Learning Misconceptions

Jacob shares a recent experience where assumptions about neural sequence models led to unexpected outcomes. Initially convinced that their model would replicate classical learning algorithms, they discovered it was instead simplifying the task to a basic n-gram model. This realization highlights the importance of maintaining flexible assumptions in computational learning processes.