GPT — Field Evidence
paperUnverified
GPT · GPT · incident
Field note
Dual Adversarial Fine-tuning for Enhancing Robustness of Large Vision Language Model — While Large Vision-Language Models (LVLMs), represented by LLaVA and GPT-4V, have demonstrated remarkable capabilities, their visual inputs remain vulnerable to adversarial attacks, posing sign
collected 2026-07-22original 2026-07-21
Does this shift the US–China race?
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Impact on the index
Regulation · major
US -110China +30
Directional contribution — before recency decay and per-type diminishing returns. How it works →
Related Front
US vs ChinaLikely
U.S. FrontiervsChina Open-Weight
Likely — capability gap narrowing on common tasks
Letters from the Front
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