The Mind-Blowing Truth: AI’s “Revolutionary” Attention Mechanism Is Just 1960s Statistics in Disguise

Author(s): MahendraMedapati

Originally published on Towards AI.

Why Your Brain and ChatGPT Use the Same 70-Year-Old Math Trick

Imagine you’re at a bustling coffee shop, trying to work on your laptop. Conversations swirl around you — someone’s breakup drama at 3 o’clock, a business pitch at 9 o’clock, clinking cups, hissing espresso machines. Suddenly, you hear your name across the room.

The article explores the connection between selective attention in the human brain and the attention mechanism used in AI language models like ChatGPT. It reveals that the foundational statistics behind these technologies date back to the 1960s, specifically the Nadaraya-Watson kernel regression method. It details how AI’s ability to prioritize information mirrors human cognitive processing and examines the implications of these similarities for both understanding and implementing attention mechanisms in modern AI systems.

Read the full blog for free on Medium.

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Published via Towards AI