338 upvotes · 27 JUL 2026 · Kimi Team, Tongtong Bai, Yifan Bai et al.
This paper introduces Kimi K3, a large-scale, open-source AI model that achieves state-of-the-art performance on a range of tasks, including vision and coding, and is designed to be more efficient and scalable than previous models, making it a promising candidate for real-world applications.
142 upvotes · 23 JUL 2026 · Shuqi Lu, Chaofan Li, Kun Luo et al.
This paper introduces AREX, a self-improving agent that recursively refines its answers by verifying intermediate results and using the partially verified state to guide subsequent refinement, aiming to improve the efficiency of deep research. Practitioners might care about AREX's approach to reducing the cost of discovery and verification in complex research tasks.
56 upvotes · 10 SEP 2026 · Junyao Yang, Yucheng Shi, Zhongzhi Li et al.
This paper introduces a new AI model called T1, which uses reinforcement learning to perform long-term tasks such as coding and scientific discovery. Practitioners may care about this model because it can perform better than existing models on long-term tasks.