Tendi

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Tendi

Tendi

@Tangvi27

🏰@IntractAmbassador

Katılım Ekim 2022
1.7K Takip Edilen877 Takipçiler
Tendi
Tendi@Tangvi27·
Rethinking MEV capture with faster network propagation. One of the key assumptions in Ethereum is that missed MEV opportunities simply roll over into the next slot. However, recent research from the Optimum team suggests the reality is more nuanced ⚙️ Research Insights - Not all unrealized MEV is recoverable - Some MEV opportunities are highly time sensitive and disappear once an early bid cutoff is reached - These lost opportunities can represent a significant amount of ETH, reducing overall blockspace efficiency 🌐 The role of network performance - The timing of bid propagation directly affects which block builders' bids are available before the proposer commits - Lower propagation latency allows validators to safely receive bids closer to the slot deadline - Extending the effective decision window increases the probability of selecting a higher value block rather than settling for an earlier, lower value bid 🚀 How Optimum improves the process - mump2p reduces propagation latency across Ethereum's networking layer - Faster and more predictable message delivery enables proposers to delay bid selection without increasing operational risk - More competitive bids can be considered before the deadline, improving MEV capture and overall blockspace market efficiency Optimum's research highlights that network latency is an economic variable, not just a networking metric. By improving how quickly and reliably information propagates through Ethereum, mump2p helps reduce unrealized MEV and enables the blockspace market to allocate value more efficiently. This demonstrates that optimizing the network layer can directly translate into better outcomes for validators and the Ethereum ecosystem as a whole @get_optimum
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Tendi@Tangvi27·
🔐 Proof-Carrying computation on Rialo Instead of having every validator re-execute computations, Rialo verifies cryptographic proofs to confirm execution correctness How it works: 🔹 Define the computation and expected public outputs 🔹 Execute the program offchain inside a ZK-VM 🔹 Generate a cryptographic proof of correct execution 🔹 Submit the proof and outputs to Rialo 🔹 Rialo verifies the proof 🔹 Once verified, the application settles the result onchain Why it matters? 🔹 Reduces redundant computation and improves scalability 🔹 Keeps private inputs confidential while proving correctness 🔹 Enables faster, more efficient onchain settlement 🔹 Opens the door to complex real world applications powered by verifiable computation Rialo is building a future where applications don’t need to trust execution they only need to trust the proof @RialoHQ
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Helen海倫 | 🐬TermMax | (✱,✱)
我覺得 Web3 裡最容易被解釋得很複雜的,就是「零知識證明」。 很多人一開口就是密碼學、演算法、證明系統,聽到最後反而更不知道它在做什麼。 其實可以把它想成一個很簡單的遊戲。 假設有一本答案本,你想證明自己真的知道答案。 一般做法是直接把答案給大家看。 但零知識證明不一樣。 它讓你證明「我知道答案」,卻不用把答案公開。 就像老師能確認你真的會寫這題,卻不用把你的整張考卷貼在教室。 對方得到的是「你真的知道」,而不是「答案本身」。 這也是為什麼它很重要。 很多時候,我們需要證明一件事是真的,而不是把所有資料都交出去。 越少曝光資料,隱私就越安全。 我覺得真正厲害的技術,不是把事情變得更難懂,而是把原本做不到的事情,用更簡單、更安全的方式完成。 這也是我喜歡 @RallyOnChain 的原因。好的產品不只是把 AI 和 Web3 放在一起,而是把複雜的流程藏在背後,讓一般人也能直接參與,而不用先看懂一堆艱深的技術。
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Tendi@Tangvi27·
Scaling Ethereum requires more than bigger blocks. Ethereum's upcoming Glamsterdam upgrade introduces ePBS, a new approach that restructures slot timing to support larger blocks and more blobs Instead of requiring the entire block to reach validators within a few seconds, ePBS separates block components, giving more time for execution payloads and blob data to propagate. This helps improve scalability, but it doesn't completely solve the underlying networking challenge ⚡ How Optimum addresses the bottleneck 🔹 ePBS optimizes block timing, allowing different parts of a block to arrive at different deadlines 🔹The real bottleneck remains data propagation, especially as block sizes and network participation continue to grow 🔹Optimum uses Random Linear Network Coding (RLNC) to fundamentally improve how data moves across Ethereum 🔹Lower latency and lower propagation variance enable blocks to spread through the network more quickly and reliably 🔹Higher throughput allows the network to process more data without being limited by bandwidth constraints 🔹Performance scales with network growth, maintaining efficient propagation even as Ethereum becomes larger and more decentralized Optimum isn't simply making Ethereum faster, it is improving the network layer that powers block propagation. By removing bandwidth bottlenecks with RLNC, Optimum helps create an Ethereum network capable of supporting larger blocks, higher throughput, and potentially shorter slot times without sacrificing decentralization Scaling Layer 1 isn't just about increasing block size, it's about ensuring data can move efficiently across the entire network. That's where Optimum's technology makes the difference @get_optimum
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Cipher (❖,❖)
Cipher (❖,❖)@nnthanhthanh96·
Ethereum blockspace still faces a hidden issue: > Builders bid high, but propagation delays force proposers to commit early to avoid reorg risk. > This leaves ~190 ETH/week uncaptured, cutting validator rewards that could push APR near 2%. > As a result, hedging grows and validator activity shifts toward operators with stronger infra , hurting decentralization. > mump2p + RLNC reduces variance ~7x, making block delivery predictable so bids can clear on real value instead of fear. Ethereum is close to solving this, but not fully there yet. cc : @get_optimum @aqccapital @cryptooflashh @blockchainjeff
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Cipher (❖,❖)@nnthanhthanh96

