Richman 长富 万盛

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Richman 长富 万盛

Richman 长富 万盛

@web3xcrypto8

📊web3讲述者|加密& DeFi 爱好者. 拆解趋势、技 术与代币经济学

Katılım Temmuz 2025
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Richman 长富 万盛
Richman 长富 万盛@web3xcrypto8·
The idea of a “world computer” has always been central to Web3. But every computer needs one critical component to function efficiently: Memory. Today, most blockchains still rely on outdated networking methods like gossip protocols broadcasting the same data repeatedly across nodes. This creates redundancy, network congestion, and massive state bloat. In other words, Web3 has compute… but it doesn’t yet have a true memory layer. That’s exactly what @get_optimum is building. Optimum introduces the first decentralized high performance memory layer for blockchains, designed to dramatically improve how data moves, updates, and is accessed across networks. At the core is Random Linear Network Coding (RLNC) a powerful data encoding method developed at Massachusetts Institute of Technology. Instead of broadcasting identical data to every node, RLNC allows networks to distribute encoded fragments that can be efficiently reconstructed reducing redundancy and increasing throughput. Optimum’s architecture includes: • OptimumP2P a smarter data propagation layer that replaces inefficient gossip networks • deRAM a decentralized RAM layer enabling fast, real-time read/write access to blockchain state The result: • faster block propagation • lower bandwidth costs • real-time data access for dApps • better performance for trading, gaming, AI, and social applications In short: If blockchains want to become true world computers, they need memory. And Optimum may be building the missing layer that makes scalable Web3 computing possible. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz
Richman 长富 万盛 tweet media
Richman 长富 万盛@web3xcrypto8

Most blockchains focus on execution and consensus. But one critical layer is often overlooked: Memory. That’s the problem @get_optimum is tackling. Optimum is building the first decentralized high performance memory layer for Web3 infrastructure designed to dramatically improve how blockchain data moves, stores, and propagates across networks. Instead of relying on inefficient gossip protocols and heavy node replication, Optimum uses Random Linear Network Coding (RLNC) a technology developed at MIT to encode and transmit blockchain data more efficiently. The result: • Faster block propagation • Lower bandwidth usage • Higher validator performance • Better scalability for L1 and L2 networks One of the project’s first products, OptimumP2P, acts like a memory bus for blockchains, helping networks move data faster and more reliably across nodes. And the ecosystem around Optimum is already gaining traction: • $11M seed round led by 1kx with participation from Animoca, Spartan, Robot Ventures and others • Partnerships with major validator operators such as Kiln, Everstake, and P2P.org While many projects focus on applications, Optimum is building core infrastructure. If blockchains are the world computer, then Optimum is building its missing memory layer. @

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Richman 长富 万盛
Richman 长富 万盛@web3xcrypto8·
Why Faster Data Propagation Is Solana’s Next Bottleneck (And Where Optimum Fits In) Solana is already fast. ~400ms block times, high throughput, and a network designed for scale. But speed isn’t just about producing blocks. It’s about how fast those blocks reach everyone else. And that’s where the real challenge begins. >>> The Hidden Problem: Propagation, Not Production <<< In a system where each slot lasts ~400ms, even a 100–200ms delay in propagation is significant. It means: → some validators receive data late → voting windows shrink → performance becomes uneven across the network So while Solana is fast at the top, not every node experiences that speed equally. >>> Turbine: Fast, But Not Perfect <<< Solana’s core propagation system, Turbine, is smart: •splits blocks into small “shreds” •distributes them through a multi layer tree •uses erasure coding for redundancy This allows high throughput without overwhelming bandwidth. But trade offs exist: → stake weighted routing → bigger validators get data first → UDP transport → fast, but can drop packets → multi hop structure → adds latency across regions Result: fast, but not always fair or consistent. >>> Workarounds Already Exist <<< Solutions like ShredStream show the demand for speed: •direct feeds from block producers •reduce latency by hundreds of milliseconds •used by traders and infra providers But they introduce a new trade-off: → faster access → but more reliance on centralized relays So the problem isn’t solved it’s just being worked around. >>> Scaling Pressure Is Coming <<< Tools like JetStreamer prove something important: → Solana can handle massive throughput (millions TPS in testing) But that creates a new bottleneck: Can the network actually deliver that data fast enough to everyone? Because if propagation can’t keep up: → smaller validators fall behind → decentralization weakens → performance becomes uneven >>> Where @get_optimum Comes In <<< This is where Optimum’s approach becomes interesting. Instead of fixed routing (like Turbine), they use RLNC (Random Linear Network Coding) in mump2p. The idea is simple, but powerful: → nodes don’t just forward data → they re-encode and mix it → any partial data can still help reconstruct the full block This changes propagation fundamentally: •no need to wait for full data before forwarding •higher tolerance to packet loss •less dependency on specific routes >>> Why RLNC Matters <<< Compared to traditional methods: → Turbine = structured, efficient, but rigid → RLNC = flexible, adaptive, and resilient In practice, this means: •faster global propagation •fewer bottlenecks •more equal data access across validators On Ethereum testnets, mump2p already showed: → ~150ms propagation → ~5–6x faster than traditional gossip If applied to Solana: it could reduce latency, improve fairness, and support higher throughput without centralization. >>> The Bigger Picture <<< Solana doesn’t have a throughput problem. It has a distribution problem at scale. As demand grows: → more data → faster blocks → more global participants The network needs a way to: move data faster, more reliably, and more fairly. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz
Richman 长富 万盛 tweet media
Richman 长富 万盛@web3xcrypto8

