The article explores the concept of treating text as images to improve the efficiency of language models, inspired by a recent paper on optical character recognition (OCR). It discusses the potential benefits of "optical compression," which suggests that models could process text more effectively by converting it into image format, potentially allowing for a denser representation of information. The author speculates that this approach may align more closely with human cognitive processes of text consumption.