Canadian government demands safety changes from OpenAI

· · 来源:dev资讯

Maggie姐对菜单早已烂熟于心,不要一分钟就把菜点好了。花色繁复的刺身拼盘一上来,她夹起一枚甜虾就塞进嘴里,甚至懒得细细品味,嚼两口便咽下肚。她漫不经心,却很懂吃,挖一勺海胆到盘子里,抹点调料,接着是下一勺,干脆利落,细腻周到,正如她当妈咪的风格。

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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2026

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