The Power of RLNC, Visualized. 🌐 Look at this side-by-side simulation: • Uncoded Gossip floods the network with exact duplicates → 344 wasteful copies. • Reed-Solomon improves things but still generates duplicate shards and non innovative mixtures. • RLNC (Random Linear Network Coding) wins decisively: far fewer duplicates, smarter recoding at every hop, and maximum innovative information delivered. This is exactly why @get_optimum exists. Optimum is the world’s first high performance decentralized memory layer for any blockchain. Powered by RLNC (pioneered at MIT), its mump2p protocol turns traditional gossip into an ultra efficient “Galois Gossip” system dramatically reducing latency, bandwidth waste, and packet loss while accelerating block & transaction propagation. The result? Faster networks, higher validator rewards, smoother dApps, and real scalability for L1s and L2s. Run the simulation yourself: gmum.cc/simulation/ The future of blockchain isn’t just faster consensus it’s smarter data movement. Welcome to the RLNC era. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz @ada_pegasus

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Richman 长富 万盛
Richman 长富 万盛@web3xcrypto8·
Quantum used to feel like something distant complex, inaccessible, almost theoretical. But @QuipNetwork is changing that. They’re not just building tech, they’re opening the door for everyone to understand and participate in the next wave of computing. Now they’re inviting creators to help tell that story with $100,000 in $QUIP rewards on the table. This isn’t just a campaign. It’s a chance to be early in shaping how the world sees quantum + Web3. 👉 quest.quip.network/airdrop?referr…
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Optimum
Optimum@get_optimum·
The Power of RLNC Visualized 🌐 To illustrate the speed and efficiency of different data propagation schemes we created a simulation comparing message delivery times across the same network. Run it yourself at: gmum.cc/simulation/
Optimum tweet media
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Richman 长富 万盛
Richman 长富 万盛@web3xcrypto8·
The Power of RLNC, Visualized. 🌐 Look at this side-by-side simulation: • Uncoded Gossip floods the network with exact duplicates → 344 wasteful copies. • Reed-Solomon improves things but still generates duplicate shards and non innovative mixtures. • RLNC (Random Linear Network Coding) wins decisively: far fewer duplicates, smarter recoding at every hop, and maximum innovative information delivered. This is exactly why @get_optimum exists. Optimum is the world’s first high performance decentralized memory layer for any blockchain. Powered by RLNC (pioneered at MIT), its mump2p protocol turns traditional gossip into an ultra efficient “Galois Gossip” system dramatically reducing latency, bandwidth waste, and packet loss while accelerating block & transaction propagation. The result? Faster networks, higher validator rewards, smoother dApps, and real scalability for L1s and L2s. Run the simulation yourself: gmum.cc/simulation/ The future of blockchain isn’t just faster consensus it’s smarter data movement. Welcome to the RLNC era. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz @ada_pegasus
Richman 长富 万盛 tweet media
Richman 长富 万盛@web3xcrypto8

Optimum mump2p: Why 6x Faster Latency Actually Matters Speed claims in crypto are easy. Proving them fairly is the hard part. That’s what @get_optimum did with mump2p on Ethereum Hoodi testnet showing ~150ms block propagation vs ~1s with traditional systems. But the real story isn’t just “6x faster.” It’s how they measured it. >>> Measuring Speed Without Bias Instead of comparing different conditions, Optimum used a dual path system: → the same block → same time → same network conditions was sent through: •standard Gossipsub •mump2p across 30 global nodes This removes cherry picking completely. Only the protocol changes nothing else. >>> The Result •mump2p: ~150ms average latency •Gossipsub: ~1 second baseline Even with cross continent delays, mump2p stays around 200–250ms spikes → still significantly faster → more stable under real-world conditions And importantly: 6x is a conservative number. >>> Why This Matters Faster propagation isn’t just technical. It directly impacts: → validators get more time to attest → higher inclusion rates → better performance during congestion In simple terms: faster data → better block quality → better chain performance >>> The Bigger Idea Most scaling solutions sacrifice decentralization. Optimum takes a different path: Using advanced data propagation (like RLNC), they make networks faster without reducing validator diversity. >>> Simple Takeaway mump2p isn’t just about speed. It’s about proving that: you can scale blockchain performance without compromising decentralization. And if that holds this becomes a core upgrade layer for the entire ecosystem. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz @ada_pegasus

