A better streams API is possible for JavaScript

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Nvidia chips have led in the training of AI models, but it has faced an onslaught of competition in inference, the process whereby a trained model is applied to real-world data to generate answers through reasoning.

纽约州总检察长莱蒂西亚·詹姆斯日前对知名游戏开发商Valve提起诉讼,指控该公司旗下游戏中的“战利品箱”机制构成非法赌博,并对未成年人造成成瘾风险。

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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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Last year, the Marine Conservation Society said mackerel was "under immense pressure from fishing activities across multiple nations" and that the stocks would soon be unable to replenish naturally.