In a world where every millisecond decides winners and losers, one undeniable truth remains: 𝐒𝐩𝐞𝐞𝐝 𝐢𝐬 𝐌𝐨𝐧𝐞𝐲 . And as we’ve seen across industries competing down to the millisecond: > HFT: +1ms speed advantage = +$100M/year. Funds spend tens of millions just to shave off microseconds. > E-commerce: Amazon: +100ms page load = -1% revenue. Google: +0.5s = -20% traffic. > Blockchain: Slow block propagation = stale/orphan → lost rewards. In MEV races, whoever is faster captures the value first. When speed equals money everywhere else, it’s only natural that blockchain follows the same rule and Optimum makes it real 👉 @get_optimum leverages RLNC to accelerate propagation 6–20x, cut bandwidth by 90–95%, and help validators achieve higher & more stable staking yields. The result: faster networks = real money for validators, searchers, and stakers. cc : @blockchainjeff @cryptooflashh @aqccapital

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Cipher (❖,❖)@nnthanhthanh96·
@Tangvi27 art đẹp , bài viết chất lượng , combo 10d nha b đẹp
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bidogold.data
bidogold.data@bidogold·
Ethereum Needs More Than Higher TPS When discussions about Ethereum scalability begin, the focus is usually on higher transactions per second, lower gas fees, or faster execution. While these improvements are important, they represent only part of the scalability challenge. A blockchain cannot process information that has not yet reached its participants. Before validators can execute transactions or reach consensus, they must first receive blocks, attestations, and other critical data. If communication across the peer-to-peer network becomes inefficient, increasing execution capacity alone cannot deliver the full benefits of scalability. This is why networking deserves to be considered a core component of Ethereum's future. According to Optimum's documentation, the project is building a Universal Data Acceleration Network that improves data propagation without changing Ethereum's consensus or execution layers. Through mump2p and Random Linear Network Coding (RLNC), Optimum aims to reduce redundant network traffic, improve bandwidth efficiency, and enable faster, more reliable communication between validators. As Ethereum continues to support stablecoins, tokenized real-world assets, decentralized finance, and AI-driven applications, the volume of information moving across the network will grow significantly. Scaling this future requires more than simply processing more transactions. It also requires ensuring that information reaches every participant quickly and efficiently. Higher TPS may increase blockchain capacity, but better networking ensures that capacity can be fully utilized. By strengthening the communication layer, Optimum is helping build an Ethereum ecosystem that is not only faster, but also more resilient, efficient, and ready for long-term growth. @get_optimum @blockchainjeff @aqccapital
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bidogold.data@bidogold

