In this episode of The Delphi Podcast, Tommy sits down with Travis Good, co-founder of Ambient, to discuss why open-source AI may ultimately beat the closed labs and what that shift means for developers, businesses, and the broader AI economy.

Travis explains how Ambient is building a decentralized marketplace for AI inference, matching demand with underutilized GPU capacity while verifying that users receive the exact model quality they paid for. They also explore the risks of building on closed AI infrastructure, China’s growing advantage in open-source models, and why OpenAI and Anthropic may be creating long-term distrust among their own customers.

The conversation also goes deeper into what would happen if OpenAI achieved AGI first, why prompt injection remains one of AI’s most important unsolved problems, and how the current AI infrastructure spending boom could eventually trigger a broader funding shock or AI winter.

Timestamps

00:00 Intro
03:20 What Ambient Is and How It Works
18:40 Verified AI Inference
40:20 China and the Open-Source AI Race
49:00 Why Closed AI Is Making a Mistake
1:03:00 What Happens If OpenAI Reaches AGI?
1:17:10 The AI Bubble and a Possible AI Winter

Tommy: https://x.com/Shaughnessy119
Travis: https://x.com/IridiumEagle

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