AI Papers to Read in 2025
Here are reading suggestions to help you stay current with both new and classic advancements in AI and Data Science. This list marks my return to Towards Data Science with a series of AI paper recommendations. Long-time readers might remember the four earlier editions. After a break from writing, I chose to resume this popular and enjoyable series.
This list is highly opinionated, offering perspectives and tangents to keep you informed about AI broadly. It is not a compilation of cutting-edge models but rather real insights on what to watch in the coming years and what might have been overlooked from the past. The goal is to encourage critical thinking about AI’s state.
Contents of the List
- Ten selected papers, each with a concise summary of its key contribution.
- Clear reasons explaining why each paper deserves attention.
- A dedicated further reading section for each paper, offering related tangents for deeper exploration.
Reflections on AI Models
“We don’t need larger models; we need solutions” and “do not expect me to suggest GPT nonsense here.”
This was stated in my 2022 article. At the time, I believed any new GPT model would be just a larger and slightly better version, lacking true novelty. However, credit is given where it is due.
Author’s Summary
This series offers a thoughtful selection of AI papers designed to broaden understanding and foster critical views on the field’s evolution without focusing solely on hype-driven models.