1/4 “Speed is money.” That statement from Prof. Muriel Médard @MurielMedard makes a lot more sense when you understand the problem she has spent years researching and why it matters to blockchain. When we talk about making blockchains faster, the conversation usually revolves around transactions per second, bigger blocks, better execution, and scaling solutions. But there's another part of the equation that doesn't always get enough attention: how quickly information moves across the network. A blockchain can have powerful computers, efficient validators, and a well-designed consensus mechanism, but if the information those participants need takes too long to reach them, there's still a problem to solve.

In a system where milliseconds can matter, the way data travels isn't just a technical detail. It can have economic consequences. This is the problem @get_optimum is working to address. Ethereum's existing peer-to-peer networking stack relies heavily on GossipSub for block propagation. It does the job of spreading information across the network, but traditional gossip-based systems can involve nodes forwarding overlapping copies of the same data. As the network grows, this can mean more redundant traffic, more bandwidth consumption, and differences in how quickly information reaches participants. The question is simple: can we move the same information more efficiently, without sacrificing the decentralization that makes the network valuable in the first place? That's where Optimum's mump2p comes in. Powered by Random Linear Network Coding (RLNC), a field of research that Prof. Médard has helped pioneer over decades, mump2p approaches data propagation differently. Rather than relying only on nodes forwarding identical pieces of information, the network can transmit coded combinations of the original data. Think of it this way. Instead of everyone repeatedly passing around the same pieces of a puzzle, the network sends coded pieces that can contribute to reconstructing the original information. As enough useful pieces arrive, a node can recover the data it needs without having to wait for every specific piece to arrive in a particular order. This can reduce redundant transmissions and help information spread more efficiently across the network. The goal isn't to replace Ethereum's consensus mechanism or change how validators reach agreement. It's to improve the journey the data takes to reach them. And that distinction matters. You don't always need to rebuild the entire system to improve its performance. Sometimes, you need to identify the part of the system holding everything else back and make that part work better. What makes this especially worth paying attention to is that mump2p isn't just an idea being discussed in research papers. Optimum has brought its approach to Ethereum mainnet, working with professional staking operators and infrastructure partners to test and use the technology in real-world conditions. The network is already accelerating the propagation of data associated with billions of dollars in staked ETH. That's an important step because performance improvements need to be examined in the environments where validators actually operate, not just in theory. Of course, faster propagation doesn't automatically guarantee higher returns for every validator. Results depend on several factors, and the benefits need to be evaluated using real measurements. But if information reaches a validator sooner and more consistently, that can create more room for it to perform its duties effectively and potentially improve its economic outcomes. This brings us back to Muriel's statement: “Speed is money.” The point isn't simply that being fast is good. It's that the time required to move information can influence what participants are able to do, how consistently they can do it, and the opportunities available to them. There's also a bigger question here about decentralization. In many systems, performance advantages tend to favor participants who can afford better infrastructure or position themselves closer to important points in the network. In blockchain, that can create an uneven playing field where operators with better connectivity or more favorable locations have an advantage over those farther away. 3/4