Privacy zcash:native near:native LEV TRADE hyperliquid:native ethereum:0x232ce3bd40fcd6f80f3d55a522d03f25df784ee2 ethereum:0xb1d1eae60eea9525032a6dcb4c1ce336a1de71be AI base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf bittensor:native ETH BETA ethereum:0x1f9840a85d5af5bf1d1762f925bdaddc4201f984 ethereum:0xb50721bcf8d664c30412cfbc6cf7a15145234ad1 ethereum:0x57e114b691db790c35207b2e685d4a43181e6061 ethereum:0xfe0c30065b384f05761f15d0cc899d4f9f9cc0eb ONCHAIN solana:pumpCmXqMfrsAkQ5r49WcJnRayYRqmXz6ae8H7H9Dfn solana:6GmAFSYs4gk3FDao5FzzySQpPZaWsa4rUJHacpMpUNgx robinhood:0x39dbed3a2bd333467115de45665cc57f813c4571 SUUUUUUUUPER CYCLE

Privacy is easy to argue for. Building the infrastructure that actually delivers it is much harder. At Exploit, @xcolwell of @urnetwork, @haitzu of @KhalaResearch + @KeithSingery of @taodotcom bring three perspectives - builder, investor/researcher + Bittensor operator - to what an open, encrypted internet needs to look like in practice:

Privacy is becoming a bigger conversation in crypto. zcash:native is right in the middle of it. Zcash gives users the option to make transactions transparent or shielded, allowing transaction details to remain private when needed. That makes zcash:native different from most major cryptocurrencies. The bigger story isn’t just privacy. It’s whether private digital money can become useful at scale. zcash:native is definitely worth watching. DYOR.

privacy around AI is becoming a much bigger conversation that's why i've been paying attention to Venice as these models get better, we're going to give them more context about our work, money and personal lives, which makes private inference increasingly important Venice has been building directly around that problem with: > TEE > zero data retention > end-to-end encrypted inference AI adoption keeps growing, and privacy should grow with it