Zero1 Labs (𝟘,𝟷)
@zero1_labs
Powering Decentralized AI with Cypher. Partnered with @nvidia Ignition AI Accelerator
AI depends on data. Blockchains depend on trust. To combine them, privacy has to be solved. Cypher is Zero1 Labs’ FHE–EVM chain, designed for AI and LLM applications. It performs computations directly on encrypted data, ensuring inputs stay private while results remain correct.…
NFTs made art verifiable. Cypher’s Mintable AI Agents will make intelligence verifiable. Each agent will carry its model hash (its identity), its encrypted weights (its mind), and its performance record (its reputation). With FHE, these agents can safely perform encrypted tasks…
Imagine an open market where you can collect, license, or upgrade AI agents — each with private intelligence but public performance. With FHE-encrypted computation, agents could participate in experiments, research tasks, or inference markets without exposing their underlying…
Privacy + research don’t usually mix. Cypher changes that with FHE field encryption built into the stack. Here’s what you can try right now on testnet 👇 With FHE (tfhe_wasm plug-in), Cypher supports: - Private computations - Secure research workflows - Privacy-preserving…
Cypher’s latest update: Optional FHE Field Encryption (tfhe_wasm plug-in). Compute directly on encrypted data — without ever decrypting it. Why it matters: - Sensitive research data (genomics, medical, AI logs) - Collaboration without leaks - Verifiable outputs while…
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