AI definition: Compression-meaning Tradeoff
/Compression-meaning Tradeoff – The balance between reducing data size (compression) and preserving the original information (meaning). To manage information overload, humans group items into categories. For instance, we think of poodles and bulldogs as dogs. We balance this compression with details that set them apart: size, nose, tails, fur types, etc. On the other hand, LLMs attempt to maintain a balance between compressing information and preserving original meaning in different ways. LLMs use an aggressive compression approach, enabling them to store vast amounts of knowledge. However, it also contributes to unpredictability and failures. This tension has led many data scientists to conclude that better alignment with human cognition would result in more capable and reliable AI systems.