There are no new ideas in AI, only new datasets

The article presents a provocative claim about the state of AI, suggesting that progress is driven primarily by the availability of larger and more diverse datasets rather than novel algorithmic breakthroughs. This perspective challenges the common narrative of rapid innovation in AI and highlights the importance of data curation and acquisition.

• •Data is the primary driver of progress in AI.
• •Algorithmic innovation may be secondary to dataset improvements.
• •Focus on data curation and acquisition is crucial for AI development.