Professor Jia Jiaya: Models Don't Necessarily Need to Be Large! Optimizing Neuron Connections is Also a "Key Code" for Intelligent Leaps | GAIR 2025

This article reports on Professor Jia Jiaya's keynote speech at the GAIR 2025 conference, focusing on the idea that improving neuron connections is crucial for AI advancement, not just increasing model size. It highlights the research achievements of the Von Neumann Institute, including LongLoRA and Mini-Gemini, and emphasizes the importance of continuous learning and integrating AI with robotics. The article suggests a shift in AI development towards more efficient neural networks and real-world applications, moving beyond simply scaling up models. The piece is informative and provides insights into the future direction of AI research.