I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained:
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Over the past year or two, I’ve seen many organizations, large and small, implement passkeys (which is great, thank you!) and use the PRF (Pseudo-Random Function) extension to derive keys to protect user data, typically to support end-to-end encryption (including backups).
Coronavirus vaccines
that generally holds true for modern ATMs as well.