罕见，月之暗面杨植麟、周昕宇、吴育昕回应一切：打假460万美元、调侃OpenAI

Core Insights - The core discussion revolves around the Kimi K2 Thinking model, its training costs, performance metrics, and the company's future plans for model development and open-source strategies [1][3][13] Group 1: Kimi K2 Thinking Model - The training cost of the Kimi K2 Thinking model is rumored to be $4.6 million, but the CEO clarified that this figure is not official and that training costs are difficult to quantify due to significant research and experimental expenses [1] - The current priority for the Kimi K2 Thinking model is absolute performance rather than token efficiency, with plans to improve token usage in future iterations [3][4] - The model has shown high scores in benchmark tests like HLE, but there are concerns about the gap between its performance in tests and real-world applications [4] Group 2: Open Source and Safety - The company embraces open-source strategies, believing that open safety alignment technology can help researchers maintain safety while fine-tuning models [2][8] - The CEO emphasized the importance of establishing mechanisms to ensure that subsequent work adheres to safety protocols [2] Group 3: Future Developments - The company is exploring a visual-language version of the K2 model and has plans for the K3 model, although no specific release date has been provided [1][2] - There are discussions about expanding the context window of the Kimi K2 Thinking model, with current support for 256K tokens and potential future increases [11] Group 4: Community Engagement - The recent AMA session on Reddit highlighted the global interest in the Kimi series, reflecting a growing recognition of China's AI innovation capabilities [13] - The company is actively responding to community feedback and questions, indicating a commitment to transparency and user engagement [13]