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Richman 长富 万盛
Richman 长富 万盛@web3xcrypto8·
Optimum mump2p: Why 6x Faster Latency Actually Matters Speed claims in crypto are easy. Proving them fairly is the hard part. That’s what @get_optimum did with mump2p on Ethereum Hoodi testnet showing ~150ms block propagation vs ~1s with traditional systems. But the real story isn’t just “6x faster.” It’s how they measured it. >>> Measuring Speed Without Bias Instead of comparing different conditions, Optimum used a dual path system: → the same block → same time → same network conditions was sent through: •standard Gossipsub •mump2p across 30 global nodes This removes cherry picking completely. Only the protocol changes nothing else. >>> The Result •mump2p: ~150ms average latency •Gossipsub: ~1 second baseline Even with cross continent delays, mump2p stays around 200–250ms spikes → still significantly faster → more stable under real-world conditions And importantly: 6x is a conservative number. >>> Why This Matters Faster propagation isn’t just technical. It directly impacts: → validators get more time to attest → higher inclusion rates → better performance during congestion In simple terms: faster data → better block quality → better chain performance >>> The Bigger Idea Most scaling solutions sacrifice decentralization. Optimum takes a different path: Using advanced data propagation (like RLNC), they make networks faster without reducing validator diversity. >>> Simple Takeaway mump2p isn’t just about speed. It’s about proving that: you can scale blockchain performance without compromising decentralization. And if that holds this becomes a core upgrade layer for the entire ecosystem. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz @ada_pegasus
Richman 长富 万盛 tweet media
Richman 长富 万盛@web3xcrypto8

Decentralize to Scale: How @get_optimum Is Rewriting Blockchain Infrastructure For years, blockchain scaling has been framed as a tradeoff. You either choose decentralization secure, resilient, but slower… or scalability fast, efficient, but more centralized. From Ethereum to Solana, every major chain has navigated this balance differently. But the core limitation has remained the same: You can’t maximize both at least, not with traditional architecture. The Problem: A Structural Bottleneck At the heart of blockchain performance is data propagation. Before a transaction is confirmed, it must be shared across nodes in the network. Current systems (like gossip-based protocols) struggle as networks scale: → higher latency → bandwidth inefficiencies → bottlenecks in global distribution This is where the tradeoff begins. To go faster, networks often: • increase hardware requirements • reduce validator diversity • concentrate power Which ultimately weakens decentralization. >>> Optimum’s Approach: Flip the Tradeoff @get_optimum introduces a different thesis: Decentralization should not limit scale it should enable it. Instead of optimizing around constraints, Optimum redesigns how data moves across the network. The key lies in a concept called Random Linear Network Coding (RLNC). >>> RLNC: A Better Way to Move Data Traditional networks send data in fixed packets. If one piece is lost or delayed, the system slows down. RLNC changes this completely. It: • mixes data into encoded fragments • allows nodes to reconstruct data from any combination of pieces • enables parallel, flexible transmission This unlocks three critical advantages: → Lower latency (faster propagation globally) → Higher throughput (more data, less congestion) → Greater resilience (no single point of failure) In testing, Optimum’s P2P layer has shown 600%–3000% lower latency compared to traditional methods. >>> OptimumP2P: Infrastructure Layer Upgrade Built on RLNC, OptimumP2P acts as a drop in upgrade for blockchain networks. Key properties: • Works with existing validator setups (low hardware requirements) • Improves bandwidth efficiency • Scales better as more nodes join This creates a powerful flywheel: more nodes → better data diversity → faster propagation → stronger network Instead of decentralization slowing things down, it actually accelerates performance. >>> What This Enables 1. Network Level For ecosystems like Ethereum: • higher throughput • lower fees • preserved decentralization For high performance chains like Solana: • even lower latency • improved validator diversity • reduced centralization risks 2. Validator Level • more efficient resource usage • faster block propagation • improved rewards through better participation Notably, major validator operators are already exploring this direction a signal that infrastructure-level improvements are being taken seriously. 3. Application Level When latency and throughput are no longer constraints, new categories of applications become viable: • high frequency trading (CLOBs) • real time gaming • global payment systems • DePIN networks In short: better infrastructure → better applications 4. User Experience For end users, this translates to: • faster transactions • lower costs • consistent performance under load The kind of UX required for mass adoption. >>> A New Mental Model The traditional blockchain trilemma says: decentralization vs scalability vs security Optimum reframes this into a flywheel: • decentralization increases network participation • more participation improves data propagation • better propagation increases scalability Each layer reinforces the other. >>> Conclusion @get_optimum is not just optimizing blockchain performance. It is challenging a core assumption of the industry. That scaling must come at a cost. By rethinking data propagation through RLNC and building OptimumP2P, the project introduces a path where: speed, scale, and decentralization can coexist and even strengthen each other. If successful, this doesn’t just improve blockchains. It upgrades the foundation of the entire onchain digital economy. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz @ada_pegasus

