AI Research#World Models, AIGC, Geometric Foundation Models, Self-Supervised Learning📝 BlogAnalyzed: Jan 3, 2026 06:18
Roundtable Forum: Six Guesses on the Breakthrough Directions of "World Models" | GAIR 2025
Analysis
This article reports on a roundtable discussion at the GAIR 2025 conference, focusing on the future of "world models" in AI. The discussion involves researchers from various institutions, exploring potential breakthroughs and future research directions. Key areas of focus include geometric foundation models, self-supervised learning, and the development of 4D/5D/6D AIGC. The participants offer predictions and insights into the evolution of these technologies, highlighting the challenges and opportunities in the field.
Key Takeaways
- •Geometric foundation models, particularly those based on query-based approaches, are predicted to be a key focus in 2026.
- •Self-supervised learning for spatial intelligence is expected to see significant advancements.
- •The development of 4D/5D/6D AIGC and the exploration of controllable dimensions in AI-generated content are ongoing research areas.
Reference
“The discussion revolves around the future of "world models," with researchers offering predictions on breakthroughs in areas like geometric foundation models, self-supervised learning, and the development of 4D/5D/6D AIGC.”