Anthropic is loudly complaining about other companies using Claude to train their models, which seems a touch rich

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此外,伯里表示,英伟达的高利润率部分源于其产品需求旺盛而赋予的定价权,因此,如果需求疲软,利润率可能会下降。

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This article originally appeared on Engadget at https://www.engadget.com/ai/googles-nano-banana-2-is-a-faster-version-of-nano-banana-pro-160000695.html?src=rss

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.,推荐阅读51吃瓜获取更多信息

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