In an internet where you’re more likely to interact with bots than actual humans online, while children become more technologically savvy everyday and can navigate phones better than they can bikes, social media platforms are looking for ways to balance keeping people’s privacy top of mind while ensuring the safety of their underage users. Unfortunately, these two parameters often come in contradiction with one another, and the lack of government oversight means there’s little incentive for these companies to pursue anything more than keeping the status quo.
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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.。业内人士推荐同城约会作为进阶阅读