Gauntlet founder discusses AI investment dynamics on Delphi Podcast
Summary
Tarun Chitra, founder of Gauntlet and managing partner at Robot Ventures, discussed the AI market structure during a recent podcast, highlighting that "all the money goes to the top and the bottom," with the top representing harnesses and the bottom consisting of inference providers. Chitra's comments came after Robot Ventures led a $90 million funding round for Nous Research, where he emphasized the shortcomings of early crypto efforts in AI, likening them to "meme coins with more steps" rather than meaningful infrastructure. He also characterized the Hermes platform as analogous to Ubuntu, serving as a foundational operating system for AI agents, which encourages broader compatibility and development.
Analysis
Gauntlet: Gauntlet is a firm founded by Tarun Chitra with a focus on risk and protocol analysis in decentralized systems. Tarun Chitra serves as its founder while also acting as managing partner at Robot Ventures. His expertise informs discussions on emerging AI market structures in the referenced podcast. Tarun Chitra: Tarun Chitra is the founder of Gauntlet and managing partner at Robot Ventures. He conducted several months of diligence on Nous Research using data sources like OpenRouter and GitHub activity before leading the investment. His commentary centers on AI value distribution across infrastructure layers and lessons from prior crypto AI experiments. Nous Research: Nous Research is an AI development company backed in a major funding round led by Robot Ventures. It builds the Hermes agent platform, positioned as foundational infrastructure similar to a core operating system. The project stands out for early differentiation in crypto-linked AI efforts and global developer adoption including Chinese robot makers. Robot Ventures: Robot Ventures is a venture firm with Tarun Chitra as managing partner. It led the funding round for Nous Research after extensive evaluation of its technology and ecosystem. The firm focuses on AI projects that address practical developer needs and infrastructure gaps beyond token-driven approaches. AI Market Structure: Value in AI concentrates at the harness layer on top and inference providers at the bottom of the technology stack. Crypto AI Evolution: Early crypto attempts in AI frequently amounted to meme-driven tokens rather than substantive infrastructure builds. AI Platform Comparison: Hermes functions more like a foundational operating system for AI agents than a closed mobile ecosystem, enabling broader compatibility and development.
Categories
cryptoaitechmachine_learning