What I Learned Watching OpenAI's Early Days & How to Build Reliable AI w/ Kyle Corbitt | E132
What if you could fully trust your AI agent—especially in high-stakes environments like customer support or voice automation? Kyle Corbitt, co-founder and CEO of OpenPipe, joined us live at Imagine AI Live 25 to explain how his company is solving exactly that. Kyle shares how OpenPipe uses open-source LLMs and reinforcement learning to make AI agents dramatically more reliable—without your proprietary data ever leaving your system. From voice agents taking restaurant orders to compliance-critical customer support tools, OpenPipe enables companies to deploy agents trained directly on their data, inside their firewalls. We also get personal—Kyle reflects on his time at Y Combinator, reporting directly to Sam Altman during OpenAI’s formative years, and what it was like to watch the AGI conversation begin from the inside. If you’re scaling with AI and want long-term control and security, this episode is a must-watch.
Key Points
- Reliability in customer support bots is crucial for regulated industries to avoid potential issues with customers and regulators.
- Open Pipe uses open source models like LAMA from Meta and Quen from Alibaba to train AI agents within a client's secure environment, ensuring data privacy.
- The rapid evolution in AI technology requires companies to continually adapt, making it essential to customize models for specific tasks to maintain competitive advantage.
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Transcript
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