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Trust layer is everything OG The alchemy is real here @idOS_network porting selfhood @wallchain_xyz quantifying the noise This isn't renting access anymore Epoch 1 snapshot coming soon tho stacking both for the win

GM @SentientAGI @cysic_xyz Open grids scaling trust while sealed labs chase control ROMA + GRID live on github feels like watching the Linux of AGI boot in real time multi‑agent > brittle one‑shots $85m raise with @PanteraCapital just the start #SentientChat

ALPHA privacy that computes is the meta I’m rotating into, and @zama_fhe is the stack I’m betting my builder hours on fhEVM lets Solidity run over ciphertext, coprocessors crank parallel ops for speed, and threshold decryption plus a distributed KMS keeps keys sharded and access verifiable. You get private execution, clean UX, and real compliance rails without exposing data Why it matters • Compute on encrypted inputs, get encrypted outputs • Keep logic onchain while data stays unreadable • Plug into any L1/L2, no silo chain • Onchain IDs + verifiable creds with zero data leakage Dev starter pack 1) Pull Concrete + TFHE-rs + FHENIX 2) Deploy a sample fhEVM contract with FHE ops 3) Simulate threshold decrypt flows end to end 4) Add private inference with Concrete ML Track gZama, join #ZamaCreatorProgram, go earn the OG SBT by building and teaching. Early contributors get remembered when encrypted apps go mainstream

ve(3,3) flywheel finally hits scale on Sui @MMTFinance threading volume, bridges, and yield into one loop $MMT $SUI been watching TVL ramp while others fade, now that 100% unlock at TGE window opens on @buidlpad this could mark the before/after moment for Sui liquidity

FHE không còn là lý thuyết nữa, @zama_fhe đang biến nó thành hạ tầng mặc định cho blockchain và AI Quyền riêng tư onchain mở ra cả mảng ứng dụng “nhạy” mà trước đây phải bỏ qua Ai muốn build dApp hay thử sức với $ZAMA giai đoạn testnet thì đây là lúc vào sớm nhất #ZamaCreatorProgram

They sold you on transparency. They sold you on composability. They sold you on open books. But look closer at the architecture of everything running right now. It’s a house of glass where every ledger entry is a headline waiting to happen. We built the blockchain to be unstoppable. We forgot to build it to be secret. That’s where @zama_fhe steps in with FHE. Before Zama: Computation always meant visibility Privacy was a Layer 2 bolt-on or a heavy zk tax DeFi risk was exposed every time you staked or swapped After Zama: Computation happens on ciphertext Your strategies your $USX deposits, your private swaps are opaque even to the validators The L1 becomes a universal computation substrate, not just a public ledger They want to build private apps on old rails. That’s slow, expensive, and still leaks intent through execution traces. Zama is building the actual rails for encrypted reality. The whole vision for confidential computation is baked into the core math, scaling from 20 TPS now to 10,000+ with ASICs. Stop building secure apps on leaky infrastructure. The roadmap isn't about incremental upgrades. It’s about making privacy the default setting for everything that runs on-chain, from RWA compliance to true confidential AI agents. This isn't a feature update. It’s the necessary refactor of Web3’s core assumption: that visibility equals trust. Trust comes from impossibility of inspection. That’s FHE. The future of computation is locked down and Zama holds the only universal key

question: how do you design tokenomics for privacy when the best work is invisible? from my researcher lens, incentives that matter pay for compute, not clout. @zama_fhe already leans this way with €500k bounties, a serious monthly creator pool, and testnet rewards for real encrypted demos. good. but engagement bribes breed spam, and you can’t benchmark confidential progress with vanity dashboards thesis: route confidential fees on $ETH to FHE coprocessors. antithesis: farmable points rot quality. synthesis: stake to secure compute, govern upgrades, reward verifiable encrypted txs + audited libs. with Rand + Pascal steering and @IncoNetwork shipping fhEVM, would you stake to subsidize privacy you can’t see but can verify privacy-native economics wins

