there is already a swastika unicode glyph. As for the Confederate Flag, they will probably be confused as, if added to unicode, it would likely be rendered as one of the actual confederate flag designs rather than the one which has become popular in recent decades.
It's a Chinese character and there are two variants. The left-hand variant (卍) represents 和 (peace) in religious contexts, whereas the right-hand variant represents 力 (power). The specific glyph the Nazis co-opted is the right-hand variant, and it is considered inappropriate to use in the West (for this reason, I am not reproducing the character here).
The glyph appears in texts predating the existence of Nazi Germany, and I assume that is the reason the Unicode Consortium has not removed the glyph yet.
Note that I am not defending this decision (nor the usage of the glyph today). One could argue that historians should use a special font that can render these two glyphs, but the problem is likely a lot more subtle than I am thinking.
As an aside: the left-hand variant is used in Japanese maps to mark the location of Buddhist temples.
> Note that I am not defending this decision (nor the usage of the glyph today). One could argue that historians should use a special font that can render these two glyphs, but the problem is likely a lot more subtle than I am thinking.
Having a deliberate policy of granting bad people permanent sole ownership of whatever symbols they use seems less than ideal.
This is the famous sofa problem! It's hard to believe it's finally solved; I've spent many evenings staring at the wikipedia article wondering at how even what seem to be the simplest of problems defy the reach of mathematics.
If anyone is unclear on how to switch to microtonal mode (okay, if you're pendantic, "xenharmonic" would be the right term), use the gear at the top-right and change the Tuning system from 12-TET to something else.
AI is the field. Machine learning is one of many specializations within the field. “Generative AI” is the colloquial term for using various machine learning models to generate text, images, video, code, etc.; that is, it’s a subfield of machine learning.
Other subfields of AI include things like search, speech and language understanding, knowledge representation, and so on. There’s a lot more to AI than machine learning and a lot more to machine learning than LLMs (“gen AI”).
Disagree. This is not so much about epistemological correctness as it is about what's useful and convenient. math.tau is an easier and more intuitive constant to work with.
Listen. If someone on stack overflow asks how to do X, do not tell them they don't want to do X unless you explain how they could do X. Maybe that poster would be better off not doing X, but someone else will come along some day who wants X for real.
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