Yaxin Lu

[Yaxin Lu @YaxinLu1997]

Great work! Glad to contribute!

[Qin Ziheng @henryqin1997]

Is model scaling the only source of agent improvement?

We @henryqin1997 @YaxinLu1997 @VITAGroupUT @VictorKaiWang1 are glad to share our work: We reach 95.3% Raw Accuracy, or a $15 Frontier Run (88.8% with DeepSeek-v4-Flash, matching GPT-5.6 Sol Max), on Terminal-Bench 2.1 via Harness Scaling.

Human effort -> Non scalable ❌
Agent direction? Local optimization ❌

Human direction + agent action = better workflow control✅

StateM:
1. Open-source model + StateM -> Close-source frontier, everyone can try!
2. Training free, significantly improve frontier agents.
3. Zero-transfer-cost on same family of agents. [1/8]🧵

📄https://t.co/GjM1VOzWUN
🌐 https://t.co/KapEB3kjXr

[Qin Ziheng @henryqin1997]

Is model scaling the only source of agent improvement?

We @henryqin1997 @YaxinLu1997 @VITAGroupUT @VictorKaiWang1 are glad to share our work: We reach 95.3% Raw Accuracy, or a $15 Frontier Run (88.8% with DeepSeek-v4-Flash, matching GPT-5.6 Sol Max), on Terminal-Bench 2.1 via Harness Scaling.

Human effort -> Non scalable ❌
Agent direction? Local optimization ❌

Human direction + agent action = better workflow control✅

StateM:
1. Open-source model + StateM -> Close-source frontier, everyone can try!
2. Training free, significantly improve frontier agents.
3. Zero-transfer-cost on same family of agents. [1/8]🧵

📄https://t.co/GjM1VOzWUN
🌐 https://t.co/KapEB3kjXr