The chapter discusses how notebooks are used in academic labs for prototyping, data organization, and code sharing, focusing on eLife's innovative approach to publishing scientific papers with executable code. It also emphasizes the importance of sharing data and processing methods in neuroscience, touching on challenges like software discrepancies. Additionally, the conversation delves into continual learning in AI, neural network advancements, and the incorporation of LLMs in cognitive and neuroscience labs.