descriptive claim
In deep learning, methodological mistakes generally degrade performance rather than causing the method to fail completely.
Alexander Mattick · Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick · 21 Sept 2026
In their words
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“And the bad thing, or the good thing and the bad thing about deep learning is that if you do something wrong,”
“it generally doesn't just not work.”
“It just is worse performance.”Play from 54:20Report a misattribution
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