In the 1980s, cryptographers mathematically proved the feasibility of zero-knowledge proofs, commonly known as ZK! ➤ Compressing "complex computation" into a small proof Anyone can quickly confirm the result is correct by simply looking at this proof, without needing to rerun the original calculation! For example: There's a unique apple inside a door. Instead of seeing you enter a password, open the door, and then take the apple to prove you have the password, you only need to prove you can get the apple! ————— ʕ·͡ˑ·ཻʔ —————————— ʕ·͡ˑ·ཻʔ ————— ➤ Turning "trust" into an exchangeable and rewardable service! Because generating proofs is too resource-intensive, in reality, the work is usually distributed across a group of specialized machines, each performing the calculations individually, and then the proofs are synthesized. This creates a new market: whoever provides the computing power (the prover) gets rewarded! @cysic_xyz, as the first full-stack computing network, does exactly this: connecting circuits, chips, and networks to transform proof computing power into efficient, tradable, and incentivized infrastructure. ————— ʕ·͡ˑ·ཻʔ —————————— ʕ·͡ˑ·ཻʔ ————— ➤ Why the need for a shift from GPUs to custom ZK chips? Currently, most proofs run on GPUs—because GPUs have strong parallel capabilities, handling many repetitive arithmetic operations at once. However, GPUs are designed for rendering images and are not fully suited for tasks like finite field arithmetic, resulting in significant waste (performing unnecessary instructions and consuming energy for data transfer). The next step is to develop dedicated chips (ASICs/custom silicon) optimized for ZK, directly allocating resources to core primitives such as hashing, modular arithmetic, and Fast Fourier Transform, resulting in higher power consumption, faster speeds, and lower costs. So @Cysic_CN's profile is very clear: transforming GPUs, ASICs, and computing resources into highly liquid, revenue-generating assets. This time, Cysic's mission is clear: let's build it together! @leofanxiong @5herv1n @JOPI_piging @RaeWrh