🎵💔 Seismic Guess The Song - Sad Love Song Edition! Get ready for a night of heartbreak, music, and friendly competition with the Seismic community! 🎶🥀 This week, we’re turning down the tempo with 15 emotional song clips. Listen carefully, type fast, and see if you can recognize the song before everyone else! 📍 Seismic Town Hall Stage 📅 Friday, September 25, 2026 — 21:00 GMT+7 🏆 Scoring System 🥇 1st correct answer -3 points 🥈 2nd correct answer - 2 points 🥉 3rd correct answer - 1 point The fastest fingers will take the lead ! ⚡ Just remember: answers must match the official song title exactly, and only answers submitted after the host says “Start” will count. 🎶 Come for the music. Stay for the competition. 💔 Let’s vibe through the heartbreak together! See you on stage! 🎤🔥 @SeismicSys @xealistt | @NoxxW3 | @heathcliff_eth

Turning Computation Into Value QMS rethinks what blockchain mining can do. Instead of using computation only to secure the network, Proof-of-Useful-Work (PoUW) turns that same computational power into solutions for real-world optimization problems. One computation. Two sources of value: → Block rewards → Client payments for useful solutions QMS starts with QUBO, enabling problems such as portfolio optimization, routing, scheduling and resource allocation. And it is built for the quantum era: Classical today. Quantum-ready tomorrow. With post-quantum security across block production and finality, plus Ethereum-compatible execution, QMS aims to connect blockchain security, useful computation and quantum hardware in one economic network. QMS - Secure the network. Solve real problems. Create useful computation. @QMSNetwork | @Jack18vXv #QMSWhitepaper

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An asset’s history should not disappear when it moves onchain. REAL is building infrastructure where risk profiles, compliance information, and validation records accompany tokenized assets, giving market participants more context to assess what they hold. Better information is part of better finance.

Rialo and Prediction Markets: Making Truth Programmable Prediction markets turn information into financial signals. But there is one critical problem: who decides what actually happened? A blockchain cannot directly observe election results, interest-rate decisions, sports outcomes, or real-world events. Prediction markets therefore depend on oracles to bring external facts onchain. The problem is that traditional oracle designs can reintroduce trust, governance risk, staleness, and economic attack surfaces. From Oracle Consensus to Verifiable Truth Rialo takes a different approach: make the source of truth explicit and programmable. Instead of relying on a quorum of reporters to agree on a value, a prediction market can define a resolution source directly in code - for example, a primary website or public data source relevant to the event. Real-world source → Programmable resolution logic → Onchain outcome The key idea is that the blockchain does not need to ask, “Which group of reporters should we trust?” It can ask: “Which source defines the truth, and what exact rule should determine the outcome?” Why This Matters Rialo’s approach brings several important properties to prediction markets: -> Direct sourcing - resolution can point to a specific primary source rather than relying on an aggregated median. -> Programmability - developers can define custom resolution logic directly in code. -> Auditability - the source and resolution policy can be inspected and independently verified. -> Less governance dependency - outcomes do not have to rely entirely on token-holder voting or reporter quorums. -> Independent resolution paths - different markets can reference different domain-specific sources. This changes the security model from trusting an intermediary to verifying an explicit resolution path. The Bigger Vision Prediction markets are ultimately truth markets. Their value depends not only on how accurately participants predict an event, but also on whether the final outcome can be resolved reliably. That is where Rialo’s architecture becomes interesting. Truth sourcing → Programmable → Auditable → Onchain Rather than treating truth as a governance problem that must always be solved by another layer, Rialo aims to make “truth sourcing” a programmable primitive for onchain applications. Prediction markets don't just need better predictions. They need a better way to verify reality. @RialoHQ

