K2 Thinking再炸场，杨植麟凌晨回答了21个问题

Core Insights - The K2 Thinking model, developed by Kimi, has gained significant attention following its release, showcasing advancements in AI model architecture and performance [1][2][8] - The model features a sparse mixture of experts (MoE) architecture with 1 trillion parameters, making it one of the largest open-source models available [7][8] - K2 Thinking has demonstrated superior performance in various benchmark tests, outperforming competitors like GPT-5 in specific tasks [8][9] Group 1: Model Features and Performance - K2 Thinking is designed to enhance task execution capabilities, focusing on agentic abilities rather than just conversational skills [12][18] - The model's training cost has been a topic of discussion, with the co-founder clarifying that the reported $4.6 million is not an official figure and is difficult to quantify due to the research and experimental components involved [18][24] - K2 Thinking's output cost is significantly lower than that of GPT-5, priced at $2.5 per million tokens, which is one-fourth of GPT-5's cost [8] Group 2: Community Engagement and Feedback - The Kimi team engaged with the developer community through an AMA session on Reddit, receiving numerous questions and positive feedback regarding the model's capabilities and open-source approach [2][10] - Developers expressed a desire for smaller versions of K2 Thinking to be deployed in PC environments or enterprise settings, indicating strong interest in practical applications [2][10] - The community's enthusiasm reflects a growing trend in the domestic AI model landscape, with multiple companies releasing competitive models in a short timeframe [9][18] Group 3: Technical Innovations and Future Directions - K2 Thinking incorporates innovative techniques such as INT4 quantization and a focus on long reasoning chains, allowing it to perform complex tasks with multiple tool calls [12][14][35] - The Kimi team is exploring advancements in other modalities, such as visual understanding, although timelines for these developments may be extended [17] - Future iterations, including K3, are expected to incorporate significant architectural changes and new features, with a focus on enhancing model capabilities [40][43]