DigiNews

Summary

Ornith-1.0 introduces a self-improving family of open-source models tailored for agentic coding tasks, with sizes ranging from 9B Dense to 397B MoE. The post describes a novel training framework where the scaffold is learned alongside solutions, enabling automatic per-task strategies and improved benchmarks while addressing reward hacking. It provides comprehensive benchmark comparisons against major models and highlights edge deployment capabilities.