AI Papers to Read in 2025

Artificial Intelligence AI Papers to Read in 2025 And Why They Matter for Anyone Working With AI Ygor Serpa Nov 5, 2025 18 min read Share Photo by Susan Q Yin on Unsplash Today, I return to TDS with my AI papers to read series. My long-term followers might recall the four previous editions ([1], [2], [3], and [4]). I’ve been away from writing for quite some time, and I couldn’t think of a better way to return than resuming my most successful series — and the one I enjoyed writing the most. For the uninitiated, this is a very opinionated list, full of perspectives and tangents, meant to keep you updated on AI as a whole. This is not a state-of-the-art models list but real insights on what to look for in the coming years and what you might have missed from the past. The goal is to help you think critically about the state of AI. In total, there are ten paper suggestions, each with a brief description of the paper’s contribution and explicit reasons why these papers are worth reading. Moreover, each has a dedicated further reading section with one or more tangents to explore.  Before we move on, back to my 2022 article, I kicked off saying “we don’t need larger models; we need solutions” and “do not expect me to suggest GPT nonsense here.” Back then, I was pretty sure I would repeat myself in the future, that a new GPT model would just be a larger and marginally better model, but far from groundbreaking. However, credit where credit is due. Since release, ChatGPT has sparked ...