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Richman 长富 万盛 retweetledi
Optimum
Optimum@get_optimum·
Gm @fundstrat, in case you didn't catch the @therollupco stream earlier: We would love to help the new world's largest staking operation enhance their validator performance and APYs 🤝
Bitmine (NYSE-BMNR) $ETH@BitMNR

MAVAN is live ‼️ We are open for business and will be the world’s largest single entity staking operation. PS: you can stake your ethereum and other crypto with us. $BMNR ⁦@fundstratprnewswire.com/news-releases/…

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Richman 长富 万盛
Richman 长富 万盛@web3xcrypto8·
Just finished this task on @axisrobotics and it hits different when you actually go through it. Placing a spoon on a bag of chips sounds simple, but behind it is trajectory control, precision, and coordination happening in real time. What I’m starting to realize is: you’re not just “playing” with a robotic arm you’re generating training data real world robotics models. Every small movement, every adjustment, adds to a larger dataset that helps robots learn how to interact with physical objects. The interface keeps getting smoother too multi camera views, better control logic it actually feels like you’re training something that will exist outside the simulation. And that’s the interesting part: this isn’t just a task. It’s a tiny contribution to how machines learn to operate in the real world. @plpiaoliang @Rainhoole @0xsexybanana @MPriosin71748 @0xzagen @chris_anm01
Richman 长富 万盛 tweet media
Richman 长富 万盛@web3xcrypto8

Robotics starts simple, but the stack behind it is anything but. @axisrobotics lays it out clean: first the body actuators, joints, end effectors. Then movement and interaction pose, trajectories, manipulation. But the real layer is hidden in the middle: training simulation, teleoperation, data collection. That’s where robots actually gain “experience.” And on top of that sits Embodied AI policies that learn from RL or imitation and turn perception into action in real time. When all layers connect, it’s no longer just a machine executing commands. It’s a system that can adapt, learn, and operate in the physical world. @plpiaoliang @Rainhoole @0xsexybanana @MPriosin71748 @0xzagen @chris_anm01

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Richman 长富 万盛 retweetledi
Optimum
Optimum@get_optimum·
Our first ever DeCo workshop is in the books! Thank you to all the amazing speakers who shared their work on decentralized coding and how it can be used enhance blockchains.
Optimum tweet mediaOptimum tweet mediaOptimum tweet mediaOptimum tweet media
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Richman 长富 万盛
Richman 长富 万盛@web3xcrypto8·
Decentralize to Scale: How @get_optimum Is Rewriting Blockchain Infrastructure For years, blockchain scaling has been framed as a tradeoff. You either choose decentralization secure, resilient, but slower… or scalability fast, efficient, but more centralized. From Ethereum to Solana, every major chain has navigated this balance differently. But the core limitation has remained the same: You can’t maximize both at least, not with traditional architecture. The Problem: A Structural Bottleneck At the heart of blockchain performance is data propagation. Before a transaction is confirmed, it must be shared across nodes in the network. Current systems (like gossip-based protocols) struggle as networks scale: → higher latency → bandwidth inefficiencies → bottlenecks in global distribution This is where the tradeoff begins. To go faster, networks often: • increase hardware requirements • reduce validator diversity • concentrate power Which ultimately weakens decentralization. >>> Optimum’s Approach: Flip the Tradeoff @get_optimum introduces a different thesis: Decentralization should not limit scale it should enable it. Instead of optimizing around constraints, Optimum redesigns how data moves across the network. The key lies in a concept called Random Linear Network Coding (RLNC). >>> RLNC: A Better Way to Move Data Traditional networks send data in fixed packets. If one piece is lost or delayed, the system slows down. RLNC changes this completely. It: • mixes data into encoded fragments • allows nodes to reconstruct data from any combination of pieces • enables parallel, flexible transmission This unlocks three critical advantages: → Lower latency (faster propagation globally) → Higher throughput (more data, less congestion) → Greater resilience (no single point of failure) In testing, Optimum’s P2P layer has shown 600%–3000% lower latency compared to traditional methods. >>> OptimumP2P: Infrastructure Layer Upgrade Built on RLNC, OptimumP2P acts as a drop in upgrade for blockchain networks. Key properties: • Works with existing validator setups (low hardware requirements) • Improves bandwidth efficiency • Scales better as more nodes join This creates a powerful flywheel: more nodes → better data diversity → faster propagation → stronger network Instead of decentralization slowing things down, it actually accelerates performance. >>> What This Enables 1. Network Level For ecosystems like Ethereum: • higher throughput • lower fees • preserved decentralization For high performance chains like Solana: • even lower latency • improved validator diversity • reduced centralization risks 2. Validator Level • more efficient resource usage • faster block propagation • improved rewards through better participation Notably, major validator operators are already exploring this direction a signal that infrastructure-level improvements are being taken seriously. 3. Application Level When latency and throughput are no longer constraints, new categories of applications become viable: • high frequency trading (CLOBs) • real time gaming • global payment systems • DePIN networks In short: better infrastructure → better applications 4. User Experience For end users, this translates to: • faster transactions • lower costs • consistent performance under load The kind of UX required for mass adoption. >>> A New Mental Model The traditional blockchain trilemma says: decentralization vs scalability vs security Optimum reframes this into a flywheel: • decentralization increases network participation • more participation improves data propagation • better propagation increases scalability Each layer reinforces the other. >>> Conclusion @get_optimum is not just optimizing blockchain performance. It is challenging a core assumption of the industry. That scaling must come at a cost. By rethinking data propagation through RLNC and building OptimumP2P, the project introduces a path where: speed, scale, and decentralization can coexist and even strengthen each other. If successful, this doesn’t just improve blockchains. It upgrades the foundation of the entire onchain digital economy. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz @ada_pegasus
Richman 长富 万盛 tweet media
Richman 长富 万盛@web3xcrypto8

