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I've written Mojibake because I don't like the other Unicode libraries for Unicode support. It consists of only two amalgamation files: mojibake.h and mojibake.c. I've added all the most important Unicode algorithms, such as normalization, case conversion, segmentation, bidirectional text, collation, confusable, and others. I regularly test it in these OSes: Linux, macOS, FreeBSD, OpenBSD, NetBSD, and Windows 11. You can find a WASM demo on that site of all the public API functions and the docum

E.g. what if someone prompts an LLM to solve the Riemann hypothesis using this or that approach; and the model actually solves it. Who gets the prize?

They just annoy me and provide very little value. The non-AI gems in between however are very much still worth reading. Has anybody built that already?