Subject
2 entries
Stem
Bookmarks
Solving Quantitative Reasoning Problems with Language Models (Minerva)
Lewkowycz et al. at Google Research introduce Minerva, a language model pretrained on general text and further trained on technical content that achieves state-of-the-art on quantitative reasoning benchmarks without external tools. It correctly answers nearly a third of undergraduate-level science problems — an early proof that domain-specific pretraining unlocks STEM reasoning at scale.
U.S. Pushes for More Scientists, But the Jobs Aren't There
Washington Post investigation into the mismatch between US policy pushing STEM education and the actual job market for scientists — showing a structural oversupply of PhD scientists relative to tenure-track positions and industry demand. A counternarrative to the 'STEM shortage' framing that dominated 2012 policy discourse.