Fintech company Block lays off 4,000 of its 10,000 staff, citing gains from AI

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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.

把你在 Ling Studio 里得到的结论/代码/图表,作为输入让 Tbox 生成可交付的文档版本

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Kennedy’s goal is for Good Inside to provide more comprehensive parenting support than any one self-help book can offer. The Good Inside app features multi-part parenting workshops, snackable content like a 3-minute video of Kennedy explaining “how to get your kid to stay in their bed,” and a private community where subscribers ask for advice and share their parenting wins: One mom crowdsources ideas for books related to grief and sadness; another touts progress on teaching her kid how to lose graciously.

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