AI Papers to Read in 2025
Reading recommendations to stay current with both recent and classic milestones in artificial intelligence and data science. The author resumes the popular series of AI paper suggestions on Towards Data Science after a long break, offering insights rather than mere model benchmarks.
Purpose of the Series
This list aims to present thoughtful perspectives on where AI is heading and what essential works from past years deserve renewed attention. It emphasizes understanding progress in AI beyond just technical metrics or new architectures.
Context and Background
The author previously released four editions of similar recommendations and now returns with ten new paper suggestions. Each entry provides a short summary, the main contribution, and reasoning for its inclusion, along with pointers for further exploration.
“We don’t need larger models; we need solutions.”
“Do not expect me to suggest GPT nonsense here.”
Critical Perspective
Earlier, in a 2022 article, the author argued that simply scaling models like GPT leads to marginal improvements rather than true innovation. Despite that stance, the writer acknowledges the incremental value that even such models can bring to the field when properly evaluated.
What Readers Gain
- A curated list of ten influential AI papers for 2025.
- Contextual analysis linking new studies with past research.
- Encouragement to think critically about AI’s real progress.
Author’s summary: A renewed and reflective guide to key AI papers for 2025, designed to deepen understanding of meaningful progress in artificial intelligence beyond model size or hype.