Web Scraping (UK)</title><link>https://chrisx.nyc/posts/legal-analysis-of-web-scraping-uk/</link><guid isPermaLink="true">https://chrisx.nyc/posts/legal-analysis-of-web-scraping-uk/</guid><description>The case I made to a UK publisher&apos;s legal team on the legality of scraping Amazon.co.uk reviews for keywords.</description><pubDate>Thu, 08 Dec 2016 00:00:00 GMT</pubDate><category>Artificial Intelligence</category><category>legal</category><category>scraping</category></item><item><title>Machine Learning and Bestseller Prediction: More Than Words Can Say</title><link>https://chrisx.nyc/posts/machine-learning-and-bestseller-prediction-more-than-words-can-say/</link><guid isPermaLink="true">https://chrisx.nyc/posts/machine-learning-and-bestseller-prediction-more-than-words-can-say/</guid><description>Why a book&apos;s text alone can&apos;t predict bestsellers: lessons from testing a prediction algorithm in the wild.</description><pubDate>Wed, 28 Sep 2016 00:00:00 GMT</pubDate><category>Artificial Intelligence</category><category>ai</category><category>bestsellers</category><category>data science machine learning</category><category>nlp</category><category>overfitting</category><category>prediction</category><category>publishing</category></item><item><title>Why Keywords Are So Important</title><link>https://chrisx.nyc/posts/why-keywords-are-so-important/</link><guid isPermaLink="true">https://chrisx.nyc/posts/why-keywords-are-so-important/</guid><description>Why keywords may be one of the highest return marketing activities for books, and how they drive Amazon discovery.</description><pubDate>Thu, 21 May 2015 00:00:00 GMT</pubDate><category>Publishing</category><category>book discovery</category><category>marketing</category><category>publishing</category><category>search</category></item></channel></rss>