具身智能和AI大模型怎么结合？跨模态学习是关键

Core Insights - The core advancement of GPT-5 is its significant increase in parameters from 5 trillion in GPT-4.5 to 50 trillion, enabling breakthroughs in multimodal understanding [1] - GPT-5 has improved its capabilities in cross-modal learning by 84%, enhancing its ability to process and integrate information from multiple sensory inputs [1] - The development of a bridge between intelligent agents and large models is anticipated to initiate a new transformation in AI [1] Summary by Categories Technological Advancements - The parameter count of GPT-5 has surged to 50 trillion, marking a substantial leap from its predecessor, GPT-4.5, which had 5 trillion parameters [1] - The improvement in cross-modal learning capabilities by 84% signifies a major enhancement in the model's ability to fuse visual and tactile perceptions [1] Future Implications - The establishment of connections between intelligent agents and large models is expected to pave the way for a new era of AI innovation [1]