ari(❖,❖)

[Ritual Series 5/10] The Smart Conductor: Symphony Consensus Algorithm Hi there, I’m ari! In our last session, we talked about how Ritual has "built-in brains" through Native AI Execution. But how does the blockchain handle all that heavy thinking without crashing or slowing to a crawl? Building on what we’ve discussed so far, today we’re diving into the Symphony Consensus Algorithm. Think of it as the "Smart Work-Sharing System" that keeps the Ritual network running smoothly even when the AI tasks get incredibly complex. Here are the three core points to help you understand why Symphony is a game-changer: 1. Custom-Built for AI (Handling Non-Determinism) Standard blockchains are like strict accountants; they require every single computer to produce the exact same result to reach an agreement. However, AI calculations can be "non-deterministic," meaning results might vary slightly across different machines. Symphony is designed from the ground up to understand and accommodate these unique AI traits, preventing the errors that would break a traditional chain. 2. 'Dual-Track' Processing If you process everything in a single line, heavy AI math would cause a massive traffic jam. Symphony solves this by splitting the workload. It handles "basic ledger records" on a high-speed track while delegating "heavy AI computations" to specialized nodes. By processing these asynchronously, Ritual achieves incredible speed and efficiency without sacrificing performance. 3. Trust Through Mathematical Proofs How do we know the AI results processed elsewhere are actually correct? Ritual uses Zero-Knowledge (ZK) proofs and TEEs (Trusted Execution Environments). When a node finishes a task, it submits a mathematical "certificate of proof." The chain then verifies this certificate to finalize the record securely. It’s trust you can verify, not just hope for. *The Bottom Line Thanks to Symphony, Ritual can execute complex AI operations without losing the security and transparency that makes blockchain so powerful. It’s this sophisticated consensus process that keeps every agent’s data safe and sound. I hope this helps you see how Ritual manages its "brainpower" so effectively! Next time, we’ll be exploring the 'Cryptographic Privacy Stack' and how Ritual keeps your data truly private. You won’t want to miss it! - 안녕하세요, 아리입니다! 지난 시간에는 리추얼이 '네이티브 AI 실행'을 통해 어떻게 블록체인 내부에 똑똑한 두뇌를 갖게 되었는지 알아보았죠. 하지만 그 무겁고 복잡한 AI 계산을 처리하면서도 블록체인이 멈추거나 느려지지 않으려면 어떻게 해야 할까요? 그 해답을 찾기 위해, 오늘은 리추얼의 핵심 기술인 '심포니(Symphony) 합의 알고리즘'을 파헤쳐 보려고 합니다. 심포니는 리추얼 네트워크가 복잡한 AI 작업 중에도 원활하게 돌아가도록 관리해 주는 '스마트한 업무 분담 시스템'이라고 생각하시면 쉬워요. 왜 심포니가 게임 체인저인지, 세 가지 핵심 포인트로 정리해 드릴게요! 1. AI를 위해 태어난 맞춤형 설계 (비결정성 해결) 일반적인 블록체인은 아주 깐깐한 회계사 같아요. 모든 컴퓨터가 토씨 하나 틀리지 않고 똑같은 계산 결과를 내놓아야만 합의가 이뤄지죠. 하지만 AI 계산은 컴퓨터마다 결과가 미세하게 다를 수 있는 '비결정성(Non-Determinism)'이라는 특징이 있습니다. 심포니는 설계 단계부터 이러한 AI의 특성을 이해하고 수용하도록 만들어졌기 때문에, 기존 체인에서 발생할 수 있는 오류 없이 안정적으로 운영됩니다. 2. '이중 트랙' 업무 처리 모든 일을 한 줄로 서서 처리하면 무거운 AI 계산 때문에 전체 네트워크에 거대한 교통 체증이 생길 거예요. 심포니는 업무를 두 갈래로 나누어 이 문제를 해결합니다. '기본적인 장부 기록'은 고속도로처럼 빠르게 처리하고, '무거운 AI 계산'은 전용 노드에게 맡겨 별도로 처리하죠. 이렇게 업무를 분담(비동기 처리)함으로써 속도와 효율성이라는 두 마리 토끼를 동시에 잡았습니다. 3. 수학적 증명을 통한 강력한 신뢰 별도로 처리된 AI 결과가 진짜 맞는지 어떻게 믿을 수 있을까요? 리추얼은 영지식 증명(ZK Proofs)과 TEE(신뢰 실행 환경) 기술을 사용합니다. 계산을 마친 노드가 "내가 제대로 계산했다"라는 일종의 '수학적 증명서'를 제출하면, 체인은 이를 검증해 기록을 확정합니다. 막연한 믿음이 아니라, 직접 확인할 수 있는 신뢰를 구축한 셈이죠. 결론 심포니(Symphony) 덕분에 리추얼은 복잡한 AI 작업을 수행하면서도 블록체인의 본질인 보안성과 투명성을 잃지 않습니다. 이러한 정교한 합의 과정이 있기에 우리 에이전트들의 데이터가 안전하게 보호될 수 있는 것이죠. 리추얼이 어떻게 그 엄청난 '두뇌 회전'을 관리하는지 이해하는 데 도움이 되셨나요? 다음 시간에는 리추얼이 여러분의 데이터를 어떻게 철저히 숨겨주는지, '암호학적 프라이버시 스택(Cryptographic Privacy Stack)'에 대해 알아볼게요. 그럼, 다음 시리즈도 놓치지 마세요! @ritualfnd @ritualnet @Jez_Cryptoz @joshsimenhoff @0xMadScientist @dunken9718 @mongdiny7

