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Sei Research Initiative

A first-principles approach to reimagine the EVM across all layers. All content produced by the Sei Research Initiative, a collaboration between Sei Labs, Sei Foundation, and the broader blockchain industry.

From Deep Web to Deep Learning: The Props Revolution

From Deep Web to Deep Learning: The Props Revolution

By Ben Marsh - Sei Labs Research for Sei Research Initiative Special thanks to Jake, and Naman for feedback and discussions. The Sei blockchain is not just another high performance network. It is the bedrock on which new, trust-anchored data solutions can thrive. Approximately 95% of humanity's data

64.85% of Ethereum Transactions Can Be Parallelized

64.85% of Ethereum Transactions Can Be Parallelized

Special thanks to Yannis, Gurnoor, Pavel, Ren, Lefteris, and Evan for feedback and discussions. Introduction In this post, we'll clarify the concepts of sequential, concurrent, and parallel execution in blockchains, highlight the differences between dependent and independent transactions—both abstractly and specifically in Ethereum's EVM—and

Scaling the EVM from First Principles: Reimagining the Storage Layer

Scaling the EVM from First Principles: Reimagining the Storage Layer

Special thanks to Philippe Dumonet, Lefteris Kokoris-Kogias, Patryk Krasnicki, dcbuilder.eth, Evan Pappas, Rishin Sharma, Anastasios Andronidis, for feedback and discussions. Introduction The storage layer of blockchain virtual machines is critical as it manages persistent data such as smart contracts and accounts, as well as their internal states and variables.

Introducing the Sei Research Initiative

Introducing the Sei Research Initiative

Sei Labs and the Sei Foundation are opening up the dialogue with third party researchers, thought leaders and external contributors to explore the limits of the EVM under the Sei Research Initiative. The Sei Research Initiative shares Vitalik's view that Ethereum's multi-client philosophy strengthens the ecosystem