From teaching machines to code, to rethinking blockchain governance
Before it became a leading Layer-1 blockchain, NEAR started in 2017 as an AI startup focused on teaching machines how to code. That early vision of using intelligent systems to simplify complexity shaped NEAR’s approach to building scalable, user-friendly blockchain infrastructure.
In this interview, Lane Rettig, Head of Research, reflects on NEAR’s evolution and highlights how governance remains central to its mission. From protocol-level decisions to community participation, NEAR explores models that balance decentralisation with efficiency, ensuring the network can adapt as it grows.
By blending its AI roots with pioneering governance frameworks, NEAR is carving a path toward a blockchain that not only scales but also remains sustainable, transparent, and community-driven.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
Investing for Tomorrow: Preparing the Workforce and Advancing Tech Education in the Digital Age
- AI, cybersecurity, and data analytics are reshaping industries, driving 29% growth in cybersecurity roles and 56% wage premiums for AI skills. - Educational institutions like CCBC and Cengage Work are bridging skill gaps through AI-powered training and industry partnerships. - Government-industry collaborations aim to train 500 AI researchers by 2025, emphasizing workforce readiness as a shared responsibility. - ROI metrics for tech education now include operational efficiency gains and strategic alignme
FARTCOIN Trades at $0.347 as 9.6% Daily Gain Meets Strong $0.38–$0.40 Resistance
Aster Holds Near $1.06 as Tightening Channel Highlights Key Resistance
Pepe Gains 2.6% This Week While Holding Support and Testing $0.054706 Resistance
Trending news
MoreCrypto prices
More
