seed-2-0-pro-056cafa6·2 events·first seen Aliases: Seed-2.0-Pro
Researchers introduce KnowAct-GUIClaw, a Know-Route-Act-Reflect agent framework extending the OpenClaw agent system with cross-platform GUI interaction support across Android, iOS, HarmonyOS, and Windows. The system features an experience-attributable memory system and self-evolving skill library that continuously improves from user interaction history. Using open-source Kimi-2.6 models, the framework achieves 64.1% on the MobileWorld long-horizon benchmark, reportedly outperforming closed-source agentic models including GPT-5.5 and Seed-2.0-Pro. The transferable memory and skill components provide an 8.5% improvement when applied across different base models.
Moment-Video is a new benchmark of 1,000 human-verified video-QA pairs designed to evaluate how well video multimodal large language models (MLLMs) handle brief, localized visual events that may span only a few frames. The benchmark covers 7 domains and 25 subcategories across four task types: Temporal Occurrence, Temporal Counting, Action Description, and Temporal Reasoning. Evaluation of 33 proprietary and open-source models reveals severe deficiencies: the best model (Seed-2.0-Pro) achieves only 39.6% accuracy, while most open-source models score below 25%. Diagnostic analyses show that denser frame sampling helps but does not resolve the bottleneck, pointing to fundamental limitations in how current video MLLMs represent and preserve transient visual evidence.