AI agents are getting smarter but the infrastructure they rely on isn’t keeping up. Right now, we’re moving from simple LLM tools → autonomous agents that can: → monitor validators → diagnose issues → fix nodes 24/7 without human input That’s a big shift. But here’s the catch: these agents are only as effective as the network they operate on. >>> Where @get_optimum fits in In their latest discussion with @Obol_Collective, the focus isn’t just AI it’s about making blockchains ready for AI-native operations. Because once agents can: → run nodes → manage capital → execute transactions you’re no longer optimizing for humans. You’re optimizing for machines interacting with machines. >>> Why this changes everything An AI agent managing a validator isn’t waiting around. It needs: → low latency → fast data propagation → reliable coordination across nodes This ties directly into what Optimum is building with its high speed propagation layer. Faster networks don’t just improve UX they enable real time autonomous systems to function properly. >>> The bigger picture Tools like OpenClaw and standards like X402 hint at what’s coming: → agents with wallets → agents running infrastructure → agents transacting onchain At that point, blockchain becomes less of a user interface… and more of an execution layer for autonomous intelligence. >>> Takeaway We’re not just scaling for more users anymore. We’re scaling for a future where: AI agents are the primary operators and speed, reliability, and coordination become non negotiable. That’s the layer @get_optimum is quietly focusing on. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz @ada_pegasus

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Henry_1905
Henry_1905@Quang190503·
🧠 Optimum – The Missing Piece of Web3 While most blockchains are trying to scale: → TPS → Execution → Consensus One core problem remains unresolved: 👉 Data propagation & memory layer And that's why Optimum was born ⚡ 🚀 What is Optimum? Optimum is a high-performance decentralized memory infrastructure layer for all blockchains (L1 & L2). Objective: Accelerate data transmission Reduce network latency Improve user experience 👉 Simply put: Optimum = the “RAM” of the blockchain ⚡ The problem Optimum solves Current blockchains face bottlenecks: ❌ Slow data transmission between nodes ❌ Bandwidth congestion ❌ Inefficient storage ❌ Lack of real-time memory layer ➡️ This limits the true scalability of Web3 🔬 Core technology – RLNC Optimum uses: 👉 Random Linear Network Coding (RLNC) This technology has been used in: 5G IoT Satellite networks How it works: Data is encoded into multiple fragments Nodes can reconstruct even when data is missing Results: ⚡ Faster 📡 Optimized bandwidth (potentially many times more efficient) 🛡 Better Stability & Fault Tolerance 🔗 2 Core Products 1️⃣ OptimumP2P (mump2p) → High-speed data transmission layer → Helps blocks and transactions spread faster 2️⃣ DeRAM (Decentralized RAM) → Real-time memory for blockchain → Fast state access like Web2 👉 This is the “memory bus” for world computing 🌍 What does Optimum bring to the ecosystem? • Validators → faster data processing, increased rewards • L1/L2 → better scaling, reduced bandwidth • dApps → smoother operation (trading, games, AI…) • Users → faster and more real-time experience 💰 Funding & Team Raised ~$11M Seed (1kx, Spartan, Animoca,…) Founder: MIT Professor – Muriel Médard (father of RLNC) Team from MIT, Google, Meta, Harvard 👉 Extremely strong backing in both tech & VC 🔮 Big Vision If blockchain is the “world computer” Currently it is: ❌ Lacking RAM ❌ Data flow not yet optimized 👉 Optimum is building: Memory layer + Data propagation layer for Web3 💡 Conclusion Scaling blockchain is not just about faster processing… But That is: 👉 faster data transfer And Optimum is solving that problem exactly. @get_optimum @blockchainjeff @aqccapital @CryptoSundayz @ada_pegasus
Henry_1905 tweet media
Henry_1905@Quang190503

