Core Insights - The article emphasizes that the capabilities of Li Auto's MindGPT 3.1 are significantly underestimated, highlighting three main anchors of value [1] - MindGPT 3.1's ASPO incorporates innovative optimizations from DeepSeek R1's GRPO, showcasing Li Auto's ability to rapidly learn and internalize the best practices in AI [1][8] - There is a lack of in-depth discussion about Li Auto's technology in the information ecosystem, indicating a potential undervaluation of its advancements [1] Performance Metrics - MindGPT 3.1 is a fast reasoning language model, achieving speeds of up to 200 tokens per second, nearly five times faster than MindGPT 3.0, which is a significant improvement compared to GPT-4's maximum of 79.87 tokens per second [2][4] - The model shows notable enhancements in tool invocation accuracy, complex task completion rates, and response richness compared to its predecessor [4] Benchmarking Results - MindGPT 3.1 outperforms other models in various benchmark tests, achieving high scores in both deep and non-deep thinking modes across multiple assessments [4][5] - In deep thinking mode, MindGPT 3.1 scored 0.8625 in AIME 2024, indicating strong performance relative to competitors [4] Learning Methodology - The ASPO method addresses the issue of data sampling precision, focusing on filtering low-quality learning signals to enhance model training [8][9] - Unlike GRPO, which operates at the output stage, ASPO manages the training pool at the input stage, ensuring that only samples that match the model's capability are used [8][9] Strategic Focus - Li Auto's leadership emphasizes that the primary focus is on enhancing model capabilities rather than artificially inflating benchmark scores, which they consider a waste of resources [5][6] - The company is committed to improving user experience by reducing reasoning time and enhancing the overall quality of responses from the model [5] Collaborative Initiatives - Li Auto has initiated a joint fund with local scientific committees to engage with academic professionals, aiming to gather the latest research insights without specific deliverable requirements [10]