<?xml version="1.0" encoding="UTF-8"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:news="http://www.google.com/schemas/sitemap-news/0.9"><url><loc>https://egoistai.com/articles/context-language-models-edit-context</loc><news:news><news:publication><news:name>EgoistAI</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-02T00:00:00.000Z</news:publication_date><news:title>Context Language Models Let Agents Rewrite Their Own Working Memory—With New Failure Modes</news:title></news:news></url><url><loc>https://egoistai.com/articles/long-running-ai-agent-architecture-state-context-oversight</loc><news:news><news:publication><news:name>EgoistAI</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-02T00:00:00.000Z</news:publication_date><news:title>Long-Running AI Agents Need Three Memories: Working Context, Durable State, and an Audit Record</news:title></news:news></url><url><loc>https://egoistai.com/articles/pi-durable-crash-resilient-agent-harness</loc><news:news><news:publication><news:name>EgoistAI</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-02T00:00:00.000Z</news:publication_date><news:title>Pi Durable Checkpoints Long-Running Agents and Replays Only Tools Marked Safe</news:title></news:news></url><url><loc>https://egoistai.com/articles/ai-performance-stack-model-kernels-microvms-analysis</loc><news:news><news:publication><news:name>EgoistAI</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-01T00:00:00.000Z</news:publication_date><news:title>AI Performance Is Becoming a Three-Layer Problem: Model Trajectories, Tuned Kernels, and Secure Runtimes</news:title></news:news></url><url><loc>https://egoistai.com/articles/gemini-4-argon-long-horizon-model-rollout</loc><news:news><news:publication><news:name>EgoistAI</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-01T00:00:00.000Z</news:publication_date><news:title>Gemini 4 Argon Starts With Cyber Defenders, a 1M-Token Output Limit, and Phased Access</news:title></news:news></url><url><loc>https://egoistai.com/articles/magnitude-self-optimizing-local-inference-engine</loc><news:news><news:publication><news:name>EgoistAI</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-01T00:00:00.000Z</news:publication_date><news:title>Magnitude Tunes Local AI Kernels to Your Hardware—But Its Speed Claims Need Workload-Level Tests</news:title></news:news></url></urlset>