Why Faster Data Creates Better Decentralization For years, blockchain has been built around a familiar trade-off: improve performance, and you often sacrifice decentralization. But what if better networking could strengthen both at the same time? One of the biggest challenges in decentralized systems is that not every validator has the same network conditions. Participants located closer to major infrastructure hubs often receive blocks and attestations sooner, while those farther away face higher latency and more redundant traffic. Over time, these differences can create an uneven playing field. @get_optimum approaches this problem from the networking layer rather than the consensus layer. According to the project's documentation, its mump2p protocol uses Random Linear Network Coding (RLNC) to improve how data is propagated across peer-to-peer networks. By reducing redundant transmissions and making communication more efficient, the protocol helps information reach validators in a more consistent and reliable way. This matters because decentralization is not only about the number of nodes in a network. It is also about giving participants a fair opportunity to receive and process information, regardless of where they are located. Faster and more efficient networking can reduce the disadvantages caused by geography, improve communication under heavy network load, and help maintain a healthier decentralized ecosystem. True decentralization is not achieved by slowing everyone down equally. It is achieved by building infrastructure that allows more participants to compete on a fair and efficient network. That is the future Optimum is working toward. @blockchainjeff @aqccapital

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vidang
vidang@vidangne·
𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗳𝗼𝗿 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗼𝗿𝘀, 𝗡𝗼𝘁 𝗝𝘂𝘀𝘁 𝗳𝗼𝗿 𝗛𝘆𝗽𝗲 In crypto, many projects chase hype with big promises and flashy launches. But real infrastructure is built differently, by listening to the people who actually run the network: the validators. Validators don’t care about marketing. They care about practical things: Can I add this without changing my whole setup? Will it reduce missed attestations? Will it help me capture more MEV or lower my bandwidth costs? And most importantly, will it improve my returns? This is the approach @get_optimum took with mump2p. Instead of forcing major changes, they designed it as a lightweight sidecar. No consensus modifications. No big hardware upgrades. Validators can integrate it easily and start seeing benefits quickly. By using RLNC, mump2p delivers significantly faster block propagation while cutting bandwidth usage by up to 90–95%. On testnet, it reached around 150ms average propagation, helping validators achieve more consistent attestations and better MEV capture. These improvements aren’t just technical. They translate into real revenue gains, as shown in Optimum’s Earning Calculator. The focus has always been on solving actual operator problems, not creating hype. In a space full of noise, Optimum chose to build quietly for the people securing the network every day. Because at the end of the day, good infrastructure isn’t made for attention, it’s made for the validators who run it. 𝗦𝗽𝗲𝗲𝗱 𝗶𝘀 𝗠𝗼𝗻𝗲𝘆. And it starts with solving real problems.
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vidang@vidangne

𝗛𝗼𝘄 𝗙𝗮𝘀𝘁𝗲𝗿 𝗣𝗿𝗼𝗽𝗮𝗴𝗮𝘁𝗶𝗼𝗻 𝗔𝗳𝗳𝗲𝗰𝘁𝘀 𝗕𝗹𝗼𝗰𝗸 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 𝗘𝗰𝗼𝗻𝗼𝗺𝗶𝗰𝘀 While discussions around faster data propagation often focus on validators, the benefits also extend to block builders and relayers. Block builders need time to construct high-value blocks, especially when extracting MEV. Relayers are responsible for efficiently distributing these blocks to validators. When propagation is slow, both groups have less time to operate effectively, which can lead to missed MEV opportunities and less efficient block delivery. Faster propagation, such as what mump2p enables, gives block builders more time to optimize their blocks before submission. This can improve MEV extraction and overall block value. For relayers, quicker and more reliable data transmission helps improve the speed and consistency of block delivery across the network. In addition, more efficient propagation reduces bandwidth usage, which can help lower operational costs for both block builders and relayers running large scale infrastructure. As competition in block production increases, improvements in propagation speed can create advantages not only for validators but also for those responsible for building and relaying blocks.

