On Monday 30 April, ahead of the May elections, join Gaby Hinsliff, Zoe Williams, Polly Toynbee and Rafael Behr as they discuss how much of a threat Labour faces from the Green party and Reform – and whether Keir Starmer can survive as leader of the Labour party. Book tickets here
圖像加註文字，過去30年，香港法律禁止任何狗隻進入餐廳，貓和其他寵物則可以。Article InformationAuthor, 葉靖斯
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2月27日，界面新闻就此事致电中国邮政客服，未获得有效回复。此前，《尘白禁区》发布微博称，将联动中国邮政推出线下邮局快闪活动“笺定恒约”，并同步发售联名纪念礼盒。据公开资料，《尘白禁区》于2023年上线，后转为成人向游戏，全渠道禁止未成年人登录，游戏中大量女性角色服装暴露、身材夸张，被批低俗擦边。（界面新闻）
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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