Инициатива Мирного совета строится вокруг идеи «коммерческой дипломатии», значит, урегулирование конфликта рассматривается через призму экономических стимулов. Участники встречи обсудили схемы потенциального участия западного бизнеса в проектах реконструкции и роль отдельных стран в будущих гарантиях безопасности Киева. Впрочем, отмечает издание, отсутсвие украинской делегации на совете ставит под вопрос реалистичность таких планов.
Ранее стало известно, что хурма усиливает выработку защитных метаболитов в кишечнике.
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花江峡谷大桥，“横竖都是世界第一”。通车后的首个春节，“桥梁观光+户外体验+民族文化”的新业态，带火桥外人家——贵州贞丰县小花江村。
"The nebula appears to have distinct regions that capture different phases of its evolution — an outer shell of gas that was blown off first and consists mostly of hydrogen, and an inner cloud with more structure that contains a mix of different gases," NASA's blog post reads. The dark line that runs vertically through the nebula, giving it the cranial appearance, could be the result of "an outburst or outflow from the central star, which typically occurs as twin jets burst out in opposite directions." Both Webb's Near-Infrared Camera (NIRCam) and its Mid-Infrared Instrument (MIRI) were used to document the nebula.
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.