Research POV: Yes, AGI Can Happen – A Computational Perspective
Published:Dec 17, 2025 00:00
•1 min read
•Together AI
Analysis
This article from Together AI highlights a perspective on the feasibility of Artificial General Intelligence (AGI). Dan Fu, VP of Kernels, argues against the notion of a hardware bottleneck, suggesting that current chips are underutilized. He proposes that improved software-hardware co-design is the key to achieving significant performance gains. The article's focus is on computational efficiency and the potential for optimization rather than fundamental hardware limitations. This viewpoint is crucial as the AI field progresses, emphasizing the importance of software innovation alongside hardware advancements.
Key Takeaways
- •The article challenges the idea of a hardware bottleneck in AI development.
- •It emphasizes the importance of software-hardware co-design for performance gains.
- •The focus is on optimizing existing hardware rather than solely relying on new hardware.
Reference
“Dan Fu argues that we are vastly underutilizing current chips and that better software-hardware co-design will unlock the next order of magnitude in performance.”