✨ I just found a really cool tool for the @get_optimum community and had to share it right away! 🔗 optimum-timeline.nhutnguyen.xyz 🧠 This is Optimum Journey Timeline – a tool that helps you create visual cards extremely easily to recount your journey: from discovery → contribution → impact ⚙️ Just go to the link, fill in the information, generate a timeline, and save it. It's lightweight but very meaningful, especially for those who want to look back or share their journey within the community. 💬 Everyone can try it out and give feedback so the tool can be improved! 🙏 Thank you for creating such an interesting and useful platform for the Optimum community – products like this really help people connect and inspire more 🚀 @blockchainjeff @aqccapital @CryptoSundayz @ada_pegasus

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Richman 长富 万盛
Richman 长富 万盛@web3xcrypto8·
AI agents are getting smarter but the infrastructure they rely on isn’t keeping up. Right now, we’re moving from simple LLM tools → autonomous agents that can: → monitor validators → diagnose issues → fix nodes 24/7 without human input That’s a big shift. But here’s the catch: these agents are only as effective as the network they operate on. >>> Where @get_optimum fits in In their latest discussion with @Obol_Collective, the focus isn’t just AI it’s about making blockchains ready for AI-native operations. Because once agents can: → run nodes → manage capital → execute transactions you’re no longer optimizing for humans. You’re optimizing for machines interacting with machines. >>> Why this changes everything An AI agent managing a validator isn’t waiting around. It needs: → low latency → fast data propagation → reliable coordination across nodes This ties directly into what Optimum is building with its high speed propagation layer. Faster networks don’t just improve UX they enable real time autonomous systems to function properly. >>> The bigger picture Tools like OpenClaw and standards like X402 hint at what’s coming: → agents with wallets → agents running infrastructure → agents transacting onchain At that point, blockchain becomes less of a user interface… and more of an execution layer for autonomous intelligence. >>> Takeaway We’re not just scaling for more users anymore. We’re scaling for a future where: AI agents are the primary operators and speed, reliability, and coordination become non negotiable. That’s the layer @get_optimum is quietly focusing on. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz @ada_pegasus
Richman 长富 万盛 tweet media
Richman 长富 万盛@web3xcrypto8

Speed is one of the most underrated bottlenecks in blockchain. Everyone talks about throughput, fees, UX… but all of that starts with one thing: how fast data moves across the network. That’s exactly where @get_optimum is focusing and the latest testnet results are hard to ignore. >>> What actually changed? On Ethereum’s Hoodi testnet, Optimum’s mump2p protocol is hitting: → ~150ms average block propagation → ~6.5x faster than Gossipsub (~1000ms baseline) That’s not a small improvement. That’s a different latency class entirely. >>> Why this matters (beyond just speed) Block propagation isn’t just a technical metric it directly shapes how the entire network behaves. When propagation drops from ~1s → ~150ms: → Validators receive blocks faster → fewer missed attestations → Slot times can shrink → faster confirmations → Bandwidth is used more efficiently → higher gas limits possible Which leads to what users actually feel: → lower congestion → more stable fees → smoother apps >>> The deeper implication Most scaling conversations focus on rollups or execution layers. Optimum is working below that at the data propagation layer. And that’s important because: If the base layer can move data faster, everything built on top inherits that advantage. >>> Why this approach stands out What’s interesting isn’t just peak speed it’s consistency under load. From their tests: → latency stays ~130–170ms even across global nodes → performance doesn’t degrade heavily during congestion That’s the kind of reliability you need for real world scaling not just benchmarks. >>> Big picture Ethereum doesn’t just need more blockspace. It needs faster coordination between validators. Optimum’s approach suggests: → scaling isn’t only about “more” → it’s also about moving what already exists, better If these results hold and extend to mainnet level conditions, this isn’t just an optimization. It’s a foundational upgrade to how fast Ethereum can think and respond. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz @ada_pegasus

