在中国市场，这一转型呈现出更为复杂的现实图景。一方面，继续依赖抽佣，短期内仍可能支撑财务表现；但长期看，生态摩擦加剧、供给侧对抗与用户体验下降，将反过来侵蚀平台的商业基础。另一方面，转向服务化、工具化与效率定价，虽然短期承压，却有助于重建平台与供给侧之间的关系，使平台从分配者逐步转向基础设施提供者。
But now Microsoft is distracted by AI — it's been pushing Copilot and AI features for years, instead of improving the Windows experience with more useful upgrades. Recent talk of agentic AI capabilities, which would let Copilot handle tasks for you automatically, also sparked plenty of criticism from Windows users. And with all of the focus on AI, Microsoft has also released some disastrous Windows updates over the last year, which have bricked OS installations. So, Apple, why not make a direct play for Windows users?，更多细节参见快连下载安装
Content Scramble System (CSS) — Wikipedia，详情可参考搜狗输入法2026
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.