AI and crypto are evolving together, but not without a few missteps along the way.

In today’s episode, we chat with Wei Dai from 1kx and Tarun Chitra from Gauntlet about what went wrong with the first generation of crypto AI agents and why reasoning models are bringing about a shift.

We explore DeepSeek's revolutionary approach to cost optimization, the potential of MCP as "HTTP for agents," and why crypto’s experience with security is so crucial here. The discussion spans from the distant horizon of quantum computing to the very real opportunities in compute economics.

Our guests explain how AI’s cost revolution parallels crypto’s disruption of financial services and why decentralized computing might be the next big challenge. Let's dive into this conversation at the intersection of two transformative technologies.

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Newton is the trust layer for autonomous finance. Smart. Secure. Verifiable. Built for a future where AI agents replace apps and interfaces. Learn more here: https://www.magicnewton.xyz

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𝗗𝗜𝗦𝗖𝗟𝗔𝗜𝗠𝗘𝗥: 𝘐𝘯𝘷𝘦𝘴𝘵𝘪𝘯𝘨 𝘪𝘯 𝘤𝘳𝘺𝘱𝘵𝘰𝘤𝘶𝘳𝘳𝘦𝘯𝘤𝘺 𝘢𝘯𝘥 𝘋𝘦𝘍𝘪 𝘱𝘭𝘢𝘵𝘧𝘰𝘳𝘮𝘴 𝘤𝘰𝘮𝘦𝘴 𝘸𝘪𝘵𝘩 𝘪𝘯𝘩𝘦𝘳𝘦𝘯𝘵 𝘳𝘪𝘴𝘬𝘴 𝘪𝘯𝘤𝘭𝘶𝘥𝘪𝘯𝘨 𝘵𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 𝘳𝘪𝘴𝘬, 𝘩𝘶𝘮𝘢𝘯 𝘦𝘳𝘳𝘰𝘳, 𝘱𝘭𝘢𝘵𝘧𝘰𝘳𝘮 𝘧𝘢𝘪𝘭𝘶𝘳𝘦 𝘢𝘯𝘥 𝘮𝘰𝘳𝘦. 𝘈𝘵 𝘤𝘦𝘳𝘵𝘢𝘪𝘯 𝘱𝘰𝘪𝘯𝘵𝘴 𝘵𝘩𝘳𝘰𝘶𝘨𝘩𝘰𝘶𝘵 𝘵𝘩𝘪𝘴 𝘤𝘩𝘢𝘯𝘯𝘦𝘭, 𝘸𝘦 𝘮𝘢𝘺 𝘦𝘢𝘳𝘯 𝘢 𝘤𝘰𝘮𝘮𝘪𝘴𝘴𝘪𝘰𝘯 𝘰𝘳 𝘧𝘦𝘦 𝘢𝘴 𝘢 𝘴𝘱𝘰𝘯𝘴𝘰𝘳𝘴𝘩𝘪𝘱, 𝘪𝘧 𝘵𝘩𝘪𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘤𝘢𝘴𝘦 𝘸𝘦 𝘸𝘪𝘭𝘭 𝘢𝘭𝘸𝘢𝘺𝘴 𝘮𝘢𝘬𝘦 𝘴𝘶𝘳𝘦 𝘪𝘵 𝘪𝘴 𝘤𝘭𝘦𝘢𝘳. 𝘞𝘦 𝘢𝘳𝘦 𝘴𝘵𝘳𝘪𝘤𝘵𝘭𝘺 𝘢𝘯 𝘦𝘥𝘶𝘤𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘤𝘰𝘯𝘵𝘦𝘯𝘵 𝘱𝘭𝘢𝘵𝘧𝘰𝘳𝘮, 𝘯𝘰𝘵𝘩𝘪𝘯𝘨 𝘸𝘦 𝘰𝘧𝘧𝘦𝘳 𝘪𝘴 𝘧𝘪𝘯𝘢𝘯𝘤𝘪𝘢𝘭 𝘢𝘥𝘷𝘪𝘤𝘦. 𝘞𝘦 𝘢𝘳𝘦 𝘯𝘰𝘵 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘰𝘳 𝘭𝘪𝘤𝘦𝘯𝘴𝘦𝘥 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴.

The Truth About What Went Wrong with Crypto AI Agents with Tarun Chitra and Wei Dai

The Rollup

The Truth About What Went Wrong with Crypto AI Agents with Tarun Chitra and Wei Dai