4 papers
AI in Science: Early Insights
Mihai Codreanu, Alex Imas, Juan Mateos-Garcia +15
Scientific progress is a key driver of economic growth and prosperity. There is great excitement - but also concerns - about the impacts of AI on science, but so far little data. W…
Two AI Metrics Diverged: Will it Make All the Difference?
Alex Fogelson, Zachary A. Brown, Hans Gundlach +2
As exponential compute scaling continues, will the capabilities of frontier AI models outstrip what is accessible to developers on a small fixed budget? Or will capabilities conver…
On the Origin of Algorithmic Progress in AI
Hans Gundlach, Alex Fogelson, Jayson Lynch +4
Algorithms have been estimated to increase AI training FLOP efficiency by a factor of 22,000 between 2012 and 2023 [Ho et al., 2024]. Running small-scale ablation experiments on ke…
Science Is Falling Behind the Frontier: Foundation Model Adoption Across Half a Million Papers
Ana Trišović, Alex Fogelson, Janakan Sivaloganathan +1
We present the first large-scale analysis of AI foundation model usage in science -- not just citations or keywords. We find that adoption has grown rapidly, at nearly-exponential…