We see incredibly smart and shockingly stupid cases from modern agents in our daily research. But are they ready for complex, real-world knowledge work, and can they continually learn from it? #Fable# 5.1 and #Astra# beat human testers on @ApprenticeBench, which evaluates realistic and economically valuable accounting tasks.They can use computers, handle the long contexts needed for knowledge work, and already show real potential for continual learning. They are still slow and expensive, and continual learning is far from reliable. All other evaluated agents still fall short of best human workers in effectiveness and efficiency. With ApprenticeBench, we can differentiate among the latest agents and identify what still prevents them from doing real jobs. Check out our blog!