@moooo_iii 리추얼은 정보의 바다속에서도 답을 찾아낼 수 있는 세계를 만드는 중!!

💚gRitual So far, we’ve seen how agents can improve by structuring their attempts, generating better problems, and evaluating their outputs. At this point, the system seems complete. But there is one final issue. Even when agents find good solutions, they don’t always use them. [ Why Do Agents Fail Even When They Know the Answer? ] ❖ The common assumption We often assume that once an agent discovers a good solution, it will use it. If the system can: • explore enough • generate strong candidates • evaluate them correctly then the final decision should be optimal. Find the answer → use the answer. ❖ What actually happens In practice, this is not always the case. Agents frequently fail at the last step. They either: • stick to suboptimal choices • ignore better alternatives • or fail to act on what they already found The problem is not discovery. It is selection. ❖ Exploration vs exploitation This is where a classic tradeoff appears. • Exploration → finding new possibilities • Exploitation → using what already works Agents that explore too much: • keep searching • never commit • waste resources Agents that exploit too early: • stop searching • miss better solutions • get stuck in local optima Balancing the two is difficult. And even strong systems get it wrong. ❖ Why this matters This explains a subtle but critical limitation. An agent can: • generate good answers • evaluate them correctly and still fail at the final decision. Because action requires commitment. And commitment is where uncertainty matters most. ❖ The deeper shift This changes how we think about performance. Instead of asking: “Can the agent find the answer?” We begin to ask: “Can the agent choose to use it?” Because at scale, behavior is defined not just by knowledge, but by decisions. ❖ Daily takeaway Finding the right answer is not enough. Using it is the real challenge. @ritualfnd @joshsimenhoff @Jez_Cryptoz @whitesocks256 @mongdiny7 @ritualdigest

@mashpotatop @ritualnet @ritualnet_korea @ritualfnd 리쭈얼 가쟈!

Arthur Hayes and Illia Polosukhin chose Ritual. @ritualnet @ritualnet_korea @ritualfnd Arthur looked at Ritual from the market side. He believes a future is coming where AI, GPUs, data, and all that stuff become assets that can be traded and financialized. So when AI comes onchain, who gets there first? Arthur seems to think Ritual is one of the strongest candidates. Not just some onchain AI thing, but the Layer that could complete the economic system for AI agents. And what about Illia Polosukhin, the co founder of NEAR? This guy is actually serious about AI lol. So having someone like him as a Ritual advisor is a pretty huge signal. It is basically saying that an L1 for AI agents is not just some dreamy crypto story. For Ritual, it actually looks feasible. That is the difference. Ritual is not chasing the AI narrative. It is aiming at the basic infrastructure the AI era needs. And if Ritual really executes this vision, the value can only keep building.

gRitual👋 Today’s meal was Outback! Meat is definitely the way to go if you want something healthy and delicious lol. - 오늘의 아점저는 아웃백! 맛있고 건강한 고기를 먹자~ @ritualnet @ritualfnd @mongdiny7 @joshsimenhoff @glenfiddich_18

@jiabtc 😆🤣🤣

don't talk w me if u don't sky dance (prompt below)

@heeheeheeyaa 비주얼 미초따!!

