AI reinforcement learning requires a 20% to 40% task success rate
Jonathan Siddharth · Why Coding is the Fastest Path to AGI | Turing CEO Jonathan Siddharth · Jun 18, 2026 · at 12:39
Jonathan Siddharth, CEO of Turing, explains the calibration required to generate effective reinforcement learning signals for AI coding agents.
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“If you have tasks that are too easy for the model, there is no learning signal. If it is too difficult, there is no learning signal. So there is a sweet spot of complexity that you'd want the RL environments to be at. Usually like, 20 to 40%, something in that zip code, like a Goldilocks zone.”
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