Introduction By Vangelis, Sei Labs Research for Sei Research Initiative. Special thanks to Niko for feedback and contributions. In October 2023, the Ethereum Foundation lost $9,101 in a sandwich attack while swapping 1.7 ETH via Uniswap V3. The MEV bot frontran the transaction, extracting $4,060 in profit

By Ben Marsh, Sei Labs Research for Sei Research Initiative. Introduction One of the notable things about Autobahn, the consensus protocol used in the Sei Giga proof of concept, is the existence of concurrent rather than sequential block production. When a validator is creating a block they are doing so

Introduction Since Vitalik’s post about RISC-V the different approaches to VMs have come back to the front of everyone’s mind. In this post we recap a handful of approaches, run over their technical underpinnings and highlight some pros and cons of the approaches. The approaches in this work

Market participants, humans (as long as AI is not conscious and follows humans’ intents), are ultimately the ones that determine the value of an asset and behavioral economics have proven that most humans do not act as rational agents.  When we attempt to evaluate blockchain networks we often fall into

Introduction Unlike earlier PoS designs, Tendermint offered deterministic guarantees for consensus and eliminated the possibility of forks, which became a very influential model for modern PoS blockchains. However it still faces throughput limitations due to its single-proposer architecture. Sei Giga is using the Autobahn consensus mechanism, which is based on

From unimodal to multimodal LLMs LLMs evolved from unimodal systems that process single data types (e.g., text) to multimodal systems capable of understanding and generating diverse modalities such as text, images, audio, video, and more. The introduction of transformer architecture in 2017 marked a pivotal moment in the history

When we last discussed the emergence of the next billion agents, we outlined an architectural framework to support this coming wave. Soon, individuals won’t just have one AI agent but an entire army of them, executing tasks on their behalf. AI systems now outperform specialized human experts, with models