<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>The Latent Notes</title><description>Clear, illustrated notes on AI models, benchmarks and engineering.</description><link>https://thelatentnotes.com/</link><language>en</language><item><title>The cost of an AI task is more than its token price</title><link>https://thelatentnotes.com/articles/cost-of-an-ai-task/</link><guid isPermaLink="true">https://thelatentnotes.com/articles/cost-of-an-ai-task/</guid><description>A simple way to account for input, output, retries and tools when comparing models.</description><pubDate>Sun, 11 Oct 2026 00:00:00 GMT</pubDate></item><item><title>Gemini 4 Argon: the numbers behind the launch</title><link>https://thelatentnotes.com/articles/gemini-4-argon/</link><guid isPermaLink="true">https://thelatentnotes.com/articles/gemini-4-argon/</guid><description>A closer look at the output limit, token pricing and coding benchmarks — with the comparisons kept in context.</description><pubDate>Sun, 11 Oct 2026 00:00:00 GMT</pubDate></item><item><title>Context windows and output limits are different things</title><link>https://thelatentnotes.com/articles/output-tokens-and-context/</link><guid isPermaLink="true">https://thelatentnotes.com/articles/output-tokens-and-context/</guid><description>Two token limits, two different questions. Here is how to read a model specification without mixing them up.</description><pubDate>Sun, 11 Oct 2026 00:00:00 GMT</pubDate></item><item><title>How to read a model benchmark without the hype</title><link>https://thelatentnotes.com/articles/reading-model-benchmarks/</link><guid isPermaLink="true">https://thelatentnotes.com/articles/reading-model-benchmarks/</guid><description>A score becomes useful when you know the task, the evaluation setup and what counts as success.</description><pubDate>Sun, 11 Oct 2026 00:00:00 GMT</pubDate></item></channel></rss>