多模态大模型迎来新阶段

Summary of Key Points from Conference Call Industry Overview - The AI industry is entering a new phase with embedded applications becoming mainstream, as traditional software companies like Wanda, Google, and Microsoft integrate AI features into their products, changing market perceptions of AI deployment speed [1][3][4] - By 2025, global computing power supply issues are expected to be resolved, shifting the core challenge to demand growth [1][4] Core Insights and Arguments - Despite limited daily active user growth for native AI applications, TOKEN consumption is increasing exponentially, indicating a future supply-demand imbalance in computing power by June 2025 [1][5] - Google’s TOKEN usage has increased 50 times year-over-year, with expectations of nearly 10 times growth in the coming year [1][5] - The market's understanding of AI product promotion cycles is flawed; AI products are penetrating the market much faster than traditional industries, as evidenced by ChatGPT reaching Google’s search scale in just two years [1][7] Future Directions of AI Models - Future updates in AI models will focus on multi-modal capabilities, physical AI, and the anticipated ChatGPT 5 [1][8] - Multi-modal AI will include video understanding and generation, while physical AI will involve applications in autonomous driving, robotics, and smart glasses [1][8] Important Events and Product Launches - Key upcoming events include Apple's WWDC on June 10 and ByteDance's native ecosystem conference on June 11, which may lead to significant product updates [1][11] - Tesla is set to showcase its RoboTaxi feature on June 12, which will demonstrate autonomous driving capabilities [1][13] Hardware and Chip Companies - There is optimism regarding overseas computing power, multi-modal related chip companies, and the domestic computing industry chain [2][14] - Starshine Technology is excelling in security and home monitoring sectors and is expanding into automotive ISP chip business [2][15] Market Sentiment and Challenges - Starshine Technology's recent share reduction announcement may temporarily affect market sentiment but does not alter the positive outlook on multi-modal learning and the ISP industry [2][17] - Domestic computing faces challenges, particularly with yield issues at SMIC due to local component shortages, but recovery is expected by July [2][19] Investment Outlook - The AI industry is viewed as a long-term trend rather than a short-term investment cycle, with significant ongoing investments from major global players [2][20] - There is a strong recommendation to maintain confidence in AI, particularly in overseas computing power and domestic computing developments [2][20]