PRIVACY THAT ACTUALLY COMPUTES Most chains brag about speed; the data spills anyway. @zama_fhe flips the axis with FHEVM on Ethereum: smart contracts operate on encrypted inputs, results stay usable, raw data never surfaces. $57M raised, >$1B valuation, mainnet targeted Q4 2025 privacy moving from feature to foundation ➯ Compute on ciphertext with no key exposure ➯ FHEVM v0.9.0 delivers richer input handling + stronger proof hooks ➯ 100x perf gains; GPU acceleration aiming for hundreds TPS ➯ Confidential DeFi, private payments, DID + compliance-ready credentials Trending on GitHub with a burst of new stars signals real developer pull. Builders and creators, S3 #ZamaCreatorProgram is live cash + OG NFT for the top 1000. Don’t tack on privacy after launch; build on it now

Seeing ~855k shielded tx pre‑TGE was the tell for me. While CT hunts points, I’m tracking builders and users actually compounding value. As a dev, spinning a confidential counter on fhEVM felt normal: Solidity stayed familiar, encrypted types + the JS SDK handled the rest on $ETH, and the node never saw my inputs. That’s why @zama_fhe momentum matters: fees in $ZAMA for encrypted compute, burn vs rewards aligning operators, DPoS staking securing KMS/coprocessors, and a Creator community that already cleared 1M posts in Season 3. CoFHE packed at @EFDevcon, and Palermo’s World’s Fair is next. Jump in: zama.ai/programs #FHEVM #ZamaCreatorProgram Which side are you on for the next cycle loud airdrops or quiet compounding privacy rails?

what if every onchain kyc, credit score, and orderbook stayed encrypted end‑to‑end, still composable, and fully auditable on public rails tracking @zama_fhe because the data actually clears: 855k+ shielded tx pre‑TGE, 5k devs on fhEVM with 24.5k stars, testnet ~20 tps today with a 1k tps target on gpu and asics teased, $150m raised, devconnect buenos aires demos + a defiant pod this week use cases aren’t cosplay: private kyc for DeFi on $ETH, sealed‑bid auctions without leak, encrypted AI inference that never touches plaintext. want exposure before the crowd? $ZAMA on mainnet/TGE is slated for December, and #ZamaCreatorProgram S3 just opened with a bigger pool and 1k OG NFTs my call: confidentiality becomes the default narrative into year‑end and the bids follow it

Social mining that actually pays out real $RIVER > the diluted “engagement” stuff competitors push Hook in wallet Stake $satUSD Tweet with purpose Vote in Rising Star This isn’t chasing vanity metrics, it’s compounding yield + community weight in one motion #River4FUN

Wild stat: Season 3 of #ZamaCreatorProgram already cleared 1M+ posts while dangling 1,000 OG NFTs and a $56k pool Cause → bigger rewards bring more grinders; effect → tougher to stand out, but consistency multipliers tilt the board if you play the long game. I connected socials, posted daily, watched points drift with “smart followers” vs raw impressions engagement farming helps, burnout punishes Risk check: fhEVM is live but mainnet/TGE for $ZAMA still ahead, so you’re comping reputation over instant upside. Privacy math is heavy, coprocessors help, and most builders will sit on $ETH for now @zama_fhe is building a real community are you stacking signal or just chasing points

What makes a token economy actually work when privacy is the base layer? As a dev, I look at @zama_fhe through design and execution: Dr. Rand Hindi and Dr. Pascal Paillier are building a DPoS model where validators stake to run KMS/FHE coprocessors, fees accrue from confidential queries, and governance maps to real usage across encrypted rails The incentives are already visible: Season 3 Creator Program with a $56k pool and 1k OG NFTs, a public leaderboard rewarding consistency and substance, plus testnet credits and bounties work in, upside out On $ETH via fhEVM you get encrypted state, verifiable outputs, and programmable compliance for DeFi/RWA without leaking data Bold take: $ZAMA becomes the default privacy fee asset for compliant DeFi by 2026 Want in? Connect your socials, post with #ZamaCreatorProgram, tag @zama_fhe, and start shipping confidential dApps then be ready to stake when mainnet lands

Wild take: adoption jumps when onchain stays opaque where it matters Thesis: encrypted compute beats visible state for finance, identity, AI Antithesis: ZK-only privacy coins and MPC stacks trade composability or liveness Synthesis: @zama_fhe fhEVM runs confidential contracts on $ETH with public verifiability and dev-native UX Recent: Season 3 Creator pool at $56K and 1,000 OG NFTs live till Oct 31 #ZamaCreatorProgram @OpenZeppelin’s confidential ERC20 is in play, testnet steady ~20 TPS, roadmap aims 1,000+ Investor lens: I care about fee accrual $ZAMA gas for FHE ops, DPoS yields to coprocessor/KMS operators, potential fee burn Competitors ship rollups or privacy coins; Zama ships the layer privacy needed See you on the leaderboard, then mainnet

