A preregistered study of Anthropic's Sonnet 5 found that explicitly requesting high reasoning effort increased mean delivered cost by $0.01031 per call compared with omitting the effort term, while ac…
Microsoft introduced MAI-Thinking-1, a 35B-active, ~1T-total parameter sparse Mixture of Experts reasoning model that matches leading models on software engineering benchmarks and is preferred to Sonn…
Google DeepMind released DiffusionGemma, an experimental open-weight model that converts the Gemma 4 architecture into a discrete text-diffusion system using less than 10% of Gemma 4's original traini…
A new arXiv paper, Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning, reports a 1T-parameter mixture-of-experts reasoning model trained with reinforcement learning from verifi…