蚂蚁灵波一周“四连发”，“卷”向具身智能基座开源

Core Viewpoint - The development of embodied intelligence is facing challenges in transitioning from laboratory settings to various industries, with Ant Group's Lingbo Technology making significant strides by open-sourcing multiple large models to enhance industry influence and application [1][4]. Group 1: Model Developments - Ant Group's Lingbo Technology has open-sourced four large models, including LingBot-VA, which integrates large-scale video generation with robot control to enable real-time action prediction [1]. - The LingBot-Depth model, developed in collaboration with Orbbec, addresses visual challenges for robots, allowing them to accurately grasp transparent and reflective objects [2]. - LingBot-VLA is the first foundational model for embodied intelligence from Ant, achieving cross-domain and cross-task generalization capabilities, facilitating scalable applications of "one brain, multiple machines" [2]. - LingBot-World creates high-fidelity, interactive virtual training environments for applications in embodied intelligence, autonomous driving, and game development, claiming to match Google Genie 3 on several key metrics [2]. Group 2: Strategic Implications - Ant Group's open-source strategy in large models mirrors its approach in the embodied intelligence sector, aiming to establish industry leadership through Lingbo Technology [4]. - The open-sourcing of LingBot-VLA includes a comprehensive codebase for data processing, efficient fine-tuning, and automated evaluation, potentially reducing developers' training cycles and costs [4]. - The CEO of Lingbo Technology emphasized that the efficiency of foundational models is crucial for the widespread application of embodied intelligence, which will accelerate the arrival of Artificial General Intelligence (AGI) [4]. - The competition in the embodied intelligence industry is expected to evolve from "technical positioning" to a focus on full-stack capabilities and ecosystem collaboration [4].