ORNITH-1.5 OPEN MODELS LAUNCH IN 397B, 35B, AND 9 B SIZES

Summary from the TLDR AI newsletter

Ornith-1.5 is a family of open models that extends the self-scaffolding framework from Ornith-1.0 into a closed self-improvement loop. The self-improvement loop from Ornith-1.0 was expanded from scaffold and rollout optimization to jointly optimizing task generation, scaffold construction, and solution rollouts. Ornith-1.5 continually generates new training tasks, discovers effective strategies for solving them, and improves the policy through reinforcement learning. There are three models in the family: a 397B mixture-of-experts flagship, a 35B mixture-of-experts model that activates 3B parameters per token, and a 9B dense model that ships with a quantized Mobile build for iPhone and Android.