According to Muriel Médard, an MIT professor, Random Linear Network Coding (RLNC) is ready for commercialization in the Web3 sector after 15 years of research. RLNC, which has applications in 5G and IoT, can enhance blockchain scalability by encoding data into mathematical equations, leading to increased transmission speed, reduced bandwidth use, and more reliable data delivery. Médard emphasizes the need for scalability breakthroughs as blockchain adoption grows, with industries leaning towards Web3 for payments and financial instruments. Backed by notable investors, Médard and her co-founder Nancy Lynch launched Optimum, a decentralized memory infrastructure for blockchains utilizing RLNC technology. Despite existing challenges in scalability faced by networks like Bitcoin and Ethereum, the potential for RLNC to address bottlenecks could be crucial for future Web3 developments. The article notes the growing significance of stablecoins and their evolving role in payments, highlighting the urgent need for networks to enhance capacity to accommodate increasing demand.

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