316 upvotes · 15 OCT 2026 · Hanzhang Zhou, Long Li, Quyu Kong et al.
This paper develops OpenGCUA, an open-source platform for generalist computer-use agents that can interact with users through both visual and programmatic interfaces. Practitioners might care about OpenGCUA because it could lead to more efficient and flexible AI systems that can handle a wide range of tasks.
157 upvotes · 10 AUG 2026 · Mind Lab, Vin Bo, Asher Cai et al.
This paper introduces Macaron-V1, an open agent model family that enables continual learning and self-improvement in real-world environments, and explores its potential for collective intelligence. Practitioners might care about this work if they're interested in developing AI systems that can learn and adapt over time.