Microsoft's MAI-Thinking-1: 35B-active MoE model trained on 8,000 GB200s
Microsoft published a technical report on MAI-Thinking-1, a 35-billion-active-parameter reasoning model trained on 8,000 GB200 GPUs with a 256,000-token context window.
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Anthropic disclosed that Claude now writes over 80% of code merged into production as of May 2026, with engineers merging 8× more code per day than in 2024. In internal experiments, AI agents improved a safety research task by 97% in one week—far outpacing human researchers.