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CS
CS@CallMeCSZ·
The Evolution of Blockchain Infrastructure Blockchain infrastructure hasn’t evolved all at once it has evolved layer by layer. In the early days, the focus was on execution. Smart contracts, virtual machines, and transaction processing defined what blockchains could do. Then came consensus, solving the problem of how decentralized systems agree on a shared state. As the space matured, attention shifted toward data availability and storage, ensuring that data could be accessed, verified, and persisted at scale. But as blockchains continue to grow, it’s becoming clear that this stack is still incomplete. Because beyond execution, consensus, and storage, there is a more fundamental challenge that has been largely overlooked: how data actually moves across the network. Every transaction, every block, every state update must be propagated across thousands of nodes. And as networks scale, this process becomes increasingly complex. The bottleneck is no longer just computation it’s latency, bandwidth, and coordination. A blockchain might be able to process transactions quickly, but if the data cannot be distributed efficiently, the system still struggles to scale. This is why the next phase of blockchain infrastructure is starting to move deeper into the stack toward memory and data propagation. And this is where @get_optimum fits in. Instead of focusing only on execution or storage, Optimum is exploring how to improve the way data is stored, accessed, and transmitted in real time through decentralized memory and more efficient data propagation. The goal is not just to make data available, but to make it move faster and more efficiently across large-scale networks. Because in the end, scaling blockchain isn’t just about processing more transactions. It’s about building systems where data can flow seamlessly across a decentralized world. @aqccapital @blockchainjeff
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Richman 长富 万盛
Richman 长富 万盛@web3xcrypto8·
Robotics starts simple, but the stack behind it is anything but. @axisrobotics lays it out clean: first the body actuators, joints, end effectors. Then movement and interaction pose, trajectories, manipulation. But the real layer is hidden in the middle: training simulation, teleoperation, data collection. That’s where robots actually gain “experience.” And on top of that sits Embodied AI policies that learn from RL or imitation and turn perception into action in real time. When all layers connect, it’s no longer just a machine executing commands. It’s a system that can adapt, learn, and operate in the physical world. @plpiaoliang @Rainhoole @0xsexybanana @MPriosin71748 @0xzagen @chris_anm01
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Richman 长富 万盛
Richman 长富 万盛@web3xcrypto8·
Speed is one of the most underrated bottlenecks in blockchain. Everyone talks about throughput, fees, UX… but all of that starts with one thing: how fast data moves across the network. That’s exactly where @get_optimum is focusing and the latest testnet results are hard to ignore. >>> What actually changed? On Ethereum’s Hoodi testnet, Optimum’s mump2p protocol is hitting: → ~150ms average block propagation → ~6.5x faster than Gossipsub (~1000ms baseline) That’s not a small improvement. That’s a different latency class entirely. >>> Why this matters (beyond just speed) Block propagation isn’t just a technical metric it directly shapes how the entire network behaves. When propagation drops from ~1s → ~150ms: → Validators receive blocks faster → fewer missed attestations → Slot times can shrink → faster confirmations → Bandwidth is used more efficiently → higher gas limits possible Which leads to what users actually feel: → lower congestion → more stable fees → smoother apps >>> The deeper implication Most scaling conversations focus on rollups or execution layers. Optimum is working below that at the data propagation layer. And that’s important because: If the base layer can move data faster, everything built on top inherits that advantage. >>> Why this approach stands out What’s interesting isn’t just peak speed it’s consistency under load. From their tests: → latency stays ~130–170ms even across global nodes → performance doesn’t degrade heavily during congestion That’s the kind of reliability you need for real world scaling not just benchmarks. >>> Big picture Ethereum doesn’t just need more blockspace. It needs faster coordination between validators. Optimum’s approach suggests: → scaling isn’t only about “more” → it’s also about moving what already exists, better If these results hold and extend to mainnet level conditions, this isn’t just an optimization. It’s a foundational upgrade to how fast Ethereum can think and respond. @aqccapital @tgogayi @cryptooflashh @f1nk1r @CryptoSundayz @ada_pegasus
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Richman 长富 万盛@web3xcrypto8

Deep dive from the latest @get_optimum community call 👇 What stands out isn’t just updates it’s how Optimum is tightening the system while building forward. First, the Latency Lords review. They’re actively filtering out fraudulent behavior before distributing rewards. That tells you one thing: performance based systems only work if trust is enforced. Otherwise, incentives get gamed and the whole model breaks. Second, Flexnodes. Still under the radar, but clearly a core piece. If Optimum is serious about optimizing data propagation and network efficiency, Flexnodes likely play a role in reducing latency and improving how information moves across the network which is a real bottleneck in current infra. Then comes community restructuring. No more new Real OGs, inactive ones being removed, and role systems being re-evaluated. This is a shift from quantity → quality. They’re not just growing a community they’re curating it. Even reward layers like Chronicler and Optimized are being delayed and reviewed. That suggests they’re being careful with distribution, not rushing emissions just to keep attention. My take: Optimum is moving from early hype phase → structured network phase. Less noise. More validation. More focus on real contributors. And in a market where most projects over-incentivize and dilute value… this kind of discipline is actually a strong signal.

