Deepseek爆火之后的现状如何?

Group 1 - The core viewpoint of the article is that DeepSeek R1's disruptive pricing strategy has significantly impacted the AI market, leading to a price war that may challenge the industry's sustainability [3][4]. - DeepSeek R1 was launched on January 20, 2025, and its input/output token price is only $10, which has caused a general decline in the prices of inference models, including an over $8 drop in OpenAI's output token price [3]. - The report highlights that DeepSeek's low-cost strategy relies on high batch processing, which reduces inference computational resource usage but may compromise user experience due to increased latency and lower throughput [10]. Group 2 - Technological advancements in DeepSeek R1 include significant upgrades through reinforcement learning, resulting in improved performance, particularly in coding tasks, with accuracy rising from 70% to 87.5% [5]. - Despite a nearly 20-fold increase in usage on third-party hosting platforms, DeepSeek's self-hosted model user growth has been sluggish, indicating that users prioritize service quality and stability over price [6]. - The tokenomics of AI models involves balancing pricing and performance, with DeepSeek's strategy leading to higher latency and lower throughput compared to competitors, which may explain the slow growth in self-hosted model users [7][9]. Group 3 - DeepSeek's low-cost strategy is aimed at expanding its global influence and promoting the development of artificial general intelligence (AGI), rather than focusing on profitability or user experience [10]. - The report mentions that DeepSeek R2's delay is rumored to be related to export controls, but the impact on training capabilities appears minimal, with the latest version R1-0528 showing significant improvements [16]. - Monthly active users for DeepSeek decreased from 614.7 million in February 2025 to 436.2 million in May 2025, a decline of 29%, while competitors like ChatGPT saw a 40.6% increase in users during the same period [14].