近年来，受宏观经济深度调整，国内信贷需求偏弱，LPR（贷款市场报价利率）重新定价等因素影响，银行的挑战前所未有。置身周期底部，谁能跑出更快更稳的资产扩张曲线，谁就能在下一轮洗牌中掌握主动权。
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abort(reason) { closed = true; chunks.length = 0; },
Кадр: Novo jutro / YouTube
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.