The Great ML Stagnation
Analysis
This article discusses the perceived stagnation in Machine Learning research, focusing on issues like academic incentives, SOTA chasing, and the influence of tech companies. It touches upon the challenges faced by researchers and the impact of these factors on innovation.
Key Takeaways
- •Academic incentives and their impact on research.
- •The role of SOTA chasing in hindering innovation.
- •The influence of tech companies on research direction.
- •Challenges faced by researchers in the current environment.
Reference
“The article discusses the recent article from Mark Saroufim called Machine Learning: the great stagnation.”