Chinese Tech Giants Racing to Dominate AI: Tencent and Kuaishou Push Next-Gen Language Models

Kuaishou's KwaiYii has outperformed GPT-3.5.

Chinese tech giants like Tencent Holdings and Kuaishou Technology are advancing and using large language models (LLMs), which drive emerging AI technologies, as the US-China tech war intensifies.

Top leaders from key Chinese tech enterprises discussed their success during earnings season. Since OpenAI introduced its ChatGPT chatbot in 2022, Chinese IT businesses are racing to catch up to global tech leaders as artificial intelligence advances rapidly, according to SCMP.

Chinese Rivals Beat ChatGPT, Midjourney

On a post-earnings call, Kuaishou founder and CEO Cheng Yixiao announced KwaiYii LLM improvements for the largest Chinese short-video platform operator. Cheng stated that KwaiYii has outperformed GPT-3.5 and is approaching GPT-4 in several parameters.

The company believes KwaiYii might challenge GPT-4 in six months and noted that its KeTu text-to-image model outperformed Midjourney V5, an AI image-generating service from San Francisco.

Meanwhile, Tencent's Hunyuan LLM won worldwide praise. Tencent president Martin Lau Chi-ping hailed the company's emphasis on improving its AI models' text-based picture and video generation as a key goal.
Tencent also launched Follow-Your-Click, an image-to-video paradigm, alongside academic partners Hong Kong University of Science and Technology and Tsinghua University. This program adds motion to any picture using a text prompt and a mouse click.

Amid these developments, Tencent and Kuaishou are researching ways to use cutting-edge AI technology. CEO Cheng said Kuaishou wants to create generative AI models to boost content development, video quality, and production efficiency. Furthermore, KwaiYii helps Kuaishou improve automated customer support on online talent and property sales platforms.

(Photo : STR/AFP via Getty Images)
This photo taken on April 17, 2021 shows a worker checking a robot to be exported to the Middle East at the Chuangze robot factory, which manufactures the machines for the education, medical, and domestic services industries, in Zhangye in China's northwestern Gansu province.

Who's Leading in the US-China Tech War?

Former Sen. Amy Klobuchar's chief of staff, Doug Calidas, currently studies how the US-China tech rivalry competition affects American technology, politics, and policy at the Harvard Belfer Center.

As reported by Fox Business, Calidas shared his insights about the US-China tech war and its severity.He described the US's two main tactics. First, to compete, the US is aggressively investing in technology. Second, China's access to cutting-edge hardware and algorithms limits its AI advancement.

Despite major AI investments, especially following OpenAI's ChatGPT release, Calidas noticed a public sector rhetoric-action mismatch. He praised the Chips and Science Act of 2022 for boosting semiconductor production locally, but financing has fallen short due to Washington, DC, problems.

While Chinese AI development lags behind the US, Calidas noted that it has benefits, such as less rigorous civil and privacy rights allowing large data collections. He cited the US' abundant data and China's strict AI research laws, especially for generative AI.

Despite China's face recognition advancements, legislative control restricts public access to generative AI systems, creating a difficult balance for the Chinese leadership.

As the US-China tech war continues, California authorities arrested and charged former Google engineer Leon Ding (Linwei Ding) with four offenses for allegedly stealing AI secrets from Google's data centers.

TechTimes previously reported that Deputy Attorney General Lisa Monaco alleged Ding stole over 500 Google trade secrets files and worked with Chinese firms to acquire an AI edge. Ding stole Google's tensor processing unit (TPU) processor designs, essential for AI workloads, and GPU software blueprints and specifications for Google's data centers, including v4 and v6 TPU designs.

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