Testnet numbers look real for @zama_fhe 5K+ devs on fhEVM, v0.2.0 shipped, confidential contracts moving from demo to tx Before: public state, doxxed flows, MEV tax, fragile incentives After: encrypted state, threshold decryptions, composable privacy, verifiable outputs I’m mapping $ZAMA incentives pre‑TGE: usage‑driven fees, DPoS staking, validator rewards, creator yield via #ZamaCreatorProgram, ecosystem grants for builders. imo the alignment tightens when encrypted compute is the scarce resource Built on $ETH with @OpenZeppelin confidential ERC20 templates If fees are priced on private blockspace, who captures edge validators, relays, or apps? Takeaway: FHE pushes tokenomics toward real utility, rewarding throughput where users keep ownership and devs ship privacy by default

Bold call: by 2026, confidentiality becomes the field we move inside Before, every onchain action felt like shouting your playbook across glass. Whales paused. Funds hovered. You could feel the hesitation After, I wrote encrypted Solidity like it was regular Solidity, watched the coprocessors hum in parallel, the gateway route ciphertexts, KMS hold the keys with MPC calm. On $ETH today, reaching into $SOL next, the motion feels quiet, precise, usable Adoption isn’t noise. It’s weight. 10k testnet users. 50k txns. fhEVM bending GitHub to 24.5k stars. Mainnet + $ZAMA on the horizon, GPUs lifting tps, ASICs turning pace into presence @zama_fhe doesn’t promise privacy. It lets your behavior earn it, invisibly woven into the stack Before or after where do you stand? Write one encrypted function this week and tell me what changed #FHEVM

GM @SentientAGI @cysic_xyz Open grids scaling trust while sealed labs chase control ROMA + GRID live on github feels like watching the Linux of AGI boot in real time multi‑agent > brittle one‑shots $85m raise with @PanteraCapital just the start #SentientChat

ALPHA privacy that computes is the meta I’m rotating into, and @zama_fhe is the stack I’m betting my builder hours on fhEVM lets Solidity run over ciphertext, coprocessors crank parallel ops for speed, and threshold decryption plus a distributed KMS keeps keys sharded and access verifiable. You get private execution, clean UX, and real compliance rails without exposing data Why it matters • Compute on encrypted inputs, get encrypted outputs • Keep logic onchain while data stays unreadable • Plug into any L1/L2, no silo chain • Onchain IDs + verifiable creds with zero data leakage Dev starter pack 1) Pull Concrete + TFHE-rs + FHENIX 2) Deploy a sample fhEVM contract with FHE ops 3) Simulate threshold decrypt flows end to end 4) Add private inference with Concrete ML Track gZama, join #ZamaCreatorProgram, go earn the OG SBT by building and teaching. Early contributors get remembered when encrypted apps go mainstream

Trust layer is everything OG The alchemy is real here @idOS_network porting selfhood @wallchain_xyz quantifying the noise This isn't renting access anymore Epoch 1 snapshot coming soon tho stacking both for the win

ve(3,3) flywheel finally hits scale on Sui @MMTFinance threading volume, bridges, and yield into one loop $MMT $SUI been watching TVL ramp while others fade, now that 100% unlock at TGE window opens on @buidlpad this could mark the before/after moment for Sui liquidity

They sold you on transparency. They sold you on composability. They sold you on open books. But look closer at the architecture of everything running right now. It’s a house of glass where every ledger entry is a headline waiting to happen. We built the blockchain to be unstoppable. We forgot to build it to be secret. That’s where @zama_fhe steps in with FHE. Before Zama: Computation always meant visibility Privacy was a Layer 2 bolt-on or a heavy zk tax DeFi risk was exposed every time you staked or swapped After Zama: Computation happens on ciphertext Your strategies your $USX deposits, your private swaps are opaque even to the validators The L1 becomes a universal computation substrate, not just a public ledger They want to build private apps on old rails. That’s slow, expensive, and still leaks intent through execution traces. Zama is building the actual rails for encrypted reality. The whole vision for confidential computation is baked into the core math, scaling from 20 TPS now to 10,000+ with ASICs. Stop building secure apps on leaky infrastructure. The roadmap isn't about incremental upgrades. It’s about making privacy the default setting for everything that runs on-chain, from RWA compliance to true confidential AI agents. This isn't a feature update. It’s the necessary refactor of Web3’s core assumption: that visibility equals trust. Trust comes from impossibility of inspection. That’s FHE. The future of computation is locked down and Zama holds the only universal key

