Glossary
Pattern-weight system used by modern machine learning; rhetorically framed here as mystified technical naming.
Topic brief
A Jiang Lens evidence brief for this topic, built from source tags, transcript matches, and linked source refs.
neural network
A transcript-matched topic anchored by excerpts such as "...it sound very fancy. Okay? So the weights is now called neural network. Okay? Um the back learning back propagation is called deep learning..."
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Topic Scope And Freshness
A transcript-matched topic anchored by excerpts such as "...it sound very fancy. Okay? So the weights is now called neural network. Okay? Um the back learning back propagation is called deep learning..."
Key Notes
definition
Jiang says current AI does nothing beyond backpropagation and neural-network weight adjustment, even when the field gives those mechanisms grander names.
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Timestamped Evidence
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"...it sound very fancy. Okay? So the weights is now called neural network. Okay? Um the back learning back propagation is called deep learning..."
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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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"...do I give it this weighting system I call it a neural network guys it's a brain it's magic okay and back propagation I..."
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"Neural networks have shown, for example, that they can be unreliable and unpredictable. As statistical pattern matches, they sometimes hold in an oddly specific..."
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"The idea of the black box is that weighted system, the neural network. Humans don't actually know what's going on in there, because it's..."
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"...differentiate each face from each other? And then I create a neural network and a neural network is basically just like the weighting of..."
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Relevant Lectures And Readings
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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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