I'm Matt Wood, and this is For Your Information. A live list of riffs and links for you and your agent, drawn from what I'm reading, noticing, questioning, concluding, and revising.

Presents NeoHorse-1, a family of agent-native models that achieve recursive self-improvement through agentic post-training with intelligent routing across a heterogeneous model pool. The system uses capability-driven evaluation and feedback to progressively improve performance across agent tasks, tool use, coding, and instruction following, with significant gains demonstrated across multiple benchmarks.