[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Twinkle ❈🦾 [@Twinkly_Starr](/creator/twitter/Twinkly_Starr) on x 1198 followers Created: 2025-07-21 10:04:36 UTC In most systems, you trust the machine to do the task. But in @cysic_xyz, the system doesn't trust any single machine. Because the system was built to question every result, even the correct ones. That’s the mindset behind how proving actually works on Cysic. There are two key roles behind that system: Provers and Verifiers. ❈ Provers generate the proof. Their job is to take input (a record of computation) and compress it into a cryptographic proof that confirms accuracy without revealing sensitive data. It’s a complex process that pushes beyond what general-purpose machines can handle efficiently. Which is why Cysic runs it on GPUs, FPGAs, and ASICs. ❈ Verifiers validate the output. They don’t redo the math They apply quick checks that confirm whether the proof is correct. Each task is reviewed by multiple verifiers, not just one. If one fails or misbehaves, the rest keep the system moving. That redundancy is how the protocol is designed to survive failure by default. Then, there’s no central scheduler. Coordination happens through autonomous agents and smart contracts. They select who proves, who verifies, and what happens if a task stalls, all without human oversight. So when a task runs, results are generated and checked quiite alright. But Cysic is more about keeping a distributed system accountable, even when individual parts fail. TLDR: Every task on Cysic feeds into a two-role system: provers generate proofs, verifiers check them. Behind the scenes, coordination is fully automated through agents and smart contracts, not centralized schedulers. That’s how Cysic makes zk systems fast, verifiable, and resilient.  XXX engagements  **Related Topics** [mindset](/topic/mindset) [Post Link](https://x.com/Twinkly_Starr/status/1947236257236418739)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Twinkle ❈🦾 @Twinkly_Starr on x 1198 followers
Created: 2025-07-21 10:04:36 UTC
In most systems, you trust the machine to do the task.
But in @cysic_xyz, the system doesn't trust any single machine.
Because the system was built to question every result, even the correct ones.
That’s the mindset behind how proving actually works on Cysic.
There are two key roles behind that system: Provers and Verifiers.
❈ Provers generate the proof.
Their job is to take input (a record of computation) and compress it into a cryptographic proof that confirms accuracy without revealing sensitive data.
It’s a complex process that pushes beyond what general-purpose machines can handle efficiently.
Which is why Cysic runs it on GPUs, FPGAs, and ASICs.
❈ Verifiers validate the output.
They don’t redo the math They apply quick checks that confirm whether the proof is correct.
Each task is reviewed by multiple verifiers, not just one.
If one fails or misbehaves, the rest keep the system moving.
That redundancy is how the protocol is designed to survive failure by default.
Then, there’s no central scheduler. Coordination happens through autonomous agents and smart contracts.
They select who proves, who verifies, and what happens if a task stalls, all without human oversight.
So when a task runs, results are generated and checked quiite alright.
But Cysic is more about keeping a distributed system accountable, even when individual parts fail.
TLDR: Every task on Cysic feeds into a two-role system: provers generate proofs, verifiers check them.
Behind the scenes, coordination is fully automated through agents and smart contracts, not centralized schedulers.
That’s how Cysic makes zk systems fast, verifiable, and resilient.
XXX engagements
Related Topics mindset