Researchers at the Chinese tech giant have been analysing how fast AI agents can improve by performing real-world tasks.

ByteDance Seed's EdgeBench benchmark evaluates AI agent learning over 12 to 72-hour tasks, revealing a log-sigmoid scaling law with R² of 0.998 across

Researchers at the Chinese tech giant have been analysing how fast AI agents can improve by performing real-world tasks.

ByteDance's Seed AI team found that AI agents double their learning speed every three months after deployment, introducing a new scaling law for

ByteDance researchers have identified a novel scaling law for AI agents, enabling sustained improvement in real-world tasks as traditional development approaches face limitations.