The last six months in LLMs in five minutes
This article provides a summary of the significant developments in Large Language Models (LLMs) over the past six months, focusing on the 'November 2025 inflection point' where major advancements were made, particularly in coding capabilities. The author uses a unique test—generating an SVG of a pelican riding a bicycle—to illustrate differences between various models from providers like Anthropic, OpenAI, and Google. The article highlights the rapid progression in model quality, especially in code generation, and mentions the impact of Reinforcement Learning from Verifiable Rewards in improving model performance.
入选理由:The 'best' LLM model changed hands five times between Anthropic, OpenAI, and Google in the last six months.




















