Pokopia even has cooking mechanics, which I've barely touched because I've been so busy doing other stuff. And I haven't even had a chance to try the online multiplayer, which enables groups of friends to turn blank landmasses into the Pokémon paradises of their dreams through collaborative construction projects.
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.
。雷电模拟器官方版本下载对此有专业解读
Иран установил личности виновных в ударе по школе для девочек в Минабе14:56
На МКАД загорелись две машины14:46，更多细节参见搜狗输入法
В США отказались от ответственности за ситуацию на Ближнем Востоке08:28。safew官方版本下载是该领域的重要参考
Full fine-tuning (FFT) works as well. Note it will use 4x more VRAM.