<ul><li>Memory is a fundamental mental process essential for human learning, without which basic reflexes and behaviors would dominate.</li><li>Current AI models exhibit a broken memory system, requiring every word to interact with every other word in a sentence, leading to inefficiencies.</li><li>The quadratic computational complexity of AI attention mechanisms poses significant limitations as sequence length increases, hindering efficient processing.</li><li>The existing AI design flaw contradicts human cognitive processes, where individuals do not consciously analyze every past thought while reading.</li></ul>

Transformer Titans Architecture: Reimagining Attention from Fundamentals

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