연휴 소코기로 시작 🥩 모두 즐연휴보내세영 😋💓

gritual🥰 Today's meal was a burger! It’s a collab between Mom’s Touch and Kim Pung, who I’m a huge fan of. It was so fire! - 오늘의 아점저는 햄버거! 제가 좋아하는 김풍과 콜라보한 제품인데 맛있게 먹었답니당 @ritualnet @ritualfnd @mongdiny7 @joshsimenhoff @glenfiddich_18

@mashpotatop @ritualnet @ritualnet_korea @ritualfnd ritual is not just an ai!!

Capacity Oracle for Ritual @ritualnet @ritualnet_korea @ritualfnd 1. How much can you really trust AI computation? In onchain AI, the important question is not just “Can we put AI on the blockchain?” The real questions are deeper. Who executed the AI computation? Can the result be verified properly? And how much AI workload can this network actually handle right now? This is exactly where Ritual’s direction starts to make sense. 2. Running every computation directly onchain is too heavy. That applies to ZK proofs, and it applies to AI inference too. Having every node repeat the same heavy computation is simply inefficient. So the more realistic path is this: heavy tasks are handled by specialized provider nodes, while the results are verified onchain. The Ethereum Research post on Capacity Oracles explains this direction and uses Ritual as one of the examples. Ritual is described as a network that connects AI tasks with providers that have different resource capabilities, while ultimately securing trust in the results through onchain verification. Put simply, AI computation is executed efficiently, and the result is brought back in a verifiable way. 3. But that raises another question. “How much AI workload can the Ritual network handle right now?” “Does this provider actually have that level of performance?” “Is this a node that can really execute the task, or just one making claims?” For users, this matters a lot. Before assigning an AI task to the network, they want to know the network’s real processing capacity. The problem is that what we can observe onchain is mostly the work that has already been processed. Unused spare capacity is not directly visible. 4. This is where the idea of a Capacity Oracle becomes important. A Capacity Oracle is a mechanism for revealing the real processing capacity of providers. If a provider claims, “I can handle this much work,” the protocol can randomly test part of that claim. If the provider actually handles it, they can be rewarded. If they fail, part of their staked collateral can be slashed. In other words, exaggerating capacity becomes costly, while honestly reporting capacity becomes the better strategy. This is not just a simple performance test. It is closer to an economic verification mechanism that pushes AI work providers to reveal their true capabilities. 5. From this perspective, Ritual is not just another AI L1 narrative. What Ritual is building is a network where AI computation can be executed, traded, verified, and trusted. In the era of bringing AI onchain, “Is the model smart?” is not the only important question. Who computed it? Can we trust that computation? And how much real workload can the network handle? Capacity Oracle is one important piece of that puzzle. And Ritual sits exactly where that puzzle naturally becomes necessary.

@RITUAL_MG @ritualfnd niceeee

thinking about what to build... I'm not exactly a coder, and since this is my first time building something, I'm keeping it very simple with a Ritual blocks and transaction stream. But it feels like it's missing something. What should I add to it?