QMS: A Post-Quantum Architecture Across Three Layers Quantum computing is changing the security assumptions behind today's blockchains. For QMS, preparing for the quantum era is not about replacing the entire blockchain with one new cryptographic system. Instead, QMS takes a layered approach, giving each part of the network a specific role. The architecture is built around three key layers: Block Production → Finality → Execution Each layer follows a different strategy, combining post-quantum security, Ethereum compatibility, and a practical path toward future migration. Block Production: Post-Quantum by Design The first layer is Block Production. QMS uses Proof-of-Useful-Work (PoUW), which does not rely on public-key signatures for block production. Instead, the system relies on: -> Hash functions -> The computational cost of local search -> An unpredictable random seed This means there is no public-key signature system in block production that needs to be replaced when quantum computers become more powerful. No signature migration. No legacy dependency. QMS starts with a block-production mechanism designed around assumptions that are not directly affected by Shor's algorithm. Finality: Quantum-Safe From Launch The second layer is Finality - the mechanism that determines when blockchain history becomes final. QMS plans to use post-quantum signatures for finality from launch. Because the initial finalizer set is small and permissioned, implementing larger post-quantum signatures becomes a more contained engineering task. More importantly, finality operates alongside block production. This means the larger size of post-quantum signatures can primarily affect finality latency rather than slowing down the production of new blocks. Secure the history without slowing the chain. As the network matures, the finality layer can progressively open to a broader set of participants. Execution: Compatibility First, Migration Over Time The third layer is Execution. Here, QMS makes a deliberate trade-off: it keeps Ethereum's signature scheme initially. Why? Because compatibility matters. This allows QMS to support: -> Ethereum wallets -> Block explorers -> Developer tools -> Existing smart contracts Smart contracts can move to QMS without requiring code changes. Instead of forcing every account to migrate immediately, QMS plans for a gradual transition toward post-quantum signatures, account by account. Ethereum compatibility today. Post-quantum migration tomorrow. This approach allows QMS to maintain usability while preparing the execution layer for the quantum era. Freeze & Recover: A Plan for Legacy Accounts A major challenge is what happens to accounts that have not migrated when post-quantum security becomes necessary. QMS proposes a freeze-and-recover approach. Once the ecosystem supports post-quantum signatures: Unmigrated accounts → Freeze → Prove seed ownership → Recover The owner would use a post-quantum-secure zero-knowledge proof to demonstrate knowledge of the seed from which the original private key was derived. This gives QMS a potential recovery path for accounts that still depend on older signatures. The key idea is to solve the migration problem before quantum computers become an active threat, rather than waiting until the last moment. Why Acting Early Matters QMS has an important structural advantage: it starts with a relatively small account base and a limited number of derivation schemes. This makes it more practical to build recovery proofs for the common account types. Unusual or seedless accounts can be identified and encouraged to migrate early. This becomes much harder for a mature blockchain with millions of accounts, many derivation methods, and large numbers of raw or imported keys. The lesson is simple: Post-quantum migration is easier when the network prepares before it becomes urgent. Conclusion: Security by Layers QMS does not treat post-quantum security as a single upgrade. It approaches the problem layer by layer: Block Production → No public-key signatures → Post-Quantum by Design Finality → Post-quantum signatures from launch → Quantum-Safe History Execution → Ethereum compatibility → Gradual post-quantum migration → A Practical Path Forward Together, these layers create an architecture designed to balance security, compatibility, and long-term migration. QMS - Post-Quantum Where It Matters, Ethereum-Compatible Where It Helps, and Ready for the Quantum Era. @QMSNetwork | @Jack18vXv

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Who is accountable for the asset behind a token? REAL’s Business Validator model assigns duties for tokenization, risk scoring and insurance, backed by committed stake and penalties for failures. Our latest article explains how it works: medium.com/@RealFinOfficial/…

Seismic: Where Programmability Meets Privacy What happens when blockchain meets the real needs of modern finance? Transparency, speed, and programmability are powerful - but financial infrastructure also needs privacy. That’s where Seismic comes in. Seismic is building blockchain infrastructure for real-world finance, with a strong focus on stablecoins, payments, lending, fintech, neobanks, and cross-border financial applications. The idea is simple but powerful: Programmability without sacrificing privacy. Businesses could use stablecoins for global payments, manage virtual accounts, build financial products, or automate transactions - while sensitive financial information remains protected. This is more than another blockchain for moving crypto. It is a step toward financial infrastructure where onchain programmability meets real-world privacy requirements. Seismic: ✨Real-world finance ✨Onchain programmability ✨Privacy by design. @SeismicSys @xealistt | @NoxxW3 | @heathcliff_eth

