this post was submitted on 08 Jun 2025
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They aren't bullshitting because the training data is based on reality. Reality bleeds through the training data into the model. The model is a reflection of reality.
An approximation of a very small limited subset of reality with more than a 1 in 20 error rate who produces massive amounts of tokens in quick succession is a shit representation of reality which is in every way inferior to human accounts to the point of being unusable for the industries in which they are promoted.
And that Error Rate can only spike when the training data contains errors itself, which will only grow as it samples its own content.