TITANS + MIRAS: HELPING AI HAVE LONG-TERM MEMORY

Summary from the TLDR AI newsletter

Google Research has released two new papers introducing an architecture (Titans) and a theoretical blueprint (MIRAS) that combine the speed of recurrent neural networks with the accuracy of transformers. Together, Titans and MIRAS advance the concept of test-time memorization, the ability of an AI model to maintain long-term memory. They introduce a meaningful shift toward real-time adaptation. The architecture actively learns and updates its own parameters as data streams in, enabling the model to incorporate new, specific details into its core knowledge instantly.