This is a game-changer announcement by Apple around cryptography. It is the “HTTPS moment for AI” in some ways.. Here is what this means: your private confidential data can be pooled with other data sources and used to securely improve your UX and that of the wider community without even revealing your private data at all: it stays encrypted end-to-end. This is a win-win, a rare non-zero-sum game in technology. For example, consider a picture on your device. It gets converted to vector embeddings (the numbers you see below), then encrypted and sent to the “Homomorphic Encryption” (HE) process running on a server which returns a fully encrypted result back, without decrypting (revealing) the encrypted user private data sent initially - even for it’s own processing. This is search over fully encrypted data! The user gets a notification that the picture region here looks like the Eiffel Tower in this example. Thus this system enables using the network hivemind to securely to improve the UX across so many applications in the time ahead. It will especially benefit AI products which have a direct relationship with end-users as now the standalone tool with access to confidential data can also benefit from network effects for optimal UX. Information wants to be free and mashed together endlessly, and this pushes in that direction. cc @AravSrinivas @sama -> FHE is a key enabling technology over a 5 year horizon. This is how you leapfrog Google.