DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
Devdiscourse

AI’s next breakthrough will come from memory, not bigger models

Memory, as the paper describes, is the key capability that allows AI to transition from tools to agents. As language models ...
Forbes

Beyond Transformers: How Memory Architectures Are Reshaping AI

The world of AI has been moving at lightning speed, with transformer models turning our understanding of language processing, image recognition and scientific research on its head. Yet, for all the ...

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...