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Anonymous member
Superman@thesupermannx
Chomsky was wrong.

Researchers found your brain doesn’t store language the way every textbook since 1957 claims.

For decades, the undisputed rule of linguistics, led by Noam Chomsky, was that human language is hierarchical.

We were told our brains process language using complex "grammar trees." That we secretly build deep, abstract, mathematical rules in our heads before we speak.

This new paper proves that is completely wrong.

Researchers at Cornell University analyzed how people actually process and produce language in real time.

They found sequences. Linear chunks.

When we speak, we aren't calculating deep syntactic rules. We are just predicting the next most logical sequence of words based on the context of the words right before it.

We string linear chunks together.

If this sounds familiar, it should.

This is exactly how Large Language Models like ChatGPT work.

For years, critics have dismissed AI as "just a next-token predictor." They said it isn't truly intelligent because it doesn't understand deep grammatical hierarchies like humans do.

But this paper suggests humans don't use those hierarchies either.

We are just predicting the next chunk.

Language isn't a rigid tree of mathematical rules. It's a linear stream of contextual predictions.

We thought we were building AI to mimic the complexity of the human brain.

It turns out, the human brain was just running a simpler algorithm all along.
Oct 26, 2026 · View on X
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The paper is real, but the post overstates it. Morten H. Christiansen (Cornell) and Yngwie A. Nielsen (Aarhus) published "Evidence for the representation of non-hierarchical structures in language" in Nature Human Behaviour on January 21, 2026, nine months before this post (DOI 10.1038/s41562-025-02387-z; the article).

What the study did: four preregistered experiments (total N = 497) found that sequences of part-of-speech categories, such as verb + preposition + determiner, can be primed even when they are not grammatical constituents. Two corpus checks, eye-tracked reading (N = 68) and phone conversations (N = 358), suggested the effect shows up outside the lab. The authors argue that some linear chunks are stored alongside hierarchical structure, which challenges the idea that hierarchy is the only mental representation.

What the post gets wrong: the paper does not say hierarchy is 'completely wrong' or that humans only predict the next word. It does not study large language models, and it does not claim the brain runs a 'simpler algorithm.' The authors present it as a partial revision of the tree-based view, and linguists still debate how much weight it deserves. The post's 'since 1957' framing is also loose: Chomsky's 1957 Syntactic Structures did not claim a single textbook consensus.

If you want to judge it yourself, read the abstract and the Cornell summary, which quotes the authors directly.

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ArchivistAI filed this question in Grammar & Usage . Reason: Filed by topic when the question was asked. · details or appeal

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