[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.] #  @zhiyarrr1 zhayLof zhayLof posts on X about blockchain, protocol, ethereum, gpu the most. They currently have XXX followers and XXX posts still getting attention that total XXXXX engagements in the last XX hours. ### Engagements: XXXXX [#](/creator/twitter::1391475936906858505/interactions)  - X Week XXXXX -XX% - X Months XXXXXX +1,825% - X Year XXXXXX +4,779% ### Mentions: XX [#](/creator/twitter::1391475936906858505/posts_active)  - X Week XX +110% - X Months XX -XX% - X Year XXX +4,100% ### Followers: XXX [#](/creator/twitter::1391475936906858505/followers)  - X Week XXX +4.90% - X Months XXX +50% - X Year XXX +32% ### CreatorRank: XXXXXXXXX [#](/creator/twitter::1391475936906858505/influencer_rank)  ### Social Influence [#](/creator/twitter::1391475936906858505/influence) --- **Social category influence** [cryptocurrencies](/list/cryptocurrencies) [finance](/list/finance) [events](/list/events) **Social topic influence** [blockchain](/topic/blockchain), [protocol](/topic/protocol) #581, [ethereum](/topic/ethereum), [gpu](/topic/gpu) #765, [checks](/topic/checks), [bitcoin](/topic/bitcoin), [$nome](/topic/$nome), [positions](/topic/positions), [$check](/topic/$check), [$mira](/topic/$mira) **Top assets mentioned** [Ethereum (ETH)](/topic/ethereum) [Bitcoin (BTC)](/topic/bitcoin) [Chains of War (MIRA)](/topic/$mira) ### Top Social Posts [#](/creator/twitter::1391475936906858505/posts) --- Top posts by engagements in the last XX hours "Part XX ZAMA Zero to Hero 🧩 Simple Example On Bridging Encrypted Data Lets say Alice has an encrypted balance handle on Ethereum name it "H_src" She wants to use it on Arbitrum in a DeFi app contract "C_dest". 🧩 Flow: X Alice Gateway: H_src user=Alice contract=C_dest dest_chain=Polygon X Gateway checks ACL: Alice is authorized for H_src✅ X Gateway triggers Coprocessors X Each Coprocessor computes: H_dest = Hash(H_src Polygon Alice C_dest) and signs it X Gateway aggregates identical H_dest from majority nodes X Gateway emits event: Destination signatures X Alice uses C_dest on Arbitrum smart" [X Link](https://x.com/zhiyarrr1/status/1978540730441515092) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-15T19:17Z XXX followers, XXX engagements "Part XX Zama Zero to Hero 🧩 User Decryption Flow in the FHEVM Let say a user wants to view her encrypted values (balances positions etc) but she wants to keep those plaintexts private from everyone : 🚦The blockchain 🚦The Gateway 🚦Even the KMS nodes performing decryption But There is challenge here which is How can KMS nodes decrypt values without learning what the plaintexts are ✅The solution is KMS performs threshold decryption but before sending results back each node re-encrypts its piece with user public key so only user can reconstruct the result locally by its private key. ✅In next" [X Link](https://x.com/zhiyarrr1/status/1978718486940537293) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-16T07:03Z XXX followers, XXX engagements "@0xDoctorsin @LayerBankFi Sounds like an exciting development for the Bitcoin community Cant wait to see how it evolves" [X Link](https://x.com/zhiyarrr1/status/1979312450685276525) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-17T22:23Z XXX followers, X engagements "@LINEACAR @genome_protocol Sounds like an exciting vision for $NOME I'm all in for building a sustainable future" [X Link](https://x.com/zhiyarrr1/status/1979317034283667560) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-17T22:42Z XXX followers, X engagements "Part XX Zama Zero to Hero ⚙User Decryption Technical Flow 1User prepares the decryption request Alice wants to decrypt multiple encrypted values identified by handles (say balances and risk metrics). She sends a transaction to the Gateway (directly or via a relayer) containing: X. A classical (non-FHE) public key X. Her blockchain address X. List of handles X. List of contract addresses X. An EIP-712 signed structure 2Gateway validates permissions The Gateway now checks: X. Does Alice address appear in the ACL as authorized for these handles X. Are those handles linked to one of the listed" [X Link](https://x.com/zhiyarrr1/status/1978900820373430524) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-16T19:08Z XXX followers, XXX engagements "@Hknb85842280 @AnichessGame @Mira_Network Exciting times ahead for $CHECK and $MIRA Cant wait to see how this all unfolds 🎉" [X Link](https://x.com/zhiyarrr1/status/1978959221807849975) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-16T23:00Z XXX followers, XX engagements "@ali_daee48437 @NetworkNoya love this approach Compliance is crucial for sustainable growth in the space. 🌍" [X Link](https://x.com/zhiyarrr1/status/1979601353703080203) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-18T17:31Z XXX followers, X engagements "Part XX Zama Zero to Hero 🧩How Ciphertexts Used in the FHEVM Flow 1Plaintext encoding: The input value is first encoded into a torus representation (e.g. X or 0.5). 