scaling. Conventional blockchain platforms support limited transaction throughput. Many different scaling solutions exist and have been proposed, but they typically have one or other shortcoming associated with them. The so-called Scalability Trilemma states that it is difficult to scale a blockchain platform while maintaining decentralisation and security. Solutions including larger blocks, a smaller number of validators, and sharding have all been suggested or are being implemented.
There is another issue to factor in: composability. DeFi is so powerful because open-source dApps can be reused, modified and plugged into existing dApps to access existing functionality and network effect – adding value to the ecosystem as a whole. Certain applications, including those that use flash loans or involve instant arbitrage, require atomic composability: the property whereby all relevant transactions are executed successfully, or else none are. Certain scaling solutions – including some forms of sharding and L2 platforms – can introduce friction and complexity, meaning that atomic composability does not work reliably or at all.
The challenge for blockchain is not just to scale, but to maintain atomic composability at scale. Ergo is not currently seeking to scale by implementing untested technologies for now. Instead, it aims to use the ‘headroom’ that is still available for conventional blockchain platforms by using resources more intelligently. Solutions include NiPoPoWs and storage rent, as well as featuring an open governance process that avoids the need for contentious hardforks to upgrade the network.
https://bitcoingarden.org/forum/index.php?topic=84073.msg533622#msg533622
So am I reading this correctly? Ergo will maintain composability by not implementing those scaling solutions and using NiPoPoWs instead
Yeah there's more options of level 1 to scale while we wait for a L2 winner. Or maybe multiple will be implemented in different domains
mhmm good strategy - think some more technical-oriented people would try to compare us with Radix on the L1 scaling aspect
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