From slop to non-slop: The new big AI theme is quantity

Two years ago, every argument about AI was about quality. The machines hallucinated court cases, absorbed biases from their training data, misspelled words in their own images, drew hands with six fingers, and couldn’t count the letters in strawberry. The confident claims that biases and hallucination errors were inherent to machines already sound quaint. Those
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