ko-fi. You'll receive an occasional extra,
But success breeds expectation, and expectation carries its own cruel weight. Arsenal tore Villa apart in a 4-1 win in late December and victories have been hard to come by in the new year – they have only won three of their last nine league games. Liverpool, Manchester United and Chelsea are still below them in the table but the gap is narrowing. With games against United and Chelsea coming in March, the top-three spot Villa have occupied since they beat Wolves in late November suddenly looks in jeopardy. So does their place in the Champions League next season.
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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.
公安机关中初次从事治安管理处罚决定法制审核的人员，应当通过国家统一法律职业资格考试取得法律职业资格。
unsigned long long length(void*data) {