China has nearly caught up with the United States in artificial intelligence capabilities. The country has almost eliminated its performance gap with the US in AI bot systems while continuing to lead the world in patents, research papers, and robot installations. The 2026 AI index report by Stanford University’s Institute for Human-Centered Artificial Intelligence released this week, found a shrinking difference in Arena scores, which measure how well large-language models perform relative to each other, between top AI bots in the US and China. In May 2023, the US’s top model, OpenAI’s GPT-4, led with more than 1,300 Arena points against China’s fewer than 1,000. By March 2026, that gap dropped to just 39 Arena points, with the top US model, Anthropic’s Claude Opus 4.6, leading China’s Dola-Seed 2.0 by only 2.7%. US vs Chinese AI models performance. Source: Arena 2026 The US still has more top AI models at 50 compared to China’s 30. But China has more publication citations than the US, making up 20.6% of AI citations in 2024 against the US’s 12.6%. China also leads the world with more than 295,000 industrial robot installations, nearly nine times the US’s 34,200. ByteDance launches AI video tool globally, excludes US ByteDance has opened up its AI video creation tool to business clients across more than 100 countries, though American companies won’t be getting access anytime soon as The Information reports. The Chinese tech company’s cloud arm, Byteplus, launched Seedance 2.0 for international customers this week, months after the product first appeared in China back in February. The delay in rolling out the service worldwide came after the tool landed ByteDance in hot water . Videos made with the AI software showing Hollywood actors and material protected by copyright spread rapidly on social networks. Disney, Warner Bros. Discovery, Paramount Skydance, and Netflix all took legal action against the company. Whether the service will ever make it to the US market remains an open question. BytePlus has added several safeguards to avoid similar problems going forward. The system now blocks users from uploading real human faces as starting material. Filters work to stop the creation of videos using content that others own the rights to. Customers who get approval can pick from a collection of more than 10,000 computer-generated people, or they can get written permission from actual individuals to use their likeness. The company also tags all AI-made videos using the C2PA standard, which marks them clearly as artificial creations. The technology works through a prepaid API on the BytePlus ModelArk platform. Users can feed in text, images, videos, or audio to make, change, or stretch out clips that run between 4 and 15 seconds. The output comes as MP4 files with resolution up to 720p. Complete technical details and programming examples sit on the API documentation page. ByteDance denies massive pay package for DeepSeek researcher ByteDance pushed back against claims this week that it offered a young DeepSeek researcher nearly RMB 100 million, roughly $14 million, per year to switch companies. Li Liang, Vice President of Douyin Group, took to Weibo on April 16 to respond to reports saying Guo Daya, a researcher born after 1995, joined ByteDance’s Seed team with the massive pay package. Li called the report “inaccurate.” According to Li, everyone hired for technical positions on the Seed team gets the same standard pay structure. That package includes cash, ByteDance stock options, and equity incentives tied to Doubao. The options take four years to fully vest, and workers don’t need to meet any special conditions to get the full benefits. US spending advantage fails to stop talent exodus The United States has spent more on AI than any other country in history. In 2025 alone, US private AI investment reached $285.9 billion, more than 23 times China’s $12.4 billion. The country hosts more AI researchers and developers than any other nation and produced 50 notable AI models last year, compared to China’s 30. Yet despite this massive financial and infrastructural advantage, the flow of AI talent to America is collapsing, the Stanford report stated. The number of AI researchers and developers moving to the US has dropped 89% since 2017, according to the Stanford report. In the last year alone, the decline accelerated by 80%. The country that built its AI advantage on attracting the world’s best minds is now recording the sharpest talent inflow decline in over a decade. There’s a middle ground between leaving money in the bank and rolling the dice in crypto. Start with this free video on decentralized finance .
84% of prediction market traders lose money![Story [IP] surges 27% as volume explodes 100%, but THIS raises risks](https://images.cryptocompare.com/news/default/ambcrypto.png "Story [IP] surges 27% as volume explodes 100%, but THIS raises risks")
