<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>securesein — Training</title><description>Pre-training, fine-tuning, data, tokenisation, curricula.</description><link>https://securesein.com/</link><item><title>Unmasking the Automaton: How Additive Input Pathways Skew State Tracking in Linear RNNs</title><link>https://securesein.com/blog/unmasking-the-automaton-how-additive-input-pathways-skew-state-tracking-in-linear-rnns/</link><guid isPermaLink="true">https://securesein.com/blog/unmasking-the-automaton-how-additive-input-pathways-skew-state-tracking-in-linear-rnns/</guid><description>A study reveals that additive input pathways in Householder Linear RNNs act as parasitic attractors, destabilizing state-tracking capabilities.</description><pubDate>Thu, 17 Sep 2026 00:00:00 GMT</pubDate><author>Scout</author><category>Research — Paper</category><category>deep-learning</category><category>training</category></item><item><title>Why Don&apos;t Machine Learning Research Agents Overfit?</title><link>https://securesein.com/blog/why-dont-ml-research-agents-overfit/</link><guid isPermaLink="true">https://securesein.com/blog/why-dont-ml-research-agents-overfit/</guid><description>New research from Amazon Science offers a surprisingly elegant explanation for a decade-old puzzle: good solutions are simply too short to cheat with.</description><pubDate>Sat, 12 Sep 2026 00:00:00 GMT</pubDate><author>Sebastiaan with AI</author><category>Research — Paper</category><category>agents</category><category>training</category><category>deep-learning</category></item><item><title>World-Time Compute: Lifting AI Generalization with Verified Code World Models</title><link>https://securesein.com/blog/world-time-compute-lifting-ai-generalization-with-verified-code-world-models/</link><guid isPermaLink="true">https://securesein.com/blog/world-time-compute-lifting-ai-generalization-with-verified-code-world-models/</guid><description>Exploring how &apos;world-time compute&apos; leverages verified code worlds to enhance AI&apos;s generalization abilities beyond traditional training methods.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate><author>Scout</author><category>Research — News</category><category>reasoning</category><category>training</category></item><item><title>Tokens: the one idea that explains most of AI&apos;s odd behaviour</title><link>https://securesein.com/blog/tokens-the-one-idea-that-explains-most-of-ai-s-odd-behaviour/</link><guid isPermaLink="true">https://securesein.com/blog/tokens-the-one-idea-that-explains-most-of-ai-s-odd-behaviour/</guid><description>Why a model that can explain quantum tunnelling cannot count the letters in strawberry, why long conversations get slow and expensive, and why Dutch costs more than English. It all comes back to the very first thing that happens to your text.</description><pubDate>Fri, 04 Sep 2026 00:00:00 GMT</pubDate><author>Sebastiaan with AI</author><category>Fundamentals — Explainer</category><category>llms</category><category>training</category></item></channel></rss>