Shreeyam's mother says that he told her the protest would be "Gen Z youth. I'll be in my uniform. It will be peaceful."
Around this time, my coworkers were pushing GitHub Copilot within Visual Studio Code as a coding aid, particularly around then-new Claude Sonnet 4.5. For my data science work, Sonnet 4.5 in Copilot was not helpful and tended to create overly verbose Jupyter Notebooks so I was not impressed. However, in November, Google then released Nano Banana Pro which necessitated an immediate update to gemimg for compatibility with the model. After experimenting with Nano Banana Pro, I discovered that the model can create images with arbitrary grids (e.g. 2x2, 3x2) as an extremely practical workflow, so I quickly wrote a spec to implement support and also slice each subimage out of it to save individually. I knew this workflow is relatively simple-but-tedious to implement using Pillow shenanigans, so I felt safe enough to ask Copilot to Create a grid.py file that implements the Grid class as described in issue #15, and it did just that although with some errors in areas not mentioned in the spec (e.g. mixing row/column order) but they were easily fixed with more specific prompting. Even accounting for handling errors, that’s enough of a material productivity gain to be more optimistic of agent capabilities, but not nearly enough to become an AI hypester.
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新芒xAI如是说：热闹属于流量，理性属于判断机器人时代确实正在加速到来，这一点毋庸置疑。技术进步是真实存在的，场景拓展也在发生。
但从2024 年开始，这套运行多年的逻辑，正在悄然失效。时间走到 2026 年，曾经熟悉的周期剧本彻底改写，整个存储行业，正同时发生五大关键变化。在此转变之下，存储芯片产业正经历一场从“规模驱动的周期博弈”向“技术驱动的价值竞争”的根本性转向。