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Computation based privacy So I was onchain, where data felt like glass balances, preferences, signals wide open. Then I met math that keeps secrets while it works With @zama_fhe, Fully Homomorphic Encryption lets contracts compute on encrypted inputs, no decryption, no leak. fhEVM acts like a fast pen for private ops, while Concrete and TFHE-rs make dev work feel familiar. Threshold MPC splits the key across trusted parties, removing single points of failure. ZK proofs add the royal seal, verifying results without revealing the why Hardware too: HPU on FPGA moves privacy from code to silicon, ready for real workloads. Performance gets tuned, composability stays intact, and privacy becomes programmable set rules for who sees what, end‑to‑end Use cases? Risk scoring without exposing wallets, AI inference on medical data that never leaves the veil, confidential analytics for smarter UX without surveillance. Quantum resistance baked in, future proof rails for builders and users Choose compute that respects your rights #ZamaCreatorProgram #FHE Pass it on

Study @cysic_xyz ComputeFi in practice ZK math + DePIN machines, trust anchored in hardware Open Prover Market: spin workers on GPUs/ASICs, contribute proofs, earn $CYS Validators keep correctness tight, secure consensus, earn $CYS + $CGT Network effects: more contributors → faster, cheaper, stronger proving Minimal Starter Pack 1) NVIDIA 3090/4090 or ASIC, recent drivers 2) Ubuntu 22.04 + Docker 3) Register worker on Cysic dashboard, link wallet 4) Tune batch size vs latency; watch correctness metrics Tips • Throughput matters, but accuracy pays • Monitor failed proofs and re-tune • Join Validator set if you prefer auditing over grinding compute This is the backbone for verifiable compute: math meets matter, proofs meet physics, compute flows like liquidity AMA for Mainnet Alpha: Thu Oct 9, 12:30 PM UTC I’ll be there asking about scaling, rewards curves, and validator incentives t.co/iEsW0FktjT ALL IN $CYS

BREAKING: Internet compute markets are forming in real time 7M+ proofs/day. 264K provers. 1.35M users on testnet Hardware in the loop, zero vaporware @cysic_xyz built a full-stack path: Proof-of-Compute to price work ASIC acceleration to crush latency EVM/Cosmos rails so tasks settle fast Two tokens $CYS to pay, stake, and earn for proving $CGT to steer governance and pick validators Clean incentive design when the network hits load If you build, point your circuits and benchmark cost per proof If you run nodes, spin GPUs and climb the leaderboard If you create, farm Yapper signal top 500 keep getting paid Catalysts on deck: C1 ASIC beta in Dec AMA on Oct 30 Digital Compute Cube Phase 2 in Nov Compute used to be rented Now it’s ownable, verifiable, and programmable #ComputeFi

two plays im tracking hard 1) @RaylsLabs banking grade rails for the $100T+ machine. CBDCs, tokenized bonds/real estate, cross border, regulated DeFi. permissioned EVM with private chains for confidentiality, then a clean bridge to public Ethereum when you want liquidity. compliance first, throughput heavy. $38M, real partners, real revenue 2) @antix_in AIGE digital twins for identity. NFT + soulbound stack, real time emotion synthesis, verified avatars that do the grind 24/7. creators and brands get a second self that scales. presale now, listing mid October money rails + identity rails, same endgame

Privacy season for builders stays on @zama_fhe just detailed how the Creator Program scores content, and it rewards signal over noise quality followers, real reach, quotes count more than likes, consistency gets up to +40% anti‑cheat: ER over 20% nukes your month, under 50k IMP with ER over 10% slashes score 70%, CPM capped at $30 per 1k views score = SF + IMP + engagement + QE + frequency; fake activity auto‑zero dev angle: fhEVM + Confidential Blockchain Protocol → compute on encrypted inputs with composability yuki’s tldr: ship 2+ posts in UTC, push quotes and solid threads, avoid farmed ER Which matters more for growth here, quotes or frequency? #ZamaCreatorProgram zama.ai

not prediction, learning in market time is right micro-structure alpha shows up when agents track liquidity and sentiment shifts, not after the candle closes live liquidity heatmaps + route suggestions would make this deadly for execution + order flow how does @EdgenTech protect edge during volatility spikes? $EDGM #marketstructure

Quick route I used to spin up an earning Agent this week on @wardenprotocol - Open Warden Studio → pick the Meme Sniper template - Wire data to Pyth, set execution on Osmosis, bridge via LayerZero - Add SPEx guards: max slippage, spend limit, allowlist - Dry-run, then deploy to the Global Agent Network - Flip on Chat-to-Earn so prompts funnel to your Agent - Governance note: voted on Prop #47, Studio fees for new builders dropped in ~18h Results: first 24h, 7 tasks completed, bridged profits home in one message, no copy-paste wallets, no tab hell If you can use Canva, you can do this today. Set your Agent, set your rules, let it work across chains #AI #Agents #Web3 $WARD

