3. I started a new session, and asked it to check the specification markdown file, and to check all the documentation available, and start implementing the Z80 emulator. The rules were to never access the Internet for any reason (I supervised the agent while it was implementing the code, to make sure this didn’t happen), to never search the disk for similar source code, as this was a “clean room” implementation.
3. 行政辅助：处理文件整理、预约协调等文书工作，帮医院行政部门减负，让医护人员能专注于治病。
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筛选这类标的的关键标准是：该公司是AI Agent的“受害者”还是“载体”？以ServiceNow为例，尽管其股价近期暴跌，但通过收购Moveworks、Armis，它正试图从“被Agent替代”转向“成为Agent平台”，这种转型若能成功，有望带来估值修复。
This month, OpenAI announced their Codex app and my coworkers were asking questions. So I downloaded it, and as a test case for the GPT-5.2-Codex (high) model, I asked it to reimplement the UMAP algorithm in Rust. UMAP is a dimensionality reduction technique that can take in a high-dimensional matrix of data and simultaneously cluster and visualize data in lower dimensions. However, it is a very computationally-intensive algorithm and the only tool that can do it quickly is NVIDIA’s cuML which requires CUDA dependency hell. If I can create a UMAP package in Rust that’s superfast with minimal dependencies, that is an massive productivity gain for the type of work I do and can enable fun applications if fast enough.