Guanlan Dai
@guanlan
Building @Runta, the execution layer that controls what AI agents can actually do. Prev @Cloudflare and @Kong.
加入 January 2010
478 正在關注 6.2K 粉絲
A year ago the question was which model. Now it's which harness.
Pi, Exo, Claude Code, Codex, DeepSeek Harness and 4 others. Same model, same tasks, same runtime. 360 runs, 2 billion tokens.
Pass rates: 50% to 67%.
Cost per pass: $1.05 to $18.34.
Introducing FrontierHarness Eval. 🧵
顯示更多