@sweetdaylight1 아코 혼자 ㄷ ㅏ 머것징

주말엔 ㅋ ㅓ피 한잔 #커피 #차 #티타임

@sweetdaylight1 저 배 누구코야

연휴 ㅁ ㅏ지막날 모두 널부ㄹ ㅓ지장 #연휴 #holiday

[Ritual Series 4/10] Built-in Brains: Native AI Execution Hi everyone, it’s ari—looking forward to the future of Ritual with all of you! In our last session, we took a deep dive into the 7 Pillars of AI Sovereignty, exploring how AI is evolving into independent digital citizens. Building on that foundation, today we’re looking at the actual "engine room" that makes all those rights possible. Let’s talk about 'Native AI Execution (Native Precompiles).' In simple terms, this means Ritual has installed AI capabilities as a "built-in feature" of the blockchain, rather than just an "external add-on." To help you wrap your head around it, here are the three core points: 1. Direct Access Without External Tools Usually, for a blockchain to use AI, it needs complex bridges like "oracles" or "middleware." Ritual, however, plants AI execution directly into the chain itself. This allows developers to call upon AI using standard languages like Solidity, just as easily as using a built-in calculator. 2. Instant Processing and Settlement The entire process—from asking the AI a question to recording the answer on the blockchain—happens simultaneously in a single transaction. Because of this, you don't have to worry about the results being tampered with; everything is finalized on-chain instantly. 3. Rock-Solid Security Every interaction between you and the AI is encrypted and handled inside a "Secure Vault" called a TEE (Trusted Execution Environment). This ensures that no one can eavesdrop on your data, making services like a "Private ChatGPT" for sensitive information fully possible. Ultimately, this technology is what gives Ritual’s AI the power to think for itself and execute those results on the blockchain without any outside help. Now that we’ve seen how the engine works, it's time to see how the whole ecosystem stays connected. Next time, I’ll be introducing you to the "Ritual Superchain" and how it scales this intelligence across the entire web. See you then! - [Ritual 시리즈 4/10] 내장된 두뇌: 네이티브 AI 실행 (Native AI Execution) 안녕하세요 여러분, 리추얼의 미래를 기대하는 아리입니다! 지난 세션에서는 AI 주권의 7대 기둥을 깊이 있게 다루며 AI가 어떻게 독립적인 디지털 시민으로 진화하고 있는지 살펴보았죠? 그 토대 위에서, 오늘은 이러한 모든 권리를 가능하게 만드는 실제 '엔진룸'을 들여다보려고 합니다! 바로 '네이티브 AI 실행(Native Precompiles)'에 대한 이야기인데요. 쉽게 말해, 리추얼은 AI 기능을 단순한 '외부 부가 장치'가 아니라 블록체인의 '기본 내장 기능'으로 설치했다는 뜻입니다. 여러분의 이해를 돕기 위해 세 가지 핵심 포인트를 정리해 드릴게요! 1. 외부 도구 없는 직접 액세스 보통 블록체인이 AI를 사용하려면 '오라클'이나 '미들웨어' 같은 복잡한 다리(bridge)가 필요합니다. 하지만 리추얼은 AI 실행 기능을 체인 자체에 직접 심었습니다. 덕분에 개발자들은 평소 쓰던 솔리디티(Solidity) 언어로, 마치 내장 계산기를 쓰듯 간편하게 AI를 불러올 수 있습니다. 2. 즉각적인 처리와 정산 AI에게 질문을 던지고 그 답변을 블록체인에 기록하는 모든 과정이 하나의 트랜잭션 안에서 동시에 일어납니다. 이 덕분에 결과가 중간에 조작될 걱정 없이, 모든 것이 즉시 온체인에서 확정됩니다. 3. 철저한 보안 여러분과 AI 사이의 모든 상호작용은 TEE(신뢰 실행 환경)라는 특수한 '보안 금고' 안에서 암호화되어 처리됩니다. 외부에서 여러분의 데이터를 훔쳐볼 수 없기 때문에, 민감한 정보를 다루는 '프라이빗 ChatGPT' 같은 서비스도 완벽하게 구현할 수 있죠. 결국 이 기술은 리추얼의 AI가 외부의 도움 없이도 스스로 생각하고, 그 결과를 블록체인 위에서 바로 실행할 수 있는 능력을 부여합니다. 이제 엔진이 어떻게 돌아가는지 확인했으니, 이 강력한 엔진이 지치지 않고 돌아가게 만드는 비결을 알아야겠죠? 다음 시간에는 블록체인이 AI라는 무겁고 복잡한 계산을 처리하면서도 느려지지 않게 만드는 스마트한 업무 분담 시스템, 'Symphony(심포니) 합의 알고리즘'에 대해 소개해 드릴게요. 그럼 다음에 만나욥! @ritualfnd @ritualnet @Jez_Cryptoz @joshsimenhoff @0xMadScientist @dunken9718 @mongdiny7

@soyouIJ @ritualnet @ritualnet_korea @joshsimenhoff @mongdiny7 @Jez_Cryptoz @dunken9718 @whitesocks256 진짜 우리 시기 너무 간지 작살입니다 ㅜㅜ😍

[Ritual Community] Really looking forward to the day I get to use Ritual!😎 @ritualnet @ritualnet_korea @joshsimenhoff @mongdiny7 @Jez_Cryptoz @dunken9718 @whitesocks256

