Why do I value @cysic_xyz? Because it turns "computing power" into a verifiable, governable, and priced "liquid asset." This time, everyone's talking about AI and ZK, but few teams are truly turning "computing" itself into a market. Cysic's approach is bottom-up: chip (ZK ASIC) → cluster (GPU/CUDA) → network (Cosmos CDK + EVM) → market (task matching/multi-validation). The result: faster proofs, more stable finality, and discoverable prices. Cysic in three sentences: 1. Turning computing power into an asset: Rather than renting out a graphics card, every "verifiable computation" is transformed into a settleable output and cash flow. 2. Integrating hardware into the protocol: No longer relying solely on "software scheduling," chips/clusters become inherent capabilities of the network. 3. Aligning supply and demand: Multiple tasks, including ZK proofs, AI inference, mining/HPC, and more, are bid and settled in the same market. About the Token: $CYS is the "price meter" for fuel and production materials (fees, rewards, staking, and collateral). $CGT is the "steering wheel" (governance rights), obtained by staking $CYS and used to allocate computing pools and rules. Cysic believes that separating revenue rights (CYS) from governance rights (CGT) is intended to mitigate fluctuations across different cycles. By separating the "accelerator" and "steering wheel," the network's evolution is more stable. Why this track may be the next "basic market": Demand-side: Rollup/zkVM, cross-chain bridges, privacy applications, and AI reasoning have all proven to be constrained by cost and throughput. Supply-side: A single cloud provider or closed Prover-as-a-Service makes it difficult to achieve transparent pricing and fault resistance. Cysic uses PoC (Proof-of-Compute) to bring computational contributions into the consensus and scheduling layer, and then puts verification (cryptography/redundancy/consistency) front-end. We believe that when "latency/throughput/reliability" can be priced, the clearing price curve for computing power will be discovered, just like bandwidth/storage. The market will naturally stratify different latency levels (low latency is expensive, high latency is cheap), which is a sign of a healthy market. Implementation Observation Checklist (not a slogan, but a measurable KMI): The order depth and successful settlement rate of the task market (whether there is sustained real demand). End-to-end metrics: Single proof cost, P95/P99 latency, and retry rate. Governance: The staking scale and distribution of $CYS → $CGT, and whether computing pool allocation is decentralized. Hardware: The marginal efficiency (power consumption/throughput) of our proprietary ZK ASIC and GPU clusters, as well as the penetration rate of retail-grade computing power equipment. We believe that true compounding begins when "verifiable computing power" begins to be combined like "verifiable liquidity" (DeFi × ComputeFi). Final take: This isn't just another narrative; it's about abstracting computing from a "black box service" into "open, verifiable, and governable infrastructure." If this path works, next year we'll be discussing not just "transaction tokens," but "transaction latency, transaction throughput, and transaction credibility." DYOR / NFA. #ComputeFi #ZK #AI