[oakfr]

This article is completely disconnected from what is happening in the machine learning community.

Granted, datasets have grown larger and larger over time. This concentration is actually a healthy sign of a community maturing and converging towards common benchmarks.

These datasets are open to all for research and have fueled considerable progress both in academia and industry.

The authors would be well-advised to look at what is happening in the community. Excerpts from the program of NeurIPS happening literally this week:

Panels: - The Consequences of Massive Scaling in Machine Learning - The Role of Benchmarks in the Scientific Progress of Machine Learning - How Copyright Shapes Your Datasets and What To Do About It - How Should a Machine Learning Researcher Think About AI Ethics?

All run by top-notch people coming from both academia and industry, and from a variety of places in the world.

I am not saying that everything is perfect, but this article paints a much darker picture than needed.