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Matching papers

The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents

385 upvotes · 26 OCT 2026 · Weidong Tang, Ruiheng Wang, Jingxuan Zhang et al.

This paper proposes a framework called The Trinity to improve multimodal agents by recursively self-improving their capabilities. Practitioners may care because it can lead to significant performance gains in various tasks, including real-world embodied ones.

capability-driven self-improvementmultimodal agentsrecursive learninghierarchical task organizationcapability-aware harnesses

The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement

88 upvotes · 10 SEP 2026 · Yi Duan, Ying Liu, Zirui Tang et al.

This paper explores how AI systems can improve themselves in a self-sustaining way, allowing them to adapt and learn from their experiences without human intervention. Practitioners might care about this research if they're looking for ways to create more autonomous and efficient AI systems.

AI self-improvementrecursive learningautonomous systemsmeta-learningnatural language processing