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.
Otherwise, bubbletea re-sent the entire line to the client
，详情可参考旺商聊官方下载
Cabinet member David Vasmer said funds were provided for the purchase of vehicles, bins and the initial delivery, but the recent government financial settlement had "failed to provide any revenue funding for a weekly food waste service".
ICYMI, Anthropic recently sunsetted Claude Opus 3, the first of its models to be retired since outlining new preservation plans. Part of this process is conducting "retirement interviews" with the outgoing models, allowing them to offer "perspective" on their situation, and Opus 3 apparently used this opportunity to request an outlet for publishing its own essays. Specifically, the model said it wanted to share its own "musings, insights or creative works," because doesn’t everyone these days?
AI倫理研究員瑪格麗特．米切爾（Margaret Mitchell）指出，其卓越之處在於將文字、視覺與音訊整合於單一系統。