BlockBeats News, May 24th. Recently, the artificial intelligence venture capital market has been heating up. In May, domestic large models such as Dark Matter and LeapStar secured over 30 billion dollars in funding. Tangram Intelligence has also attracted market attention, with companies like Vitae Dynamics and LuMing Robotics consecutively receiving funding worth billions of dollars within a week. According to some venture capital firms, in the first quarter, there were nearly 600 funding rounds in the artificial intelligence field, totaling over 110 billion dollars, a year-on-year increase of 185.4%.

After receiving funding, many AI startups have mainly invested in three key areas. Firstly, in research and development, the top large model companies are expected to invest tens of billions in R&D by 2025, far exceeding their current revenue. Secondly, in computing power, GPU purchases and cloud service rentals account for 30% to 50% of the funding amount. Thirdly, in recruiting top global talent and teams. With more investment in R&D, technology iteration is faster. By 2026, the iteration cycle of Chinese large model companies has generally been shortened to less than 3 months, and the cost of AI inference has also significantly decreased, further deepening the commercialization process. (CCTV Finance)