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Google's Titans Revolutionizes Real-Time Learning for AI

12/8/2025

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Summary

Story summary

Google Research introduces Titans, a neural architecture that enables real-time learning and memory updates during inference.
Titans uses a Neural Memory module to handle context windows beyond 2 million tokens and improves retrieval versus GPT-4.
The design relies on a multi-layer perceptron for memory and, with the MIRAS framework, allows efficient integration of new and old data.
This approach could transform long-context applications, such as legal and genomic analysis.

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Story summary

Google Research introduces Titans, a neural architecture that enables real-time learning and memory updates during inference.
Titans uses a Neural Memory module to handle context windows beyond 2 million tokens and improves retrieval versus GPT-4.
The design relies on a multi-layer perceptron for memory and, with the MIRAS framework, allows efficient integration of new and old data.
This approach could transform long-context applications, such as legal and genomic analysis.