The last six months in LLMs in five minutes

In the last six months, there have been significant advancements in the field of large language models (LLMs). A key turning point was November 2025, when substantial changes occurred in the models’ ability to generate code. During this period, the model considered “the best” changed hands several times among major providers, including Anthropic, OpenAI, and Google. A test used to evaluate the differences between the models involves generating a complex image of a pelican riding a bicycle, which proves to be a challenging task due to the intricacies of drawing pelicans and bicycles.

The coding models have improved significantly, transitioning from often being useless to being good enough to be used daily without requiring a substantial amount of time to correct errors. This improvement is partly due to the use of reinforcement learning techniques to enhance the quality of code generated by the models. The enhancement in the models’ coding capabilities has opened up new possibilities for their use in practical projects and applications.

These advancements in LLMs are significant because they have the potential to revolutionize the way we work with technology and information. The models’ ability to generate high-quality code and perform complex tasks can increase productivity and allow people to focus on more creative and strategic tasks. Additionally, the improvement in LLMs may have a substantial impact on the way technological solutions are developed and implemented across various industries.

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