FHE không còn là lý thuyết nữa, @zama_fhe đang biến nó thành hạ tầng mặc định cho blockchain và AI Quyền riêng tư onchain mở ra cả mảng ứng dụng “nhạy” mà trước đây phải bỏ qua Ai muốn build dApp hay thử sức với $ZAMA giai đoạn testnet thì đây là lúc vào sớm nhất #ZamaCreatorProgram

PRIVACY THAT ACTUALLY COMPUTES Most chains brag about speed; the data spills anyway. @zama_fhe flips the axis with FHEVM on Ethereum: smart contracts operate on encrypted inputs, results stay usable, raw data never surfaces. $57M raised, >$1B valuation, mainnet targeted Q4 2025 privacy moving from feature to foundation ➯ Compute on ciphertext with no key exposure ➯ FHEVM v0.9.0 delivers richer input handling + stronger proof hooks ➯ 100x perf gains; GPU acceleration aiming for hundreds TPS ➯ Confidential DeFi, private payments, DID + compliance-ready credentials Trending on GitHub with a burst of new stars signals real developer pull. Builders and creators, S3 #ZamaCreatorProgram is live cash + OG NFT for the top 1000. Don’t tack on privacy after launch; build on it now

Social mining that actually pays out real $RIVER > the diluted “engagement” stuff competitors push Hook in wallet Stake $satUSD Tweet with purpose Vote in Rising Star This isn’t chasing vanity metrics, it’s compounding yield + community weight in one motion #River4FUN

Seeing ~855k shielded tx pre‑TGE was the tell for me. While CT hunts points, I’m tracking builders and users actually compounding value. As a dev, spinning a confidential counter on fhEVM felt normal: Solidity stayed familiar, encrypted types + the JS SDK handled the rest on $ETH, and the node never saw my inputs. That’s why @zama_fhe momentum matters: fees in $ZAMA for encrypted compute, burn vs rewards aligning operators, DPoS staking securing KMS/coprocessors, and a Creator community that already cleared 1M posts in Season 3. CoFHE packed at @EFDevcon, and Palermo’s World’s Fair is next. Jump in: zama.ai/programs #FHEVM #ZamaCreatorProgram Which side are you on for the next cycle loud airdrops or quiet compounding privacy rails?

what if every onchain kyc, credit score, and orderbook stayed encrypted end‑to‑end, still composable, and fully auditable on public rails tracking @zama_fhe because the data actually clears: 855k+ shielded tx pre‑TGE, 5k devs on fhEVM with 24.5k stars, testnet ~20 tps today with a 1k tps target on gpu and asics teased, $150m raised, devconnect buenos aires demos + a defiant pod this week use cases aren’t cosplay: private kyc for DeFi on $ETH, sealed‑bid auctions without leak, encrypted AI inference that never touches plaintext. want exposure before the crowd? $ZAMA on mainnet/TGE is slated for December, and #ZamaCreatorProgram S3 just opened with a bigger pool and 1k OG NFTs my call: confidentiality becomes the default narrative into year‑end and the bids follow it

question: how do you design tokenomics for privacy when the best work is invisible? from my researcher lens, incentives that matter pay for compute, not clout. @zama_fhe already leans this way with €500k bounties, a serious monthly creator pool, and testnet rewards for real encrypted demos. good. but engagement bribes breed spam, and you can’t benchmark confidential progress with vanity dashboards thesis: route confidential fees on $ETH to FHE coprocessors. antithesis: farmable points rot quality. synthesis: stake to secure compute, govern upgrades, reward verifiable encrypted txs + audited libs. with Rand + Pascal steering and @IncoNetwork shipping fhEVM, would you stake to subsidize privacy you can’t see but can verify privacy-native economics wins

