Professor Jia Jiaya: Models Don't Necessarily Need to Be Large! Optimizing Neuron Connections is Also a "Key Code" for Intelligent Leaps | GAIR 2025
Published:Dec 24, 2025 02:30
•1 min read
•雷锋网
Analysis
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.
Key Takeaways
- •Neuron connections are more important than the number of neurons for AI intelligence.
- •Future AI development should focus on improving neuron connections for greater efficiency.
- •AI development should integrate continuous learning and robotic perception.
Reference
“The future development model of AI and large models will move towards a training mode combining perceptual machines and lifelong learning.”