<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Oropis</title><description>Research and writing on small models.</description><link>https://oropis.com/</link><item><title>Emergence Is a Property of Opponents: Self-Play and the Curricula That Games Build</title><link>https://oropis.com/posts/emergent-behavior-self-play/</link><guid isPermaLink="true">https://oropis.com/posts/emergent-behavior-self-play/</guid><description>In multi-agent RL the environment includes the other learners. Self-play turns that instability into a curriculum: hide-and-seek agents invent pursuit, walls, and tool use that no reward function names.</description><pubDate>Thu, 13 Aug 2026 00:00:00 GMT</pubDate></item><item><title>NNUE: The 22-Megabyte Neural Network That Saved Chess Engines</title><link>https://oropis.com/posts/nnue/</link><guid isPermaLink="true">https://oropis.com/posts/nnue/</guid><description>How a 41,024 × 256 × 32 × 1 fixed-point network, recomputed only where it changed, let a CPU engine run a 10-million-node search with a learned evaluation, and what it teaches about low-bit inference.</description><pubDate>Thu, 13 Aug 2026 00:00:00 GMT</pubDate></item><item><title>The Era of 1-bit LLMs: Three Symbols, 1.58 Bits, Zero Multiplies</title><link>https://oropis.com/posts/era-of-1-bit-llms/</link><guid isPermaLink="true">https://oropis.com/posts/era-of-1-bit-llms/</guid><description>Why a weight that can say &apos;a bit negative&apos; might be the biggest efficiency lever in LLM inference, from BitNet b1.58 and Bitnet.cpp to the two-bit frontier.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate></item><item><title>TetraNet: Power-of-Two Quaternary Weights for Small Decoder-Only Language Models</title><link>https://oropis.com/posts/tetranet/</link><guid isPermaLink="true">https://oropis.com/posts/tetranet/</guid><description>A symmetric quaternary weight grid {−1, −c, c, 1} with power-of-two intermediates reclaims the fourth state of a two-bit register while keeping the dot product multiply-free.</description><pubDate>Fri, 17 Jul 2026 00:00:00 GMT</pubDate></item></channel></rss>