DeepSeek has unveiled a new optical character recognition (OCR) model that significantly enhances AI's memory capabilities. This model employs innovative techniques to store and retrieve information more efficiently by using visual tokens rather than traditional text tokens. This approach not only mitigates the issue of 'context rot'—where AI forgets information during lengthy interactions—but also reduces the computational resources required, thereby lowering the carbon footprint associated with AI operations. The model is capable of generating over 200,000 pages of training data daily, which could help alleviate the current shortage of quality text for AI training. Experts in the field, including Andrej Karpathy, have praised the potential of this model, suggesting that visual tokens may be more effective than text for AI inputs. The research opens new avenues for improving AI memory and reasoning, with future studies anticipated to explore dynamic memory fading similar to human recall.