资本市场一边因为“AI恐慌论”，担心AI Agent的大规模应用会彻底替代传统软件，因而抛售传统企业软件公司的股票，导致Salesforce、Adobe，ServiceNow等公司的市值持续蒸发；另一方面又对黄仁勋“AI Agent经济学”的增长逻辑抱有疑虑，担心AI应用不及预期，而卖出英伟达股票，导致其在业绩高涨时出现股价暴跌。
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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