Browser-Use Is Solving the Wrong Half of the Problem
The article discusses the inefficiencies in current browser-agent models that combine reasoning and grounding tasks into a single call. By separating these tasks, a more efficient model can be created that significantly improves click accuracy and reduces costs. The author suggests that future developments will likely lead to smaller, specialized models for grounding tasks, which will change the economics of AI services.
- ▪Current browser-agent models struggle with accuracy due to combining reasoning and grounding tasks.
- ▪A new model called browserground was trained to improve click accuracy by separating these tasks, achieving a 2.5x improvement.
- ▪The author predicts that smaller models for grounding will emerge, leading to reduced costs and improved performance in AI applications.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 1138713) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } René Zander Posted on May 19 • Originally published at renezander.com Browser-Use Is Solving the Wrong Half of the Problem #discuss #opensource #ai #productivity Everyone's posting browser-agent demos this week. Click here, scroll there, fill that form. Most break by click seven. Mine broke too. The submit button on a checkout form that the frontier vision model literally couldn't see.
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