Argon 换 Harness 后 FrontierCS 2 反超 GPT-6 Astra
同一模型同一基准，Pi Harness 的拒答分支误杀 10/48 任务；换 Antigravity 后 Argon 54%，Astra 44%，Opus 5.5 58%。
Gemini may have been losing to a bug, not to GPT-6 Astra. Same model. Same benchmark. Change the harness, and Argon jumps from 40% to 54%. Here's what happened: Pi Harness was prematurely killing runs when certain fallback or refusal paths were triggered. That affected 10 out of 48 tasks. Google reran Argon with its Antigravity Harness. The result? → Argon: 54% → GPT-6 Astra: 44% → Claude Opus 5.5: 58% Suddenly, the model everyone thought was trailing Astra is just 4 points behind Opus. Let that sink in. We've spent so much time arguing about which model is smarter, but the agent framework running it can swing the result by 14 points. If a benchmark doesn't tell you which harness was used, are you even comparing the models fairly? #chatgpt #Google #Claude #Gemini https://x.com/wenhaocha1/status/2114559544156205413/video/1