2月26日，华纳兄弟探索公司表示，派拉蒙天空之舞公司提出的1110亿美元新报价，比华纳此前与奈飞达成的协议更有利于股东。此后，奈飞宣布退出对华纳兄弟探索的收购战，为竞争对手派拉蒙的收购扫清道路。奈飞在一份声明中表示：“我们谈判达成的交易本可创造股东价值，且获得监管批准的途径清晰。但我们始终秉持审慎原则，若要匹配派拉蒙的最新报价，该交易对我们来说在财务上已不再具有吸引力。”（界面新闻）
In the months since, I continued my real-life work as a Data Scientist while keeping up-to-date on the latest LLMs popping up on OpenRouter. In August, Google announced the release of their Nano Banana generative image AI with a corresponding API that’s difficult to use, so I open-sourced the gemimg Python package that serves as an API wrapper. It’s not a thrilling project: there’s little room or need for creative implementation and my satisfaction with it was the net present value with what it enabled rather than writing the tool itself. Therefore as an experiment, I plopped the feature-complete code into various up-and-coming LLMs on OpenRouter and prompted the models to identify and fix any issues with the Python code: if it failed, it’s a good test for the current capabilities of LLMs, if it succeeded, then it’s a software quality increase for potential users of the package and I have no moral objection to it. The LLMs actually were helpful: in addition to adding good function docstrings and type hints, it identified more Pythonic implementations of various code blocks.
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When a SpaceX rocket failure set the skies aflame over western Europe last February, no-one was sure if the debris was also polluting our atmosphere.