"Attention is just a special case of <abstract math thing> so we generalized it by <neglecting the other 30 abstractions and conditions required for frontier architecture> and we found it performed <p hacking> compared to <naive baseline>"
Pangram Labs' ueaj publishes a satirical post mocking how machine learning research papers generalize the transformer attention mechanism
The parody critiques evaluation p-hacking and ignored model constraints.
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"Attention is just a special case of <abstract math thing> so we generalized it by <neglecting the other 30 abstractions and conditions required for frontier architecture> and we found it performed <p hacking> compared to <naive baseline>"