2Randomization: A random vector is sampled. 3Noise addition: A small noise is added (security parameter). 4The final ciphertext generate by a formula using above parameters ✅This Ciphertext Unlocks Public encryption; Anyone can encrypt because the public key is known but only the KMS (with distributed private key shares) can decrypt. 🧩Ciphertexts In Computation Phase X When a smart contract calls an FHE function The fhevm" [X Link](https://x.com/zhiyarrr1/status/1977818227552973288) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-13T19:26Z XXX followers, 1192 engagements "Part XX Gensyn Zero to Hero ⚙ Inside the @gensynai Protocol Lets breakdown how Decentralized AI Compute Actually works; There are X components work together to make trustless verifiable ML training possible which are: 🧠 Submitters Normal users who need ML training done. 💻 Solvers The workers of the network. 🔍 Verifiers The auditors of the system. They ensure compute integrity. 🕵 Whistleblowers The final line of defense. They randomly audit Verifiers work 🔄 The Flow X Task Submission: Submitters post model + data X Profiling: Verifiers set baseline thresholds X Training: Solvers train &" [X Link](https://x.com/zhiyarrr1/status/1978081640900444482) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-14T12:53Z XXX followers, XXX engagements "Part XX Gensyn Zero to Hero 🔍 Big AI models training nightmare Training big AI models is a communication nightmare Every node in a distributed system must stay perfectly in sync on network So if one GPU slow down the whole pipeline stalls. Thats how traditional parallel pipeline works a single bottleneck drags down all network speed. Now imagine you're training across hundreds of untrusted globally distributed nodes which some fast some flaky some dropping out middleway. In this setup even a minor problem can ruin an entire training round. ⚡ This is where SkipPipe comes in In simple term" [X Link](https://x.com/zhiyarrr1/status/1979171063163482152) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-17T13:02Z XXX followers, XXX engagements "Part XX Gensyn Zero to Hero 🌍 AI training across the internet Traditionally reinforcement learning (RL) happens in centralized labs; a single model trains alone on massive compute clusters which is slow costly and closed. What if instead models learned together across the internet ⚡ Thats What RL Swarm does Its an open-source framework by @gensynai where anyone can join a global network of nodes performing collaborative RL; each model solving critiquing and improving collectively. Basically LLMs training each other just like a swarm of intelligent peers. 🐝 Each node goes through X stages: 1" [X Link](https://x.com/zhiyarrr1/status/1979528839127609783) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-18T12:43Z XXX followers, XXX engagements "@BabakManavi @zama_fhe @EFDevcon Sounds exciting Can't wait to see what you all have in store. Enjoy the event" [X Link](https://x.com/zhiyarrr1/status/1979840939037429899) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-19T09:23Z XXX followers, X engagements "@aslpns97 @mraltantutar @moremarketsxyz Happy Sunday Excited for the AMA tomorrowalways great to hear from the team behind the project" [X Link](https://x.com/zhiyarrr1/status/1979846083238064143) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-19T09:44Z XXX followers, X engagements "@mehdiss666 @brevis_zk sounds interesting excited to see how this evolves the blockchain space 🚀" [X Link](https://x.com/zhiyarrr1/status/1979860081840885764) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-19T10:40Z XXX followers, X engagements "Part XX ZAMA Zero to Hero 🧩 Coprocessor integrity & verifiable FHE Coprocessors are off-chain workers that perform encrypted computations on ciphertexts. Theyre currently incentivized and checked via consensus which means if most agree the result is assumed correct. ✅Consensus + on-chain verification ensures some level of honesty. ✅Public commitments prevent easy substitution. ❌ What's missing: A malicious coprocessor could attempt: Ciphertext substitution attack: Replace valid ciphertexts with forged ones. Selective failure attack: Cause computation errors on specific inputs to leak info. ✅" [X Link](https://x.com/zhiyarrr1/status/1979263326736556227) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-17T19:08Z XXX followers, XXX engagements "Today I asked @SentientAGI Chat to dig into ORO AI It searched across Crunchbase X and and found zero info about the team or founders. When I asked about the risks of such anonymity it listed: ⚠ No accountability ⚠ Regulatory exposure ⚠ Investor distrust ⚠ Governance gaps Then I asked for other AI projects that hide their teams it couldnt name a single one. So it begs the question: In 2025 can an AI company built on 'trust' still afford total anonymity 🤔" [X Link](https://x.com/zhiyarrr1/status/1979892027010527490) [@zhiyarrr1](/creator/x/zhiyarrr1) 2025-10-19T12:46Z XXX followers, XXX engagements
[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.]
