In the months since, I continued my real-life work as a Data Scientist while keeping up-to-date on the latest LLMs popping up on OpenRouter. In August, Google announced the release of their Nano Banana generative image AI with a corresponding API that’s difficult to use, so I open-sourced the gemimg Python package that serves as an API wrapper. It’s not a thrilling project: there’s little room or need for creative implementation and my satisfaction with it was the net present value with what it enabled rather than writing the tool itself. Therefore as an experiment, I plopped the feature-complete code into various up-and-coming LLMs on OpenRouter and prompted the models to identify and fix any issues with the Python code: if it failed, it’s a good test for the current capabilities of LLMs, if it succeeded, then it’s a software quality increase for potential users of the package and I have no moral objection to it. The LLMs actually were helpful: in addition to adding good function docstrings and type hints, it identified more Pythonic implementations of various code blocks.
Anthropic did not immediately respond to Engadget's comment request. Earlier in the day, a spokesperson for the company said the contract Anthropic received after CEO Dario Amodei outlined Anthropic's position made “virtually no progress” on preventing the outlined misuses.
，更多细节参见搜狗输入法2026
We reuse our scavanger counter, so values 0...n
所以张清森突发奇想，做了一个几乎不算创新但特有效的改动，把线材做成 0.5米，1米，1.5米，2米，3米，5米 等等不同长度，结果自然大受欢迎。
Кадр: The Sun / YouTube