China’s ByteDance discovers new scaling law that could sustain AI boom

Researchers at TikTok parent ByteDance have discovered a new scaling law governing how fast Artificial Intelligence agents can improve by performing real-world tasks, a finding that could help prolong the AI boom just as traditional development methods hit a wall.In a research paper published on Thursday, ByteDance’s Seed AI team revealed that AI agents – autonomous software that executes tasks on a human’s behalf – can double their learning speed every three months by interacting with real-world environments over extended periods.The finding comes as the global AI industry searches for new ways to improve models. For years, developers relied on feeding systems more data and computing power during initial training, but prominent industry figures – including OpenAI co-founder Andrej Karpathy – have warned that this brute-force approach cannot last forever.