PrismaX “Verify Quality”: The Validation Layer for Physical AI In AI and robotics, data quality is as important as model quality. A powerful model cannot reliably learn from inaccurate, inconsistent, or corrupted training data. For Physical AI, this becomes even more critical because data directly influences how robots perceive, decide, and act in the real world. This is where PrismaX’s “Verify Quality” layer becomes important. From Raw Data to Verified Data Robotics systems generate large amounts of real-world data through human operation and robot interactions. But raw data is not automatically useful for training. PrismaX introduces a validation stage: Data Collection → Verify Quality → AI Training → Robot Deployment The goal is to identify erroneous, inconsistent, or low-quality samples before they enter the training pipeline. A Distributed Validation Network “Verify Quality” uses a network of Data Quality Validators to inspect and evaluate collected data. Instead of depending on a single reviewer, multiple validators can provide additional verification signals. This creates a stronger quality-control layer for large-scale robotics datasets. The community therefore becomes part of the AI data pipeline, not simply a group of platform users. Why Validation Matters The core relationship is straightforward: Better Data → More Reliable Training → Better Models → More Reliable Robots For Physical AI, poor data can propagate directly into robot behavior. A model may learn quickly, but if its training data contains systematic errors, those errors can also be learned and reproduced. Verify Quality as Part of the Data Flywheel The validation layer can become an important component of PrismaX’s broader Data Flywheel: Human Operations ↓ Real-World Data ↓ Verify Quality ↓ AI Training ↓ Better Robot Performance ↓ More Real-World Data This creates a continuous quality-control loop rather than treating validation as a one-time inspection. For Physical AI, more data is not enough. Data must be: Accurate • Consistent • Verifiable • Reliable PrismaX’s “Verify Quality” approach focuses on adding this validation layer between data collection and AI training - helping transform raw robotic experiences into higher-quality, training-ready data for real-world AI systems. @PrismaXai | @MaxC16134 | @vivianrobotics

And that's why we built ORGN on confidential computing The point is not simply to promise privacy, but create an architecture where access is technically constrained We effectively built a vault around customer workloads, then made sure to lock everyone, and even ourselves, out Proud to be building this as part of the #NVIDIAInception program.

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Seismic: Privacy at the Execution Layer What if blockchain could stay programmable without making everything public That’s the direction Seismic is building toward. Instead of treating privacy as an extra layer, Seismic makes confidentiality part of the execution model. Smart contracts can work with sensitive data such as balances, transaction parameters, and private state without exposing that information to public observers onchain. Under the hood, Seismic combines Shielded Types, shielded storage, encrypted transactions, and TEE-based execution to protect data throughout the transaction lifecycle. And the key part for developers Seismic extends the familiar EVM + Solidity environment with support for both public and confidential state - without forcing builders to leave behind the tools and patterns they already know. -> Public when it needs to be. -> Private when it matters. -> Programmable by design. That’s the bigger vision: a blockchain where privacy isn’t an afterthought, but a native part of how applications execute. Seismic is not hiding the blockchain. It is giving blockchain a choice. @SeismicSys | @xealistt | @NoxxW3 | @heathcliff_eth

Something new is taking shape behind the scenes, and it will give our community a different way to explore, test, and engage with REAL. More will be revealed soon, but every meaningful action may matter more than you think. 🧱

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🎉 Rialo Community - Another Week, Another Milestone 💙 Another week, another group of community members making an impact across the Rialo ecosystem. 🚀 Members of the Week is more than a recognition - it celebrates those who consistently show up, keep learning, share ideas, and contribute to building a stronger community. Every discussion, idea, and contribution helps move Rialo forward. Behind a growing ecosystem are people who build, explore, support, and inspire one another. 🌍 🎉 Congratulations to @ThuyTrang108 from the Rialo Vietnam community for being recognized this week! Your dedication and contribution truly make a difference. Keep learning. Keep building. Keep contributing. Together, we make Rialo stronger. 💙🌍 @RialoHQ

🎤🤎 Another fantastic evening with the @SeismicsysVN community ! A huge thank you to @FinnNguyenMCI and all the singers who made this Karaoke night so exciting! 🎶✨ It was a fun, vibrant night filled with great songs, impressive performances, and positive energy from everyone. Each voice brought a unique touch to the stage, helping to create a truly memorable evening. This was more than just karaoke; it was a chance for the SeismicsysVN community to connect, unwind, share moments, and enjoy this journey together. 🤎 Thank you all for joining in and singing along with us! Sing together. Laugh together. Connect together.🎤🔥 See you at the next Karaoke session! 🤎✨ @SeismicSys | @xealistt | @NoxxW3 | @heathcliff_eth