Leaky AI Safety Pipeline
independent ai safety researcher identifies bottlenecks in the fellowship pipeline and advocates for peer collaboration over solo work to increase research output.
an independent researcher published a paper accepted at acns 2026, highlighting inefficiencies in the ai safety research pipeline. they note that while fellowships like mats exist, mentor shortages create a bottleneck preventing aspiring researchers from becoming productive. the author critiques solo research approaches and warns that over-reliance on llms can reinforce flawed reasoning. instead, they advocate for a scalable, high-collaboration model where peers support each other to bridge the gap between learning frameworks and producing peer-reviewed contributions.