Coding apps are benefitting from billions of easily measurable tests, which can train them to produce workable code. This is reinforcement learning (RL), arguably the biggest driver of AI progress over the past six months and getting more intricate all the time.
As the industry relies increasingly on reinforcement learning to improve products, we’re seeing a real difference between capabilities that can be automatically graded and the ones that can’t. RL-friendly skills like bug-fixing and competitive math are getting better fast, while skills like writing make only incremental progress.
In short, there’s a reinforcement gap — and it’s becoming one of the most important factors for what AI systems can and can’t do.
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