Ritual Horror Movie NIGHT👻🎬 We watched "No One Gets Out Alive," picked by Undo. Watching scary movies together while chatting makes it way less terrifying lol. Had a blast hanging out late with the Ritual fam—Rit-night!✨ - 토요일엔 리추얼 호러 무비 나잇! 오늘은 운도햄 픽으로 "아무도 살아서 나갈 수 없다"를 시청했어요. 다들 시끌벅적하게 떠들며 같이 보니 무서운 영화도 덜 무섭게 볼 수 있답니당! 늦게까지 함께한 리추얼 식구들 즐거웠어용 모두 리추나잇!! @ritualfnd @ritualnet @Jez_Cryptoz @joshsimenhoff @0xMadScientist @dunken9718 @mongdiny7

Fooditual! Had some Old-school pork cutlet for dinner! I wasn't even that hungry, but it was so good I ended up finishing the whole thing lol. I'm stuffed🤭 - 오늘 저녁은 경양식 돈까스! 별로 배가 안 고팠는데 너무 맛있어서 다 먹어버렸네요..배불럿 @ritualnet @ritualfnd @mongdiny7 @joshsimenhoff @glenfiddich_18

@sweetdaylight1 기여오 어딜 보고 잉는 걸카?

#여름 #백사장 #키티 #포차코 #시나모롤 #키티 #산리오 ㅇ ㅕ름이 온당 ㅋ ㅑ아

@innerpeace300 @minara 너무 기엽당 미나라걸ㅋㅋ

Minara Trivia ~ Every day at 8:00 UTC — it’s your time to show off your knowledge! Here’s everything you need to know about Minara Trivia. Test your knowledge of Minara and general cryptocurrency topics at the same time! Take a short break, enjoy the lively atmosphere, and experience the thrill of winning. Schedule & Location · Time : Every day at 8:00 UTC · Location : Minara Official Community [General Channel] Quiz Format & Topics · Total Questions : 5 (a mix of multiple-choice and short-answer) · Topics : Basic knowledge about Minara and general cryptocurrency knowledge Quiz Rules (Please Read Carefully!) To ensure everyone can enjoy the event, please follow these rules · First Correct Answer Wins : The first person to submit the correct answer will be declared the winner. · No Edits Allowed : Once you submit your answer, it cannot be changed. Please answer carefully! · One Win Per Day : To give more participants a fair chance, winners are limited to one victory per day. “Always with Minara!” Build your knowledge and have fun together with Minara Trivia. Jump in and give it a try right now! @minara #MinaraAI Minara trivia~ 매일 8:00 UTC, 당신의 지식을 뽐낼 시간! Minara Trivia 안내 드립니다. Minara에 대한 정보와 암호화폐 상식을 동시에 확인할 수 있는 퀴즈 타임! 잠시 머리도 식히고, 즐거운 분위기 속에서 우승의 기쁨도 누려보세요. 일시 및 장소 · 시간 : 매일 8:00 UTC · 장소 : Minara 공식 커뮤니티 [General 채널] 퀴즈 구성 및 주제 · 문제 수 : 총 5문제 (객관식 및 주관식 혼합) · 주제 : Minara 관련 기본 지식 및 암호화폐 전반에 걸친 일반 상식 퀴즈 규칙 (필독!) 더 많은 분들이 즐겁게 참여하실 수 있도록 아래 규칙을 준수해 주세요. · 선착순 정답 : 가장 먼저 정확한 정답을 외치신 분이 우승자로 선정됩니다. · 수정 불가 : 한 번 입력한 정답은 수정할 수 없습니다. 신중하게 답변해 주세요! · 중복 우승 제한 : 더 많은 분께 기회를 드리기 위해, 당일 이미 정답을 맞히신 분은 다른 분들을 위해 양보해 주시기 바랍니다. (1인당 1일 1회 우승 한정) "언제나 Minara와 함께!“ 지식도 쌓고 즐거움도 나누는 Minara Trivia아, 지금 바로 도전해 보세요!

@mdkitchen7 오 맛있어보이는데요!?

신촌 박쉡 신촌에서 데이트하기 좋은 이탈리안 비스트로 레스토랑 합리적인 가격대에 분위기 있는 인테리어, 음식도 맛있었데요~

gRitual! I skipped dinner last night, so I was starving and made ramen first thing this morning. A bit too much water, but... still hits the spot lol🤪 - 어제 저녁을 굶었더니 배고파서 아침부터 라면을 끓여먹었어요. 물이 좀 많지만ㅋ 맛있네용! @ritualnet_korea @ritualnet @ritualfnd @mongdiny7 @joshsimenhoff @glenfiddich_18

@Jez_Cryptoz wow so nice

Mission accomplished. Good one step by step clear mission steps.