After watching the changes in the liquidity pool for an entire night, I discovered that the current AI sector is filled with a strong scent of "cheating." Many decentralized computing networks are actually backed by a bunch of centralized servers feeding data, and the so-called anti-censorship is nothing but empty talk. What disgusts me the most are those MEV bots lurking in the memory pool, which exploit millisecond-level latency differences to crazily harvest from normal traders and computing power suppliers.
After studying Fabric's fair ordering mechanism, I feel that these geeks indeed have something.
They did not follow the trend of piling up so-called ultra-high TPS, but instead embedded a threshold encryption module at the base layer. This means that all pending tasks are encrypted before entering the sorter, and the sorting nodes cannot see the contents inside, naturally making it impossible to conduct "sandwich attacks" or malicious queue jumping. Compared to those public chains that pursue extreme speed at the expense of fairness, Fabric's approach, though a bit cumbersome, protects the core logical certainty of bot collaboration.
I have been comparing the logic of Virtuals and Fabric. Virtuals are better at creating emotions and IP, while Fabric is more like building a road. Whether the road is well built cannot be measured solely by the width of the surface; the logic of traffic lights must also be stable enough. Although $ROBO may seem to have a relatively high market value to some people now, if you extend your vision to the future dimension of large-scale robot on-chain operations, this anti-interference infrastructure is the real moat. My current strategy is very simple: I focus not on those flashy candlestick disruptions, but on node access volume and the actual number of computation calls. If bots start using it as a settlement standard, then the current heat is merely a beginning. $ROBO
{future}(ROBOUSDT)
@Fabric Foundation #ROBO