The state of large language models in 2025: reasoning, inference scaling, and what comes next
Large language model research in 2025 shifted from pure scaling to reasoning-focused training, inference-time scaling, and tool use, while exposing limits of current benchmarks and data access. Sebastian Raschka reviews the year’s key developments, open problems, and his predictions for 2026.