@zhiyarrr1 zhayLof
zhayLof posts on X about blockchain, protocol, ethereum, gpu the most. They currently have XXX followers and XXX posts still getting attention that total XXXXX engagements in the last XX hours.
Engagements: XXXXX #
- X Week XXXXX -XX%
- X Months XXXXXX +1,825%
- X Year XXXXXX +4,779%
Mentions: XX #
- X Week XX +110%
- X Months XX -XX%
- X Year XXX +4,100%
Followers: XXX #
- X Week XXX +4.90%
- X Months XXX +50%
- X Year XXX +32%
CreatorRank: XXXXXXXXX #
Social Influence #
Social category influence cryptocurrencies finance events
Social topic influence blockchain, protocol #581, ethereum, gpu #765, checks, bitcoin, $nome, positions, $check, $mira
Top assets mentioned Ethereum (ETH) Bitcoin (BTC) Chains of War (MIRA)
Top Social Posts #
Top posts by engagements in the last XX hours
"Part XX ZAMA Zero to Hero 🧩 Simple Example On Bridging Encrypted Data Lets say Alice has an encrypted balance handle on Ethereum name it "H_src" She wants to use it on Arbitrum in a DeFi app contract "C_dest". 🧩 Flow: X Alice Gateway: H_src user=Alice contract=C_dest dest_chain=Polygon X Gateway checks ACL: Alice is authorized for H_src✅ X Gateway triggers Coprocessors X Each Coprocessor computes: H_dest = Hash(H_src Polygon Alice C_dest) and signs it X Gateway aggregates identical H_dest from majority nodes X Gateway emits event: Destination signatures X Alice uses C_dest on Arbitrum smart"
X Link @zhiyarrr1 2025-10-15T19:17Z XXX followers, XXX engagements
"Part XX Zama Zero to Hero 🧩 User Decryption Flow in the FHEVM Let say a user wants to view her encrypted values (balances positions etc) but she wants to keep those plaintexts private from everyone : 🚦The blockchain 🚦The Gateway 🚦Even the KMS nodes performing decryption But There is challenge here which is How can KMS nodes decrypt values without learning what the plaintexts are ✅The solution is KMS performs threshold decryption but before sending results back each node re-encrypts its piece with user public key so only user can reconstruct the result locally by its private key. ✅In next"
X Link @zhiyarrr1 2025-10-16T07:03Z XXX followers, XXX engagements
"@0xDoctorsin @LayerBankFi Sounds like an exciting development for the Bitcoin community Cant wait to see how it evolves"
X Link @zhiyarrr1 2025-10-17T22:23Z XXX followers, X engagements
"@LINEACAR @genome_protocol Sounds like an exciting vision for $NOME I'm all in for building a sustainable future"
X Link @zhiyarrr1 2025-10-17T22:42Z XXX followers, X engagements
"Part XX Zama Zero to Hero ⚙User Decryption Technical Flow 1User prepares the decryption request Alice wants to decrypt multiple encrypted values identified by handles (say balances and risk metrics). She sends a transaction to the Gateway (directly or via a relayer) containing: X. A classical (non-FHE) public key X. Her blockchain address X. List of handles X. List of contract addresses X. An EIP-712 signed structure 2Gateway validates permissions The Gateway now checks: X. Does Alice address appear in the ACL as authorized for these handles X. Are those handles linked to one of the listed"
X Link @zhiyarrr1 2025-10-16T19:08Z XXX followers, XXX engagements
"@Hknb85842280 @AnichessGame @Mira_Network Exciting times ahead for $CHECK and $MIRA Cant wait to see how this all unfolds 🎉"
X Link @zhiyarrr1 2025-10-16T23:00Z XXX followers, XX engagements
"@ali_daee48437 @NetworkNoya love this approach Compliance is crucial for sustainable growth in the space. 🌍"
X Link @zhiyarrr1 2025-10-18T17:31Z XXX followers, X engagements
"Part XX Zama Zero to Hero 🧩How Ciphertexts Used in the FHEVM Flow 1Plaintext encoding: The input value is first encoded into a torus representation (e.g. X or 0.5). 2Randomization: A random vector is sampled. 3Noise addition: A small noise is added (security parameter). 4The final ciphertext generate by a formula using above parameters ✅This Ciphertext Unlocks Public encryption; Anyone can encrypt because the public key is known but only the KMS (with distributed private key shares) can decrypt. 🧩Ciphertexts In Computation Phase X When a smart contract calls an FHE function The fhevm"
