<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Hammer.ai, blog</title><description>Regulated-domain AI, world models, and policy-driven agents. Built in the open.</description><link>https://blog.hammer.ai/</link><language>en-us</language><item><title>The LLM Learned to Stop Planning</title><link>https://blog.hammer.ai/blog/03-the-llm-learned-to-stop-planning/</link><guid isPermaLink="true">https://blog.hammer.ai/blog/03-the-llm-learned-to-stop-planning/</guid><description>We let an LLM design competing species, run them headless in the living world, and refine them from the results. Over three rounds it revived an extinct lineage into the winner and abandoned its own planner. Going deeper on Part 1.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><category>ai</category><category>agents</category><category>goap</category><category>world-models</category><category>simulation</category></item><item><title>Part 1: A World From a Seed</title><link>https://blog.hammer.ai/blog/01-hello-world-models/</link><guid isPermaLink="true">https://blog.hammer.ai/blog/01-hello-world-models/</guid><description>A handful of procedural rules can grow a whole living world. First a planet from a seed, then life that adapts to it, procedurally, and with an LLM. This is how games can teach our agents.</description><pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate><category>ai</category><category>games</category><category>procgen</category><category>world-models</category></item><item><title>Hello World Models</title><link>https://blog.hammer.ai/blog/start-here/</link><guid isPermaLink="true">https://blog.hammer.ai/blog/start-here/</guid><description>Why we build practice worlds for regulated AI, learned from games. The story behind the series, and what it explores: costs, tradeoffs, and worlds grown from the law itself.</description><pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate><category>ai</category><category>games</category><category>regulated-ai</category><category>world-models</category><category>intro</category></item><item><title>Implementing TurboQuant in llama.cpp: CUDA Scars and What Actually Ships</title><link>https://blog.hammer.ai/blog/implementing-turboquant-in-llamacpp-cuda-scars-and-what-actually-ships/</link><guid isPermaLink="true">https://blog.hammer.ai/blog/implementing-turboquant-in-llamacpp-cuda-scars-and-what-actually-ships/</guid><description>Part 1 of 2.
Why We Did This Hammer.ai runs a industrial research lab hyper focused on regulated domain document understand at extremely efficient margins. Private equity self funded companies like f</description><pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate><category>cuda</category><category>GPU</category><category>llm</category><category>quantization</category></item></channel></rss>