FHE is the math that lets the internet stop shouting its secrets. We’ve been stuck in this paradigm where privacy meant obscurity. You hide the data, or you use hardware enclaves that require trust in the chip maker. @zama_fhe is rewriting the physics of computation itself. Fully Homomorphic Encryption means the math gets done while the data is still encrypted. Think about that. No decryption needed for processing. This is not a proof system like ZK. This is *computation*. If ZK proves integrity of what happened, FHE enables *what can happen* privately. And this isn't some distant academic dream anymore. The fhEVM is live, letting devs write Solidity contracts that can handle secrets without ever seeing them. Confidential auctions. Private stablecoin transfers. Encrypted AI models running on chain. The entire ledger is transparent, but the *inputs* and *operations* are hidden behind mathematics only the protocol can compute. This is layer zero security for the next digital state. The MPC layer with its 13 nodes and 2/3 consensus? That’s the production hardness layer on top of the post-quantum math. Layered defense against everything. We’re moving from transparent trust to guaranteed trust. This is why the narrative shift from ZK to FHE is happening. ZK is excellent for validation. FHE is mandatory for utility in regulated spaces. If your dApp touches real-world value (RWAs, identity, finance) and can’t handle encrypted computation, it’s already obsolete. The next trillion dollars of onchain value won’t settle on a transparent chain. It needs the veil. And Zama built the loom. It’s silent defiance baked into the protocol. What specific use case do you think unlocks massive value first with true FHE computation on EVM chains #FHE #ZamaCreatorProgram

Encrypted compute too slow for real apps? Tried the @zama_fhe fhEVM and here’s the honest read from a user/dev seat Feels like Solidity with encrypted types, same tooling vibe, off-chain coprocessors doing the heavy lift while on-chain checks the math Speed? ~20 tps per chain today on testnet, not lightspeed, but consistent and verifiable UX? Private swaps, sealed bids, on-chain KYC on $ETH looked clean; wallet flow familiar, a few extra seconds, that’s it Trust model is MPC committees, no plaintext leakage, but liveness still matters Edge is composability and verifiability with privacy, no new chain; $SOL next So… too slow? For casino-grade spam, yeah. For finance that needs confidentiality, it felt ready enough right now #FHE

Wild stat: Season 3 of #ZamaCreatorProgram already cleared 1M+ posts while dangling 1,000 OG NFTs and a $56k pool Cause → bigger rewards bring more grinders; effect → tougher to stand out, but consistency multipliers tilt the board if you play the long game. I connected socials, posted daily, watched points drift with “smart followers” vs raw impressions engagement farming helps, burnout punishes Risk check: fhEVM is live but mainnet/TGE for $ZAMA still ahead, so you’re comping reputation over instant upside. Privacy math is heavy, coprocessors help, and most builders will sit on $ETH for now @zama_fhe is building a real community are you stacking signal or just chasing points

What makes a token economy actually work when privacy is the base layer? As a dev, I look at @zama_fhe through design and execution: Dr. Rand Hindi and Dr. Pascal Paillier are building a DPoS model where validators stake to run KMS/FHE coprocessors, fees accrue from confidential queries, and governance maps to real usage across encrypted rails The incentives are already visible: Season 3 Creator Program with a $56k pool and 1k OG NFTs, a public leaderboard rewarding consistency and substance, plus testnet credits and bounties work in, upside out On $ETH via fhEVM you get encrypted state, verifiable outputs, and programmable compliance for DeFi/RWA without leaking data Bold take: $ZAMA becomes the default privacy fee asset for compliant DeFi by 2026 Want in? Connect your socials, post with #ZamaCreatorProgram, tag @zama_fhe, and start shipping confidential dApps then be ready to stake when mainnet lands

Testnet numbers look real for @zama_fhe 5K+ devs on fhEVM, v0.2.0 shipped, confidential contracts moving from demo to tx Before: public state, doxxed flows, MEV tax, fragile incentives After: encrypted state, threshold decryptions, composable privacy, verifiable outputs I’m mapping $ZAMA incentives pre‑TGE: usage‑driven fees, DPoS staking, validator rewards, creator yield via #ZamaCreatorProgram, ecosystem grants for builders. imo the alignment tightens when encrypted compute is the scarce resource Built on $ETH with @OpenZeppelin confidential ERC20 templates If fees are priced on private blockspace, who captures edge validators, relays, or apps? Takeaway: FHE pushes tokenomics toward real utility, rewarding throughput where users keep ownership and devs ship privacy by default