(Image source: Unsplash)
AsianFin– As DeepSeek ignites global enthusiasm for next-generation AI models, China is solidifying its leadership in AI foundational research and industrial development.
Latest figures from CCTV show that as of April 9, 2025, China had filed 1.5764 million AI-related patent applications—accounting for 38.58% of the global total—securing the top global ranking. Simultaneously, China has fostered over 400 national-level "Little Giant" enterprises specializing in AI, representing roughly one-tenth of the global AI industry scale. A full-stack AI industrial system has taken shape, spanning foundational, framework, model, and application layers.
Meanwhile, the 2025 AI Index Report, released by Stanford HAI under the leadership of Fei-Fei Li, shows AI patent filings have surged from 3,833 in 2010 to 122,511 in 2023. In 2024 alone, filings jumped by nearly 30%. China holds 69.7% of the world's authorized AI patents, though South Korea and Luxembourg outperform on a per capita basis.
At the International Conference on Learning Representations (ICLR) 2025 in Singapore, a joint team from Alibaba DAMO Academy (Lakeside Lab), National University of Singapore, and Tsinghua University unveiled a new open-source visual generation framework, DyDiT. The innovation intelligently allocates resources across time steps and spatial regions, cutting inference computational demand by 51% and boosting generation speed by 1.73x over the standard DiT model.
The conference featured key figures from Google DeepMind, Microsoft, Meta, UC Berkeley, the University of Science and Technology of China, and AI luminaries like Geoffrey Hinton and Yann LeCun. Research achievements presented rivaled the impact of ChatGPT, highlighting the continued dynamism of the large model race.
The ICLR 2025 saw 122 workshop proposals—a 1.18x increase from last year—with 40 accepted, doubling 2024's number. High-profile participants included Stanford’s Danqi Chen, UC Berkeley’s Dawn Song, and Tsinghua's "Yao Class" alumni.
Driven by DeepSeek's global rise, competition among large model developers remains intense. Public data shows 49 new large models launched in Q4 2024 and 55 more in Q1 2025, with some weeks witnessing eight releases.
Alibaba DAMO Academy remains a major player, with 13 papers accepted at ICLR 2025 across video generation, NLP, medical AI, and genetic intelligence. Notably, the DyDiT framework addresses inefficiencies in the popular DiT architecture used by models like Stable Diffusion 3 and Sora.
By enabling adaptive computational adjustments during visual generation, DyDiT dramatically reduces redundancy and waste. The training and inference code is open-sourced, with plans to integrate DyDiT into more text-to-image and text-to-video models, such as Dy-FLUX based on FLUX.
StepAI, another Chinese AI player, had four papers accepted at ICLR, focusing on video MLLMs, personalized image generation, and large model supervision.
The ICLR 2025 Outstanding Papers included collaborations between Google DeepMind, Princeton, UC Berkeley, and Meta, showcasing advances in model alignment, data efficiency, and fine-tuning dynamics.
Beyond China, AI powerhouses are in flux. OpenAI's plan to transition into a Public Benefit Corporation (PBC) faces strong opposition. Geoffrey Hinton, Stuart Russell, Margaret Mitchell, and others have petitioned the U.S. Attorney General to halt the restructuring, arguing it threatens OpenAI's nonprofit mission.
Elon Musk is simultaneously ramping up his AI ambitions. His xAI Holding, merged with X, is seeking over $20 billion in fresh funding at a post-investment valuation exceeding $120 billion. Funds could help refinance X’s high-interest debts.
Meanwhile, OpenAI itself recently secured $40 billion in new funding led by SoftBank, reaching a stunning $300 billion valuation and accounting for over half of U.S. venture capital funding this year. OpenAI expects its AI agents and new products to overtake ChatGPT revenues by 2030, projecting $174 billion in sales.
Despite China's dominance in patents and research output, commercialization still lags. Only 4% of global ToB software companies valued above $10 billion are Chinese, according to Gaosheng Investment.
VC veteran Zhu Xiaohu notes that while enthusiasm around foundational models is cooling, AI application startups are booming with weekly growth rates nearing 10%. He urges startups to embrace open-source models and focus on real-world applications rather than wasting resources on model training.
ByteDance’s infrastructure team recently showcased how it uses large models to optimize system operations, saving over 1 billion RMB in three years. Meanwhile, AI unicorn Step AI launched its image editing model Step1X-Edit, claiming top open-source performance, and announced deep collaborations in automotive and smart device sectors.
As competition intensifies, experts warn that companies must integrate generative AI rapidly—or risk being left behind. Zhu summarized the fierce environment best:
"The vast ocean eventually turns into a red ocean; the dirty and exhausting work ultimately becomes the moat."
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这是新冠疫情之后伯克希尔第三次在线下举办年度股东大会,也是巴菲特第60次参与冗长的问答环节。估量本次参会人数显着攀升至4万人,重回疫情前的高位水平。
值得留意的是,巴菲特老搭档、被他称为“伯克希尔的建筑师,我的兄弟与慈父”的芒格已于上一年11月离世,享年99岁高龄。除了思念芒格,股东们更重视将满94岁的巴菲特何时宣告退休、伯克希尔的领导层继任方案,以及“后巴菲特年代”公司是否拆分或发放股息分红。
有人估量或许会是只金融股,具体来说是只银行股,因为伯克希尔上一年下半年在“银行、稳妥公司和金融股”的持仓本钱根底添加了35.9亿美元且是仅有添加的类别。例如,嘉信理财股价深受上一年初美国银职业危机的连累,与摩根士丹利都很契合巴菲特的买入标的特征。
伯克希尔具有铁路、稳妥、动力、工业和消费品等触及许多不同职业的美国国内事务,还握有约3600亿美元的巨大股市出资组合,令该公司成绩成为了解美国经济状况的共同窗口。出资者还等待巴菲特怎样阐释当美国利率与通胀双双居高不下,以及人工智能昌盛展开时的出资逻辑。
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公司现金储藏进一步添加至1890亿美元,接连多个季度创新高,一季度回购了26亿美元公司股票,同比挨近砍半但高于上一年四季度的22亿美元,还减仓近200亿美元的股票出资。
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