龙先生介绍，现在骗子们已不再广撒网，而是通过专业团队进行心理操控，让受害者在恐惧与依赖中逐步交出财产控制权。让他印象最深刻的，是骗子们避开银行风控机制的新手段——从申请手机盾提升转账额度，到关闭动账通知、拦截验证码，每一步都设计的严丝合缝。
build-index renders all 1,418 source characters and 34 target characters as 48x48 greyscale PNGs, one per font that natively contains the character. Fontconfig is queried per-character to avoid brute-force rendering across all 230 fonts (97% reduction: 8,881 targeted renders vs 326,140 brute-force).
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The 'magical' blue flower changing farmers' fortunes in India
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.