definition
He frames supervised learning as query-response optimization that can be technically simple (input-to-output fitting) but opaque at high complexity, undermining semantic interpretation of outputs.
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Model Capability
He frames supervised learning as query-response optimization that can be technically simple (input-to-output fitting) but opaque at high complexity, undermining semantic interpretation of outputs.
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Transcript
"have you guys have to understand this idea there's nothing truthful about what um chat to be says all it's trying to do is..."
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"trying to figure out what the weighting is and I could try to play play by myself like say one percent two percent five..."
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"understand um how this works is I'm trying to turn each face into a distinct mathematical model all right that is unique to it..."
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Relevant Lectures And Readings
Reading
The lecture starts by warning against overconfident certainty, then rewires from literary method to a hard model of AI: today’s systems are pattern-fitters optimized for compliance, so power becomes control over what counts as...
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