Core Concepts
OpenAI's Sora highlights the gap in generative AI between China and global leaders, prompting introspection and calls for improvement in the country's technological advancements.
Abstract
OpenAI's Sora has emphasized the disparity in generative AI capabilities between China and other global players, particularly the US. The launch of Sora has sparked discussions about China's lag in this field, leading to efforts to catch up with cutting-edge technologies. Despite local tech giants like Baidu, Tencent, and Alibaba unveiling their own large language models (LLMs), they struggle to match Sora due to differences in architecture and quality. The limited access to OpenAI's model poses a significant challenge for Chinese developers, prompting them to consider alternative strategies for advancement. The scarcity of quality data, talent, hardware restrictions, and geopolitical tensions further compound China's challenges in competing on a global scale.
Stats
Recent developments in generative AI have made China appear behind once again.
OpenAI’s text-to-video model Sora serves as a warning sign for China regarding its technological gap.
Xie estimated that Sora might have around 3 billion parameters.
A group of researchers launched VBench to evaluate video generation models' performance.
Lu Yanxia mentioned that Chinese tech giants will roll out similar services soon.
Quotes
"It cools down the heads of many people, forcing us to see the gap with leaders overseas." - Zhou Hongyi
"Data is likely the most critical factor for Sora’s success." - Xie at New York University
"Would Chinese companies rather just follow suit and crank out rip-offs every time their US peers come up with a novel product?" - Wang Shuyi