Seek .(US:SKLTY)2025-02-08 12:50Summary of the Conference Call Company and Industry Overview - The discussion centers around DeepSake, a Chinese AI company established in July 2023, focusing on achieving General Artificial Intelligence (AGI) [1][2] - DeepSake's recent developments, particularly the release of its R1 model, are compared to leading models from OpenAI, highlighting its competitive edge in performance and cost [2][3] Key Points and Arguments - Cost Efficiency: - DeepSake's V3 model training cost is $557.6 million, significantly lower than OpenAI's GPT-3, which costs around $100 million [2][4] - The R1 model also demonstrates low training costs, with 2.2 USD per million tokens compared to OpenAI's 60 USD [4][5] - Performance Comparison: - The R1 model matches OpenAI's latest offerings in mathematical reasoning, coding, and natural language processing tasks [3][4] - DeepSake's models are noted for their high performance with significantly lower resource consumption, using 2.8 million GPU hours compared to competitors' 30.8 million GPU hours [4][5] - Market Impact: - The launch of DeepSake's models has led to a surge in daily active users, exceeding 20 million within 20 days of the app's launch [3] - The company is gaining traction among both domestic and international tech firms, indicating a shift in the AI landscape [3][6] - Investment Opportunities: - Investors are encouraged to explore sectors benefiting from DeepSake's advancements, particularly in computer software, media, and communication services [7][8] - The A-share market is expected to see significant impacts, especially in B2B applications of AI [7][8] Additional Important Insights - Open Source Advantage: - DeepSake's models are open-source, allowing users to leverage and build upon them, which is seen as a competitive advantage over proprietary models [5][6] - Sector Focus: - Key sectors to watch include software development, gaming, digital media, and communication services, which are expected to benefit from the advancements in AI technology [8][9] - Investment Strategy: - Investors are advised to diversify their portfolios and not concentrate too heavily on a single sector, especially given the volatility in tech stocks [10][11] - The importance of understanding the underlying assets in ETFs and mutual funds is emphasized to mitigate risks associated with high volatility in the tech sector [10][11] - Future Projections: - The domestic AI smartphone market is projected to reach 118 million units, with a year-on-year growth of 59.8%, while global AI PC shipments may reach 114 million units, growing by 165.5% [18][19] - Risks and Considerations: - Investors should remain cautious of the inherent risks in the tech sector, particularly regarding the maturity of technology and the potential for market fluctuations [24][25] - The need for a balanced approach to investment, considering both growth and value opportunities, is highlighted [28][29] Conclusion - The emergence of DeepSake represents a significant shift in the AI landscape, with implications for investment strategies in the tech sector. Investors are encouraged to stay informed about market trends, sector performance, and the potential for new opportunities arising from advancements in AI technology [32][33]