ByteDance discovers new scaling law: AI agents get smarter with real-world use

ByteDance Seed researchers found that AI agents improve predictably over time, with learning speed doubling every three months. The EdgeBench benchmark analyzed 38,000 hours of agent interactions across 134 real-world tasks. This post-deployment scaling law offers a new path as pre-training scaling faces diminishing returns.