When Agents Fix Themselves: The Self-Improving AI Race Is Here
A new framework lets AI agents rewrite their own operating rules, boosting performance by up to 60%. With DeepSeek, NVIDIA, and Tencent all rushing to deploy autonomous agents, the race to build machines that improve themselves is accelerating faster than anyone expected.
Lavamgam AIJun 24, 20266 min read read
The Signal
On Monday, researchers at the Shanghai Artificial Intelligence Laboratory published a paper on Self-Harness, a framework that lets AI agents rewrite their own operating rules by analyzing their past performance. The results were hard to ignore: agents using the system boosted task completion rates by up to 60% compared to static configurations. Two days later, DeepSeek announced it was racing to expand its own "Harness team," poaching top talent to build the infrastructure that...