Sam Blechman, BS

"A set of fundamental concepts in statistics and machine learning can be traced back to a deceptively simple 2x2 table: the confusion matrix. Despite its simplicity, the confusion matrix is a powerful tool that appears in two key domains of statistics: binary classification and hypothesis testing. In both cases, it serves a similar function: it measures how often and in what direction we are incorrect."

"Developed by researchers at Google DeepMind and Isomorphic Labs, AlphaFold3 improved upon its predecessors by modeling protein-ligand interactions at far greater accuracy than previous technologies, among other things. But instead of being met with universal acclaim, the article left a bad taste in the mouths of many within the scientific community."