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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Grammarly can recognize an incorrect use of numbers while Ginger can’t recognize an incorrect use of numbers.
Some ergonomic keyboards come with permanent or removable wrist or palm rests, which can be cushioned or hard. This is another area where opinions diverge: proponents claim they help you maintain a neutral hand position, while detractors say they put pressure on the tendons and can cause wrist pain or even exacerbate conditions like carpal tunnel. Ideally, your palms should be resting, not your wrists, and you might find you like having that support or you may find the pressure uncomfortable.