We study shared sequencing for different chains from an economic angle. We introduce a minimal non-trivial model that captures cross-domain arbitrageurs' behavior and compare the performance of shared sequencing to that of separate sequencing. While shared sequencing dominates separate sequencing trivially in the sense that it makes it more likely that cross-chain arbitrage opportunities are realized, the investment and revenue comparison is more subtle: In the simple latency competition induced by First Come First Serve ordering, shared sequencing creates more wasteful latency competition compared to separate sequencing. For bidding-based sequencing, the most surprising insight is that the revenue of shared sequencing is not always higher than that of separate sequencing and depends on the transaction ordering rule applied and the arbitrage value potentially realized.

The focus of the panel will be to unravel the intricate landscape of Ethereum Virtual Machine (EVM) implementation differences between Layer 1 (L1) and Layer 2 (L2) networks, shedding light on the challenges arising from the diverse and non-standardised nature of L2 ecosystems. We'll be delving into the nuances of EVM compatibility versus EVM equivalence and explore the assumptions and challenges that developers face in this evolving space, especially with L2s emerging as a transformative force.

The multichain environment brings both differences and complexities, and the panellists will try to address the dynamic terrain of L2 technologies - from diverging pathways to potential convergence. The discussion will extend beyond technical considerations, exploring the profound implications for Web3 infrastructure and development toolkits.