A post argues that real technical limitations need not be fundamental barriers to AI progress. It sees a model that provides reliable fraud probabilities as a useful building block, while predicting that frontier agents will increasingly design, code, deploy, evaluate and improve workflows using specialized models such as Jev. It also expects uneven automation across the economy, with the most automation in the AI stack—including AI research, chips, datacenters, energy and manufacturing.