The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740
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Jul 22, 2025 
Jared Quincy Davis, Founder and CEO at Foundry and a former DeepMind core deep learning team member, discusses transformative 'compound AI systems' that merge diverse AI models for superior performance. He introduces 'laconic decoding' and explains how these systems can boost efficiency while cutting costs. The conversation covers the interplay between AI algorithms and cloud infrastructure, the evolution of ensemble models, and the potential of hybrid systems. Davis emphasizes co-design and innovative strategies to revolutionize the AI landscape and enhance developer experience.
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Replicating Models Boosts Performance
- Jared shares how replicating a reasoning model 10 times and returning the fastest correct answer improves speed, accuracy, and potentially cost.
- This simple method pushes the Pareto frontier without needing new model training or huge expenses.
Compound Systems Boost Accuracy
- Jared explains that composing multiple calls to frontier models in compound systems can yield over 9% improvement on hard, verifiable benchmarks.
- Such systems can push performance almost arbitrarily far given many parallel calls and a good verifier.
AI Model Ecosystem Diversification
- The AI model ecosystem has diversified with large differences in cost and capability between providers and models.
- This dispersion opens up rich opportunities for routing and composing models to optimize performance and cost.