Feels like there’s been a lot of changes in the ZK space recently. Before, everyone was mostly focused on theories and concepts. But now the trend has clearly shifted—more and more teams are diving into real-world applications and solving practical problems. Speaking of real-world applications, the toughest challenge is undoubtedly the bottleneck in computational power. Take the ETH mainnet, for example—every node has to repeatedly execute the same computations. While this ensures decentralization and security, the efficiency is just way too low. Complex computations are basically impossible to run, and the costs are ridiculously high. The old approach was to make on-chain computation faster and stronger. But now, there’s a new game plan: move the heavy lifting off-chain. With ZK technology, computations are done off-chain, and then a proof is generated. On-chain, all that’s needed is a quick verification of the proof. In this shift, @brevis_zk is a standout example. Their zkCoprocessor, to put it simply, is like giving smart contracts access to a supercomputing center. Previously, smart contracts could only handle simple, immediate tasks. If you wanted them to analyze historical data or perform complex computations, it was basically impossible. Now, with Brevis, smart contracts can offload all the dirty and heavy work to the coprocessor. Once the computation is done, the ZK proof is brought back, verified on-chain, and ready to use. The impact is clear. Advanced trading features on PancakeSwap, trustless reward distribution on Usual, and Frax’s cross-chain verification system are all already using this infrastructure. These applications were previously impossible to implement on-chain, but now they can maintain Ethereum-level security. What’s even more critical is the shift in cost structure. With traditional solutions, the cost of complex computations scales linearly with the network size—every validator has to bear the full computational load. Brevis changes this to a fixed cost: no matter how many validators there are, the computation only needs to be done once, and the marginal cost of proof verification is close to zero. That’s why they’re able to achieve a 99.6% real-time proof rate while cutting costs by 50%. @brevis_zk’s transition from 'ZK Power' to 'Brevis Verified' isn’t just a name change—it’s a qualitative leap from proof-of-concept to production readiness.