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Sutskever to @NewYorker: "If you train a system which predicts the next word well enough, then it ought to understand"
ML fans when I show GPT-2 has no idea what happens as events unfold over time: GPT-2 is just system for predicting next words; not fair to ask it to understand.
And anyone remember what the U in the GLUE benchmark stands for? [Generalized Language Understanding Evaluation]
On this point I'd just say it's a particular term used in the field for a specific thing. When people say 'Computer Vision' to refer to an endeavour in AI they don't mean to claim their model has human level vision (which incidentally is worse that hawk level vision etc etc)
Don't bother with namings. The L in ML also stands for learning but none is there.
An unconditioned language model isn’t worth much. It’s just a parrot. The conditioning is where the understanding needs to come in
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