Tomasz Stańczak, Ethereum’s co-director, has outlined plans to incorporate large language models (LLMs) into the platform’s operations.
LLM models to do automated tasks for Ethereum Foundation
Stańczak argues that the large language models used in AI can deliver big efficiency gains, aiming to automate tasks such as code writing, proposal editing, and even accepting or rejecting network upgrades, using AI’s efficiency and the comprehensive understanding of Ethereum’s development history.
“It is important for Ethereum to be the first chain to be LLM-driven,” Stańczak said. “It is an advantage akin to being the first PoW chain.”
PoW, or Proof of work is a consensus mechanism used mostly by Bitcoin’s blockchain to validate the network. Ethereum first used PoW. However, they shifted to the Proof of Stake, or PoS, consensus mechanism by 2022 for a more energy-efficient network, bound by security and sustainability.
Stańczak plans to develop more than AI-generating codes
Stańczak, who had announced their resignation earlier this month, also stated his commitment to Ethereum by working on a “hands-on product builder” that will use artificial intelligence.
With the Agentic AI taking up the blockchain ecosystem, by 2025, most developers will no longer engage in manual coding anymore. They rely on AI tools like Copilot, prioritizing speed over deep knowledge.
Stańczak’s idea is not just to use AI to just generate code but to treat AI governance as an infrastructure upgrade. He wants to bring in AI agents or autonomous software programmes that will achieve specific goals without a human overlooking their smallest details.
