Khan

@McMurchie @alexmd2 @Techmeme @CatherineShu At this point, I want ETH even if it is a scam

INJECTIVE AMBASSADOR PROGRAM: A lot of you have been texting me regarding the @injective Ambassador Program. Here are all the details you need to know: > Injective Ambassador Program never closes; the team is always acquiring good ambassadors. > It is a paid program. > You need to fill out the form to become an ambassador. > The basic requirements are 50k impressions/month and 500 followers. > If you are selected, the team sends you an invitation/DM on X. Reality Check: > The Injective Ambassador Program is highly competitive and promising, so just completing the basic requirements is not a guaranteed selection. Tips: Maximize your chances through Injective Supporter Campaign. > Injective has launched the Injective Supporter Program on Zealy. > A biweekly campaign with 300 $INJ tokens in the pool. > The team notices top users. There is a high chance that top users are selected as ambassadors, and they win from the pool too.

𝗢𝗻𝗲 𝗢𝗳 𝗢𝗽𝘁𝗶𝗺𝘂𝗺’𝘀 𝗠𝗼𝘀𝘁 𝗨𝗻𝗱𝗲𝗿𝗮𝗽𝗽𝗿𝗲𝗰𝗶𝗮𝘁𝗲𝗱 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀 Most networking systems depend on receiving exact packets in the correct sequence. RLNC works differently. With Random Linear Network Coding, nodes do not need the original packet set to recover information. 𝗧𝗵𝗲 𝗢𝗻𝗹𝘆 𝗧𝗵𝗶𝗻𝗴 𝗧𝗵𝗮𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 𝗜𝘀 𝗘𝗻𝗼𝘂𝗴𝗵 𝗜𝗻𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝘁 𝗖𝗼𝗱𝗲𝗱 𝗦𝗵𝗮𝗿𝗱𝘀 That means: 🔹 recovery depends on the information collected, not the arrival order 🔹 missing packets become far less damaging 🔹 networks remain resilient even under unstable conditions 🔹 propagation efficiency improves in distributed environments This is one of the biggest reasons RLNC performs so effectively across large-scale decentralized systems where: 🔹 packet loss is common 🔹 latency fluctuates constantly 🔹 network paths remain unpredictable And this architecture is becoming a core part of what @get_optimum is building. 𝗙𝗿𝗼𝗺 𝗣𝗿𝗼𝗽𝗮𝗴𝗮𝘁𝗶𝗼𝗻 𝗧𝗼 𝗗𝗲𝗰𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱 𝗗𝗮𝘁𝗮 𝗔𝗰𝗰𝗲𝘀𝘀 The same RLNC foundation powering Optimum’s propagation layer is now being extended into DeRAM. The objective is much bigger than simply accelerating data transmission. It’s about making decentralized data retrieval scalable, reliable, and practical for real-world systems. 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 Future blockchain infrastructure will require: 🔹 continuous real-time data availability 🔹 efficient recovery under network instability 🔹 scalable decentralized storage access 🔹 low-latency communication between distributed nodes And traditional networking models begin struggling as throughput grows. RLNC changes that dynamic by allowing networks to reconstruct information flexibly instead of depending on rigid packet delivery. While most projects focus only on execution scaling. @get_optimum is working on the communication and data-access layer needed to support truly large-scale decentralized systems. @aqccapital @blockchainjeff @CryptoSundayz

everyone's focused on faster execution monad, solana, parallel evm, all racing on compute speed but execution on major L1s is already fast enough the real ceiling is propagation @get_optimum tested this. 72 nodes globally, mump2p vs gossipsub head to head at 8MB blocks gossipsub takes 10.3 seconds. optimum does it in 1.3 seconds at 10MB gossipsub hits a 2000%+ latency spike and fails to deliver consistently. optimum holds at ~1 second ethereum gives validators 4 seconds to attest inside a 12s slot if the block is still traveling at second 5, execution speed means nothing. you can't reach consensus on data that hasn't arrived this is why validators physically move servers into the same data centers (atlantic corridor) just to cut propagation manually a centralization fix for a network problem and builders keep submitting smaller blocks on purpose, leaving MEV on the table because they can't trust the propagation layer to beat the deadline optimum's own data shows 100-150ms faster propagation = 1-2% more staking revenue for operators most teams haven't even started thinking about this layer yet

one question keeps coming up when people look at @get_optimum : “okay… but who actually needs this?” and honestly, that question tells me most people still think propagation is a niche problem. I don't think it is. the hidden insight is that networks rarely break because block times are slow. they break because different parts of the network stop seeing the same reality at the same time. that shows up as: ⮕ fork pressure ⮕ reorg surprises ⮕ inconsistent chain views ⮕ weird UX during busy periods so who benefits from something like Optimum? the obvious answer: «high-throughput chains large validator sets networks where small delays become expensive quickly» those are easy to spot. the more interesting answer is everyone else. ◇ chains that aren't chasing TPS records ◇ teams that care about reliability more than marketing numbers ◇ validators tired of asking "why was my view different?" ◇ operators who want visibility into propagation, not just faster benchmarks because the real issue isn't always speed. sometimes it's coordination. that's where I think people misunderstand Optimum. it's not built only for chains pushing the limits. it's for networks that treat propagation as critical infrastructure instead of an afterthought. the more I learn about distributed systems, the more it feels like scaling is really a coordination challenge wearing a performance mask. raw block time gets all the attention. shared network reality is what actually keeps things running smoothly. @get_optimum @ada_pegasus @cryptooflashh @CryptoSundayz