近日，IBM 高级副总裁 Rob Thomas 发布文章，回应外界围绕「AI 能否快速替代 COBOL 与大型机」的讨论。
Жители Санкт-Петербурга устроили «крысогон»17:52。搜狗输入法2026对此有专业解读
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Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08。雷电模拟器官方版本下载对此有专业解读
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.
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