The Reinforcement Gap — or why some AI skills improve faster than others
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最新报道：AI coding tools like GPT-5 and Gemini 2.5 are advancing rapidly due to reinforcement learning (RL), which thrives on measurable tests like bug-fixing and competitive math. However, subjective tasks such as writing emails show slower progress, creating a "reinforcement gap." This divide is shaping AI capabilities, with RL-friendly skills automating jobs faster, while others lag. OpenAI's Sora 2 video model exemplifies how testable processes can achieve breakthroughs, highlighting RL's growing impact on startups and the economy.
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