Recently, ZEC has been making efforts in the field of privacy, and my STRK is expected to recoup its investment by incorporating privacy concepts ， In addition to the market trend, I came across an interesting new project with a well crafted AI+privacy oriented liquidity infrastructure @ Deluthium, and a good background with investment from Flock+Amber (yes, Amber, who promoted EdgeX) First, let's talk about the key points In the early days, there weren't many people involved Those who usually have more transactions on the chain can earn points during the first wave of activities from the 18th to the 25th https://deluthium.ai/login?code=34BXT6 How to earn points (mainly on Base, BSC, ETH chains) It's very simple, it's social media tasks+trading volume (trading 1 dollar equals 1 point) Trading rewards are crucial: -Trading over 100U daily for 3 consecutive days earns 300 points -Get 200 points for every 200U increase in trading volume -Get 200 points for every 10 additional transactions Social media rewards: Follow Twitter, repost tweets, join DC chat, etc. to earn points I almost forgot, Deluthium has a 1000U cash lottery on the Milky Way that can be easily played: https://app. (galxe.com)/quest/ZRktNLLVeKgGFbGjsPtimR/GC5DJt82Yk At the same time, Deluthium has launched a limited time dual mining reward activity with FLock, which allows you to earn Deluthium points and FLOCK tokens at the same time (mainly for brushing trading volume rankings. If the trading volume is large, it is not bad, but if there is no need to specifically brush rankings) The interesting aspects of Deluthium's AI+privacy technology Deluthium is the first AI powered liquidity infrastructure that prioritizes privacy through reinforcement learning. Simply put, it uses reinforcement learning as the execution layer for on chain transactions. Its model continuously learns and evolves on the chain, with the goal of achieving zero slippage on chain execution - without exposing fine-grained transaction data, not being targeted by MEVs, and becoming smarter as it is used The highlight lies in this: the future model aims to achieve zero sliding points, so this activity is a bit like a sliding point wear compensation integral. The participation cost is relatively low, similar to the Binance Alpha brushing strategy, and can be easily brushed, with a lower cost than brushing Alpha Behind Deluthium, there is also the blessing of http://(FLock. io) These two happen to be one for privacy training and the other for privacy execution, combined to form the prototype of an AI native liquidity protocol, with a cutting-edge approach I personally feel that this direction is quite in line with the current new narrative of privacy+AI, If this sector can gain momentum in the future, it is highly likely that such underlying infrastructure projects will also follow suit