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Chaum’s idea was to break the linkage between the issuance and usage of a credential. This means that when Alice shows her credential to the website, all the site learns is that Alice has been given a valid credential. The site should not learn which issuance flow produced her the credential, which means it should not learn her exact ID; and this should hold even if the website colludes with (or literally is) the issuer of the credentials. The result is that, to the website, at least, Alice’s browsing can be unlinked from her identity. Imn other words, she can “hide” within the anonymity set of all users who obtained credentials.
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“We have historically referred to apprenticeship in this country as one of the best-kept secrets,” Andrews of NECA said. “And I would proclaim that it is no longer a secret. It is an open invitation to explore this career.”
The distinction matters because tactics that boost Google rankings don't automatically improve your chances of being cited by AI models, and vice versa. A page optimized perfectly for SEO might never appear in AI responses if it doesn't align with how language models evaluate content. Conversely, content that AI models consistently cite might not rank highly in traditional search if it lacks conventional SEO signals.