<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Dive — The Latent Daily</title><description>Long-form reporting and analysis.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/deep-dive.xml" rel="self" type="application/rss+xml"/><item><title>The economics of AI: what it costs to train and run frontier models</title><link>https://thelatentdaily.com/articles/the-economics-of-ai-training-and-inference-costs/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/the-economics-of-ai-training-and-inference-costs/</guid><description>A deep dive into AI economics: training compute, chips and data centers, inference costs, falling token prices, business models and who captures the value.</description><pubDate>Sun, 18 Oct 2026 02:50:00 GMT</pubDate><category>Deep Dive</category><category>economics</category><category>compute</category><category>inference</category><category>business-models</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Open vs. closed AI models: the full debate</title><link>https://thelatentdaily.com/articles/open-vs-closed-ai-models-the-full-debate/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/open-vs-closed-ai-models-the-full-debate/</guid><description>A deep dive into open-weight versus closed AI models: definitions, arguments on innovation, safety and competition, business strategies and the policy debate.</description><pubDate>Sun, 18 Oct 2026 02:49:00 GMT</pubDate><category>Deep Dive</category><category>open-source</category><category>open-weights</category><category>ai-policy</category><category>safety</category><author>dario_admin@resolvia-crm.tech</author></item></channel></rss>