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vidang
vidang@vidangne·
@Tangvi27 nay làm ảnh ngầu dạ chị
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Thomas
Thomas@0xThomassss·
@Tangvi27 hình đẹp nha bác Tendi
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CLOUD
CLOUD@0xcloudlab·
Blockchain Performance Begins With Data Propagation A low block time means little if blocks, transactions, and blobs cannot reach validators consistently. Traditional gossip can waste bandwidth by sending duplicate data across the network. Optimum uses mump2p and RLNC to divide messages into coded shards that nodes can forward and recode before receiving the complete message. For builders, this matters beyond validator infrastructure. Faster and more predictable propagation improves inclusion, reduces hidden application latency, and makes onchain products feel more responsive. Before measuring how much a blockchain can process, we should measure how efficiently its nodes can communicate. @get_optimum @blockchainjeff @aqccapital @ada_pegasus
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Lilyyy
Lilyyy@ImLilyy210·
𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂 𝗱𝗶𝗱𝗻'𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗿𝗲𝘀𝗲𝗻𝗱 𝘁𝗵𝗲 𝗲𝘅𝗮𝗰𝘁 𝘀𝗮𝗺𝗲 𝗽𝗮𝗰𝗸𝗲𝘁 𝗲𝘃𝗲𝗿𝘆 𝘁𝗶𝗺𝗲 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘄𝗮𝘀 𝗺𝗶𝘀𝘀𝗶𝗻𝗴? That's how most networks work today. A packet is lost. The sender retransmits the same packet. If another packet is lost... It retransmits again. As networks become larger and more distributed, these repeated retransmissions consume bandwidth, increase latency, and slow down data propagation. This is where Random Linear Network Coding (RLNC) takes a different approach. Instead of forwarding or retransmitting identical packets, RLNC combines multiple pieces of data into coded packets. Each coded packet carries new information. As long as enough independent coded packets arrive, the receiver can reconstruct the original data. The network no longer depends on receiving every specific packet. It only needs enough useful information. This is one of the core technologies behind Optimum's Universal Data Acceleration Network. Rather than optimizing blockchain execution, Optimum applies RLNC to improve how data moves across distributed networks, reducing redundant transmissions while making propagation more resilient to packet loss. The goal isn't to send more packets. It's to make every packet count. That's a fundamental shift in how data propagation can be designed. Bandwidth is finite. Useful information is what really matters. What do you think is more important for blockchain networking: sending data faster or sending data smarter? @get_optimum
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Lilyyy@ImLilyy210

𝗜𝗳 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲 𝘁𝗼 𝘀𝗲𝗻𝗱 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗱𝗮𝘁𝗮 𝗼𝘃𝗲𝗿 𝗮𝗻𝗱 𝗼𝘃𝗲𝗿 𝗮𝗴𝗮𝗶𝗻... Maybe the problem isn't your bandwidth. It's your design. Every blockchain node needs the same block data. Today, that data is typically propagated by forwarding identical packets from one peer to another until the entire network has received them. It works. But it's also inefficient. The larger the network becomes, the more duplicate transmissions are created. More copies. More congestion. More waiting. Simply increasing bandwidth doesn't solve this. It only allows the network to send more duplicate data at a higher speed. This is exactly why Optimum is rethinking how data moves across blockchain networks. Instead of asking: "How can we send packets faster?" The better question is: "Why are we sending the same packets repeatedly in the first place?" That shift in thinking changes everything. True scalability isn't just about moving more data. It's about moving the same data with far less redundancy. And that's where the next generation of blockchain networking begins. Sometimes the biggest performance gain doesn't come from adding more resources. It comes from eliminating unnecessary work. What's your take? If you could redesign blockchain networking from scratch, would you keep forwarding the same data or find a smarter way to distribute it? @get_optimum

