After watching the trending topics about Wang Xiaofei these past few days, my biggest feeling can be summed up in one sentence: In this era, spreading rumors is low-cost, but proving that you haven't lied is ridiculously expensive. Even if you have a court judgment in your hand, it can be repeatedly crushed by emotions, labels, and conspiracy theories; ordinary people have it worse, as without "recognized evidence," explanations are equivalent to no explanations. In this world today, it's no longer about "who is more reasonable," but rather "who can be proven." And because of this, I increasingly feel that the path of ZK is the right one.
Many people focus on privacy and performance when discussing ZK, but in my opinion, the core can actually be summed up in one sentence: replace "I trust you" with "you prove it to me."
@brevis_zk / gBrevis is not just another ZK project; it uses ZK in more powerful ways, not just proving "you didn't cheat" but that you didn't lie, you actually calculated, and you truly did this thing. From data, behavior to computation, everything can be compressed into proof, verified, and can also be used across chains.
The so-called Infinite Compute means: complex computations, risk control, and AI reasoning that cannot be run on-chain are not impossible to compute, but rather are first calculated off-chain and then "stamped" using ZK.
My judgment on ZK is also very clear now: its value lies not in privacy, but in rewriting the trust structure. ZK in the next cycle is likely to be like EVM in the last round—it's not a functional upgrade, it's a paradigm shift. What gBrevis is doing is bringing this future into reality ahead of time.
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After watching the trending topics about Wang Xiaofei these past few days, my biggest feeling can be summed up in one sentence: In this era, spreading rumors is low-cost, but proving that you haven't lied is ridiculously expensive. Even if you have a court judgment in your hand, it can be repeatedly crushed by emotions, labels, and conspiracy theories; ordinary people have it worse, as without "recognized evidence," explanations are equivalent to no explanations. In this world today, it's no longer about "who is more reasonable," but rather "who can be proven." And because of this, I increasingly feel that the path of ZK is the right one.
Many people focus on privacy and performance when discussing ZK, but in my opinion, the core can actually be summed up in one sentence: replace "I trust you" with "you prove it to me."
@brevis_zk / gBrevis is not just another ZK project; it uses ZK in more powerful ways, not just proving "you didn't cheat" but that you didn't lie, you actually calculated, and you truly did this thing. From data, behavior to computation, everything can be compressed into proof, verified, and can also be used across chains.
The so-called Infinite Compute means: complex computations, risk control, and AI reasoning that cannot be run on-chain are not impossible to compute, but rather are first calculated off-chain and then "stamped" using ZK.
My judgment on ZK is also very clear now: its value lies not in privacy, but in rewriting the trust structure. ZK in the next cycle is likely to be like EVM in the last round—it's not a functional upgrade, it's a paradigm shift. What gBrevis is doing is bringing this future into reality ahead of time.
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