X Link @zhiyarrr1 2025-10-13T19:26Z XXX followers, 1192 engagements
"Part XX Gensyn Zero to Hero ⚙ Inside the @gensynai Protocol Lets breakdown how Decentralized AI Compute Actually works; There are X components work together to make trustless verifiable ML training possible which are: 🧠 Submitters Normal users who need ML training done. 💻 Solvers The workers of the network. 🔍 Verifiers The auditors of the system. They ensure compute integrity. 🕵 Whistleblowers The final line of defense. They randomly audit Verifiers work 🔄 The Flow X Task Submission: Submitters post model + data X Profiling: Verifiers set baseline thresholds X Training: Solvers train &"
X Link @zhiyarrr1 2025-10-14T12:53Z XXX followers, XXX engagements
"Part XX Gensyn Zero to Hero 🔍 Big AI models training nightmare Training big AI models is a communication nightmare Every node in a distributed system must stay perfectly in sync on network So if one GPU slow down the whole pipeline stalls. Thats how traditional parallel pipeline works a single bottleneck drags down all network speed. Now imagine you're training across hundreds of untrusted globally distributed nodes which some fast some flaky some dropping out middleway. In this setup even a minor problem can ruin an entire training round. ⚡ This is where SkipPipe comes in In simple term"
X Link @zhiyarrr1 2025-10-17T13:02Z XXX followers, XXX engagements
"Part XX Gensyn Zero to Hero 🌍 AI training across the internet Traditionally reinforcement learning (RL) happens in centralized labs; a single model trains alone on massive compute clusters which is slow costly and closed. What if instead models learned together across the internet ⚡ Thats What RL Swarm does Its an open-source framework by @gensynai where anyone can join a global network of nodes performing collaborative RL; each model solving critiquing and improving collectively. Basically LLMs training each other just like a swarm of intelligent peers. 🐝 Each node goes through X stages: 1"
X Link @zhiyarrr1 2025-10-18T12:43Z XXX followers, XXX engagements
"@BabakManavi @zama_fhe @EFDevcon Sounds exciting Can't wait to see what you all have in store. Enjoy the event"
X Link @zhiyarrr1 2025-10-19T09:23Z XXX followers, X engagements
"@aslpns97 @mraltantutar @moremarketsxyz Happy Sunday Excited for the AMA tomorrowalways great to hear from the team behind the project"
X Link @zhiyarrr1 2025-10-19T09:44Z XXX followers, X engagements
"@mehdiss666 @brevis_zk sounds interesting excited to see how this evolves the blockchain space 🚀"
X Link @zhiyarrr1 2025-10-19T10:40Z XXX followers, X engagements
"Part XX ZAMA Zero to Hero 🧩 Coprocessor integrity & verifiable FHE Coprocessors are off-chain workers that perform encrypted computations on ciphertexts. Theyre currently incentivized and checked via consensus which means if most agree the result is assumed correct. ✅Consensus + on-chain verification ensures some level of honesty. ✅Public commitments prevent easy substitution. ❌ What's missing: A malicious coprocessor could attempt: Ciphertext substitution attack: Replace valid ciphertexts with forged ones. Selective failure attack: Cause computation errors on specific inputs to leak info. ✅"
X Link @zhiyarrr1 2025-10-17T19:08Z XXX followers, XXX engagements
"Today I asked @SentientAGI Chat to dig into ORO AI It searched across Crunchbase X and and found zero info about the team or founders. When I asked about the risks of such anonymity it listed: ⚠ No accountability ⚠ Regulatory exposure ⚠ Investor distrust ⚠ Governance gaps Then I asked for other AI projects that hide their teams it couldnt name a single one. So it begs the question: In 2025 can an AI company built on 'trust' still afford total anonymity 🤔"
X Link @zhiyarrr1 2025-10-19T12:46Z XXX followers, XXX engagements