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imapenguin.com
| | techtldr.com
4.9 parsecs away

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| | Updated in 2020 to work with Python 3. My company uses multiple git repos that all depend on one another. Often I find myself trying to grep through a few of them at the same time. Regular grep works, but it takes a long time and displays a lot of noise. git grep only searches [...]
| | hackaday.io
5.3 parsecs away

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| | I've posted the scripts used to generate the anti-aliased text used in the User Interface. The first is a Photoshop script,CreateFontData.jsx. This makes a set of PNG files, one for each character. The second isConvertText.py, a Python script that takes the output of CreateFontData and generates C code for display the characters on the Epson LCD used in the project. Note these scripts have some hard-coded pathnames in them (to the development folder) but this is pretty easy to find and modify.
| | ezyang.github.io
7.0 parsecs away

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| | When you're learning to use a new framework or library, simple uses of the software can be done just by copy pasting code from tutorials and tweaking them as necessary. But at some point, it's a good idea to just slog through reading the docs from top-to-bottom, to get a full understanding of what is and is not possible in the software. One of the big wins of AI coding is that LLMs know so many things from their pretraining. For extremely popular frameworks that occur prominently in the pretraining set, an LLM is likely to have memorized most aspects of how to use the framework. But for things that are not so common or beyond the knowledge cutoff, you will likely get a model that hallucinates things. Ideally, an agentic model would know to do a web search an...
| | henko.net
12.6 parsecs away

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| If you use AI to solve puzzles for you, you are kind of missing the point.