AI Papers to Read in 2025
Reading recommendations to help you stay current with the most influential and insightful works in artificial intelligence and data science. The author returns to the TDS platform to continue a well-loved series of AI paper suggestions.
Background and Purpose
This is the fifth edition of the author's series of AI paper recommendations, following four earlier parts. After a pause in writing, the author chose to revive the series that has been both the most successful and personally rewarding.
About the List
The collection presents a highly opinionated yet deliberate selection of ten AI papers. Each paper is accompanied by a short explanation of its core contribution and a description of why it deserves attention. In addition, every recommendation includes further reading suggestions for deeper exploration.
Focus and Philosophy
The list is not about showing the newest or largest models but about highlighting ideas that encourage critical thinking about the direction of AI research. It looks at both modern trends and valuable insights from the past.
“We don’t need larger models; we need solutions.”
“Do not expect me to suggest GPT nonsense here.”
The author recalls these lines from a 2022 article, emphasizing the belief that progress in AI depends on smarter approaches rather than ever-expanding model sizes. Yet, the author acknowledges recent GPT developments that show meaningful improvements.
Final Note
This updated selection is meant to provoke thought, inspire curiosity, and help readers engage with the real substance of artificial intelligence research.
Author’s summary: A curated 2025 guide to ten essential AI papers designed to sharpen understanding and challenge assumptions about where the field is heading.