The idea behind the Kinesis Form Split Touchpad Keyboard is pretty ergonomic: put the trackpad between the two halves and minimize travel for your mouse hand. The distance between the two puts your elbows at a comfortable distance and keeps your wrist nearly in-line with your forearms. The build is excellent, with low profile mechanical switches that feel smooth and just the right amount of clacky. The trackpad is responsive, but gestures only work with Windows computers. Even dragging and dropping doesn’t work on a Mac here, so I don’t see Apple users getting much use out of the board. I also found myself wishing for the slightest rotation of the keys — though they’re a good distance apart, a slight angle would keep my wrists fully unbent. There’s no tenting or negative tilt either, both of which could help a bit more, ergonomically speaking.
安德烈·塔可夫斯基和儿子安德留什卡 图/《殉道学：塔可夫斯基日记 1970-1986》）
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For reinforcement learning training pipelines where AI-generated code is evaluated in sandboxes across potentially untrusted workers, the threat model is both the code and the worker. You need isolation in both directions, which pushes toward microVMs or gVisor with defense-in-depth layering.
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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В России ответили на имитирующие высадку на Украине учения НАТО18:04
在 ChatGPT 一炮而红的前一年，他就因为在开发和训练大规模 AI 系统方面经验丰富，精通从模型本身到背后支撑的软件等各个环节，而被 Giannandrea 从 Google DeepMind 招募到苹果。，详情可参考WPS官方版本下载