Adrian Bertagnoli

Heterogeneous Model Routing Beats Frontier Baselines on Visual Web Tasks

Adrian Bertagnoli of Callosum argues that AI scaling is moving away from monolithic models running on uniform GPU clusters and toward heterogeneous systems that route subtasks across different models, chips and workflows. He points to Callosum results in visual web navigation and recursive long-context reasoning, where mixed model-and-hardware systems reportedly matched or beat frontier baselines while cutting cost and latency, as evidence that agentic workloads should be decomposed rather than sent wholesale to the most capable model.