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Tendi
Tendi@Tangvi27·
@ImLilyy210 Kiếm hiệp thời hiện đại ó chị
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Lilyyy
Lilyyy@ImLilyy210·
@Tangvi27 nhìn như trong phim kiếm hiệp ấy nhỉ
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cuongquoc ✏️
cuongquoc ✏️@cuongquocartist·
Blockchain performance is often judged by numbers such as throughput, latency, or transaction speed. While these metrics are important, they don't tell the whole story. There is another factor that quietly influences how efficiently Ethereum operates every day. Confidence in the network. Ethereum's Proposer-Builder Separation (PBS) model allows builders to compete to create the most valuable block before a proposer selects the winner. In an ideal world, builders would use every available moment to optimize their blocks and maximize value. However, the real network is far from predictable. No participant can know with complete certainty how quickly a block will propagate to every validator. Even when average propagation times look good, occasional delays introduce uncertainty. Because of this, builders often choose to finalize and submit their blocks earlier than necessary, preferring reliability over taking the risk of missing the deadline. This behavior is completely understandable. Yet when every builder makes the same conservative decision, the impact extends beyond individual blocks. The effective time available for optimization becomes shorter, reducing competition and limiting the amount of value that can ultimately be included in each slot. Small uncertainties can create large effects. Ethereum doesn't need to experience network failures for efficiency to decline. Even minor unpredictability changes how participants behave. Builders stop optimizing earlier, proposers become less willing to wait, and validators receive less time to validate incoming data before consensus. Individually, these adjustments seem insignificant. Collectively, they reduce the network's ability to capture maximum value while maintaining decentralization. This is why infrastructure matters just as much as consensus itself. Improving how information moves across the network doesn't simply reduce latency - it creates greater confidence that data will arrive when expected. That confidence allows participants to make better decisions, use more of the available slot time, and unlock higher overall efficiency without changing Ethereum's core protocol. Sometimes, the biggest improvements don't come from making a blockchain faster. They come from making its communication more predictable. @get_optimum @ada_pegasus
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Ông Năm
Ông Năm@FinnNguyenMCI·
Network Coding Is the Missing Layer As I continued reading Optimum's documentation and listening to Muriel Medard's public talks, one idea gradually became more convincing. Blockchain has spent years improving almost every major layer of its architecture. Consensus has evolved, execution engines have become more efficient, data availability has emerged as its own field of innovation, and zero-knowledge systems continue to mature. Yet one part of the stack still seems to receive surprisingly little attention: the network itself. When people discuss blockchain scalability, networking is often treated as a transport problem. The assumption is that data simply needs to move from one node to another as quickly as possible. Optimum introduces a different perspective. Instead of treating the network as a passive delivery system, network coding allows the network itself to participate in making communication more efficient. Every transmission carries useful coded information rather than simply forwarding another duplicate packet. What makes this interesting to me is that network coding is not a new idea invented for blockchain. It has been studied for decades within coding theory and has influenced reliable communication across satellite systems, wireless networks, distributed storage, and other large-scale infrastructures. Blockchain, however, has largely continued to rely on conventional packet forwarding, even as every other layer has evolved. That raises an interesting question. If execution layers transformed how blockchains compute, and consensus protocols transformed how blockchains agree, could network coding transform how blockchains communicate? I don't think the answer is obvious yet, but I do think it is a question worth exploring. Perhaps the missing breakthrough for blockchain scalability is not another execution engine or another consensus mechanism. Perhaps it is a communication layer that was overlooked all along. That is why I find Optimum's work compelling. Rather than replacing existing blockchain architecture, it explores whether improving the movement of information itself can unlock better performance for the entire network. ------------------ Research Notes on Optimum Based on Optimum Docs, technical blog and public talks by Muriel Medard. @get_optimum
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Ông Năm@FinnNguyenMCI

Decentralization Without Distance One idea kept coming back as I read through Optimum's documentation and Muriel Medard's technical talks. Most discussions about decentralization focus on who participates in the network. Far fewer ask whether every participant has an equal opportunity to perform well. In today's blockchain networks, physical distance still matters. Validators located closer to block builders or major networking hubs often receive new data earlier. Even small differences in propagation time can translate into more time for validation, proposal, or participation in consensus. Over time, this creates incentives for operators to deploy infrastructure in the same geographic regions or data centers. The network may remain decentralized in theory, while becoming increasingly concentrated in practice. That made me realize something. Decentralization is not only about the number of nodes. It is also about whether the network treats distant nodes fairly. This is where Optimum's approach became particularly interesting to me. Rather than trying to eliminate the laws of physics, it focuses on reducing the amount of redundant traffic that competes for limited network resources. With RLNC, every coded packet carries useful information instead of another duplicate copy. As a result, nodes spend less time receiving repeated data and more time receiving information that actually contributes to reconstructing the original dataset. The goal is not to make every node equally close. That is impossible. The goal is to reduce the performance penalty caused by being farther away. If distance becomes less important, infrastructure can become more geographically distributed without suffering the same efficiency trade-offs. To me, that represents a different way of thinking about decentralization. Instead of asking how many validators a blockchain has, perhaps we should also ask whether those validators can participate under comparable network conditions. Because a decentralized network should not reward geography more than contribution. That may be one of the most understated ideas behind Optimum. Not making the network smaller. Not making the world closer. Simply making distance matter less. ------------------ Research Notes on Optimum Based on Optimum Docs, technical blog and public talks by Muriel Medard. @get_optimum

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