Kant: Expert RL will lift enterprise agent quality to 90% in years
Eiso Kant · Intelligence Isn’t Enough: Why Energy & Compute Decide the AGI Race – Eiso Kant · Nov 6, 2025 · at 34:36
Eiso Kant is co-founder and co-CEO of Poolside, an AI lab. He describes how frontier labs will deploy RL with expert human feedback to improve enterprise agent performance.
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“And I think what we'll see in the next couple of years is a lot of model companies ourselves as well. We go into these enterprises. We find high value use cases. We use our agents to get to 60 or 70% You know, of quality, and then use additional reinforcement learning with, you know, domain experts knowledge to get it to 80 or 90 or potentially even a hundred percent.”
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