Study @cysic_xyz ComputeFi in practice ZK math + DePIN machines, trust anchored in hardware Open Prover Market: spin workers on GPUs/ASICs, contribute proofs, earn $CYS Validators keep correctness tight, secure consensus, earn $CYS + $CGT Network effects: more contributors → faster, cheaper, stronger proving Minimal Starter Pack 1) NVIDIA 3090/4090 or ASIC, recent drivers 2) Ubuntu 22.04 + Docker 3) Register worker on Cysic dashboard, link wallet 4) Tune batch size vs latency; watch correctness metrics Tips • Throughput matters, but accuracy pays • Monitor failed proofs and re-tune • Join Validator set if you prefer auditing over grinding compute This is the backbone for verifiable compute: math meets matter, proofs meet physics, compute flows like liquidity AMA for Mainnet Alpha: Thu Oct 9, 12:30 PM UTC I’ll be there asking about scaling, rewards curves, and validator incentives t.co/iEsW0FktjT ALL IN $CYS

Computation based privacy So I was onchain, where data felt like glass balances, preferences, signals wide open. Then I met math that keeps secrets while it works With @zama_fhe, Fully Homomorphic Encryption lets contracts compute on encrypted inputs, no decryption, no leak. fhEVM acts like a fast pen for private ops, while Concrete and TFHE-rs make dev work feel familiar. Threshold MPC splits the key across trusted parties, removing single points of failure. ZK proofs add the royal seal, verifying results without revealing the why Hardware too: HPU on FPGA moves privacy from code to silicon, ready for real workloads. Performance gets tuned, composability stays intact, and privacy becomes programmable set rules for who sees what, end‑to‑end Use cases? Risk scoring without exposing wallets, AI inference on medical data that never leaves the veil, confidential analytics for smarter UX without surveillance. Quantum resistance baked in, future proof rails for builders and users Choose compute that respects your rights #ZamaCreatorProgram #FHE Pass it on

BREAKING: Internet compute markets are forming in real time 7M+ proofs/day. 264K provers. 1.35M users on testnet Hardware in the loop, zero vaporware @cysic_xyz built a full-stack path: Proof-of-Compute to price work ASIC acceleration to crush latency EVM/Cosmos rails so tasks settle fast Two tokens $CYS to pay, stake, and earn for proving $CGT to steer governance and pick validators Clean incentive design when the network hits load If you build, point your circuits and benchmark cost per proof If you run nodes, spin GPUs and climb the leaderboard If you create, farm Yapper signal top 500 keep getting paid Catalysts on deck: C1 ASIC beta in Dec AMA on Oct 30 Digital Compute Cube Phase 2 in Nov Compute used to be rented Now it’s ownable, verifiable, and programmable #ComputeFi

two plays im tracking hard 1) @RaylsLabs banking grade rails for the $100T+ machine. CBDCs, tokenized bonds/real estate, cross border, regulated DeFi. permissioned EVM with private chains for confidentiality, then a clean bridge to public Ethereum when you want liquidity. compliance first, throughput heavy. $38M, real partners, real revenue 2) @antix_in AIGE digital twins for identity. NFT + soulbound stack, real time emotion synthesis, verified avatars that do the grind 24/7. creators and brands get a second self that scales. presale now, listing mid October money rails + identity rails, same endgame

Privacy season for builders stays on @zama_fhe just detailed how the Creator Program scores content, and it rewards signal over noise quality followers, real reach, quotes count more than likes, consistency gets up to +40% anti‑cheat: ER over 20% nukes your month, under 50k IMP with ER over 10% slashes score 70%, CPM capped at $30 per 1k views score = SF + IMP + engagement + QE + frequency; fake activity auto‑zero dev angle: fhEVM + Confidential Blockchain Protocol → compute on encrypted inputs with composability yuki’s tldr: ship 2+ posts in UTC, push quotes and solid threads, avoid farmed ER Which matters more for growth here, quotes or frequency? #ZamaCreatorProgram zama.ai

not prediction, learning in market time is right micro-structure alpha shows up when agents track liquidity and sentiment shifts, not after the candle closes live liquidity heatmaps + route suggestions would make this deadly for execution + order flow how does @EdgenTech protect edge during volatility spikes? $EDGM #marketstructure

Quick route I used to spin up an earning Agent this week on @wardenprotocol - Open Warden Studio → pick the Meme Sniper template - Wire data to Pyth, set execution on Osmosis, bridge via LayerZero - Add SPEx guards: max slippage, spend limit, allowlist - Dry-run, then deploy to the Global Agent Network - Flip on Chat-to-Earn so prompts funnel to your Agent - Governance note: voted on Prop #47, Studio fees for new builders dropped in ~18h Results: first 24h, 7 tasks completed, bridged profits home in one message, no copy-paste wallets, no tab hell If you can use Canva, you can do this today. Set your Agent, set your rules, let it work across chains #AI #Agents #Web3 $WARD