Why AI Compute Should Be a Public Good, Not a Hyperscaler Monopoly

Summary

Ben Fielding, CEO of Gensyn, discusses decentralized AI infrastructure and the launch of Delphi, a prediction market settled by AI. He argues that AI compute should be open rather than controlled by hyperscalers, and explains how information markets can incentivize both humans and machines to trade data. The interview covers the Gensyn network, its AI token economics, and the technological underpinnings of machine learning verification.

• Ben Fielding presents Gensyn as a decentralized AI compute platform aiming to scale machine learning horizontally.
• Delphi is an information market where users can create markets and trade information, with outcomes settled by AI.
• The AI token is the native utility token of Gensyn, with fees used for buy-and-burn to create deflationary pressure.
• Gensyn uses an OP Stack L2 on Ethereum for security and programmatic trust between machines.
• The platform targets the long tail of niche markets that centralized prediction markets ignore.
• Machine learning models are expected to dominate trading in information markets due to speed and data access.
• Fielding emphasizes economic balance with no inflationary rewards, contrasting with many crypto systems.