1min snip

Machine Learning Street Talk (MLST) cover image

Ben Goertzel on "Superintelligence"

Machine Learning Street Talk (MLST)

NOTE

Models Reflect Data, Not Abstract Truths

Vision generator models reveal limitations in learning abstract representations as they fail when extrapolated beyond their training data. Their inability to handle mathematical proofs correctly highlights a deficiency in abstract reasoning, as they often misinterpret basic concepts. While these models can generate creative outputs based on past styles, such as predicting future trends like Star Trek uniforms, their understanding of complex mathematical structures remains inadequate, indicating a gap between programmatic generation and true representation.

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