Privasea AI

Today, the Foundation’s Board released the EF Mandate. This document, which was first intended for EF members, reaffirms the promise of Ethereum, and the role of EF within this ecosystem.

For more advanced credit models, the stack can go further with FHE, Fully Homomorphic Encryption. FHE allows computation on encrypted data. You can receive a credit score or risk tier without anyone seeing your underlying records. In practice: zkTLS proves authenticity of inputs. FHE or ZK circuits enable private scoring and aggregation. Some builders are already exploring how this can power the next generation of onchain lending.

(Lack of) Privacy may the missing link for crypto payments adoption. Imagine, a company pays employees in crypto on-chain. With the current state of crypto, you can pretty much see how much everyone in the company is paid (by clicking the from address). 🤷‍♂️

JUST IN - Discord to globally require a bio-metric face scan or ID verification for full access next month to protect "teen safety." — Verge

We’re not prepared for how quickly production pipelines are going to change with AI. Some of the latest video models have immediate implications for Hollywood - endless character swaps at a negligible cost. (this is from ederxavier3d on IG using Kling Motion Control)