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I hope against hope that AI spam detection never becomes a thing. At least with today's methods, I can tell a person why their message was marked as spam. If AI detection becomes the norm, all I can do is shrug and say, "Sorry, it's the algorithm."


Gmail has used machine learning to classify spam since its creation.

https://workspace.google.com/blog/identity-and-security/an-o...


Gmail is successful because it naturally is the biggest honeypot. Most antispam API filters are like accumulators. When a trend is detected, the rest are protected. But overall, it's about scale.


SpamAssassin has a Bayes filter that you can train with ham and spam. This has basically been a thing since forever.


"A plan for Spam" (2002) - https://paulgraham.com/spam.html


How do you think SpamAssassin/gmail/outlook created their spam rules?




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