Why Chatbots Get Better When We Count Words, Not Just Rules
Ever wondered why a chatbot sometimes sounds just like a friend? Scientists have discovered that the secret isn’t hidden grammar trees but simple word‑frequency patterns.
Imagine learning a new language by listening to the most‑used phrases on the street instead of memorizing every rule in a textbook.
That’s the fresh view brought by linguist Witold Mańczak, who says language is really the sum of everything we say and write, driven by how often we use each piece.
Applying this idea to modern language models means we can build smarter, more natural‑talking AI by focusing on the everyday words people actually use.
It’s like teaching a robot to speak by giving it a playlist of popular songs rather than a dense grammar manual.
This breakthrough helps us design, test, and understand AI chatters in a way that feels more human and less mysterious.
As we keep counting the words we love, the future of conversation with machines becomes clearer and more exciting.
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