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Richman 长富 万盛
Richman 长富 万盛@web3xcrypto8·
@pointsworks @artbrock34 ⠼⠚⠭⠉⠼⠃⠉⠑⠼⠉⠼⠛⠼⠓⠼⠙⠼⠉⠼⠙⠃⠠⠋⠼⠉⠼⠑⠼⠚⠼⠚⠑⠼⠑⠠⠉⠠⠋⠼⠓⠼⠊⠼⠙⠠⠋⠼⠛⠑⠠⠉⠼⠑⠼⠛⠠⠃⠑⠼⠋⠠⠉⠼⠓⠠⠁⠠⠁⠼⠁⠼⠙⠼⠋⠼⠋
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POINTS
POINTS@pointsworks·
POINTS ⠊⠎ ⠝⠕⠞ ⠚⠥⠎⠞ ⠁⠝ NFT ⠉⠕⠇⠇⠑⠉⠞⠊⠕⠝⠲ ⠠⠊⠞’⠎ ⠞⠓⠑ ⠃⠑⠛⠊⠝⠝⠊⠝⠛ ⠕⠋ ⠁ ⠝⠑⠺ ⠥⠝⠊⠧⠑⠗⠎⠑ ⠕⠋ POINTILISM⠲ ⠠⠊⠋ ⠽⠕⠥ ⠺⠁⠝⠞ ⠞⠕ ⠋⠕⠇⠇⠕⠺ ⠞⠓⠊⠎ ⠚⠕⠥⠗⠝⠑⠽ ⠋⠗⠕⠍ ⠞⠓⠑ ⠧⠑⠗⠽ ⠋⠊⠗⠎⠞ POINT — ⠕⠥⠗ WEBSITE ⠊⠎ ⠺⠓⠑⠗⠑ ⠊⠞ STARTS⠲ • pointsworks.art • ⠠⠏⠕⠊⠝⠞⠊⠇⠇⠊⠎⠍ ⠎⠓⠕⠺⠑⠙ ⠞⠓⠁⠞ ⠑⠝⠞⠊⠗⠑ ⠊⠍⠁⠛⠑⠎ ⠉⠁⠝ ⠑⠍⠑⠗⠛⠑ ⠋⠗⠕⠍ ⠉⠕⠥⠝⠞⠇⠑⠎⠎ ⠞⠊⠝⠽ ⠙⠕⠞⠎ ⠕⠋ ⠉⠕⠇⠕⠗⠲ ⠠⠑⠁⠉⠓ ⠏⠕⠊⠝⠞ ⠃⠽ ⠊⠞⠎⠑⠇⠋ ⠎⠑⠑⠍⠎ ⠊⠝⠎⠊⠛⠝⠊⠋⠊⠉⠁⠝⠞⠂ ⠽⠑⠞ ⠞⠕⠛⠑⠞⠓⠑⠗ ⠞⠓⠑⠽ ⠉⠗⠑⠁⠞⠑ ⠍⠑⠁⠝⠊⠝⠛⠂ ⠙⠑⠏⠞⠓⠂ ⠁⠝⠙ ⠋⠕⠗⠍⠲ ⠠⠏⠠⠕⠠⠊⠠⠝⠠⠞⠠⠎ ⠗⠑⠞⠥⠗⠝⠎ ⠞⠕ ⠞⠓⠁⠞ ⠕⠗⠊⠛⠊⠝ — ⠞⠕ ⠞⠓⠑ ⠎⠊⠝⠛⠇⠑ ⠍⠁⠗⠅ ⠋⠗⠕⠍ ⠺⠓⠊⠉⠓ ⠑⠧⠑⠗⠽ ⠉⠕⠍⠏⠕⠎⠊⠞⠊⠕⠝ ⠃⠑⠛⠊⠝⠎⠲ ⠠⠃⠑⠋⠕⠗⠑ ⠞⠓⠑ ⠏⠁⠊⠝⠞⠊⠝⠛⠂ ⠃⠑⠋⠕⠗⠑ ⠞⠓⠑ ⠊⠍⠁⠛⠑⠂ ⠞⠓⠑⠗⠑ ⠊⠎ ⠕⠝⠇⠽ ⠞⠓⠑ ⠏⠕⠊⠝⠞⠲ ⠠⠙⠗⠕⠏ your ⠺⠁⠇⠇⠑⠞⠎
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