How to Build AI That Actually Delivers with Dr. Arjun Jain (Fast Code AI)

Episode notes

In this episode, Dr. Arjun Jain - Founder of Fast Code AI - reveals why the AI industry's trillion-dollar bet on bigger models is failing, and what's replacing it. Dr. Arjun Jain isn't your typical AI founder. After training under Turing Award winner Yann LeCun at NYU, working on Apple's secretive autonomous vehicle project, and leading Mercedes-Benz's robotaxi AI, he returned to India to bootstrap Fast Code AI with zero venture capital. In just two years, his company grew 8x by doing what the AI giants won't: charging for outcomes instead of software seats, deploying Small Language Models that outperform GPT-4 for specific tasks, and building agents that actually work in production. He shared this contrarian journey in this candid conversation with host Akshay Datt. From explaining why "we have but one internet and we've used it all" (quoting OpenAI's Ilya Sutskever) to revealing how procurement agents train by negotiating with themselves millions of times, this episode dismantles the AI hype and shows what enterprise automation actually looks like.

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