The Future of AI Architecture: How DeepSeek’s “Engram” Module Mimics Human Memory to Supercharge LLMs
The race for Artificial General Intelligence (AGI) has hit a bottleneck: efficiency. Standard Large Language Models (LLMs) are “computationally heavy” because they don’t know how to separate thinking from remembering. A groundbreaking research paper from Peking University and DeepSeek-AI—“Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models” (arXiv:2601.07372)—is changing the … Read more
