The State of LLMs 2025: Progress, Problems, and Predictions

Jul 11, 2026

Sebastian Raschka's 2025 review discusses major developments in large language models, such as DeepSeek R1, RLVR, inference-time scaling, benchmarks, and architectures. The article also includes predictions for 2026.

Why it matters: This review offers an overview of the LLM landscape in 2025, highlighting significant trends and anticipated directions.

Full story at: Ahead of AI — Sebastian Raschka ↗