He defines the three operational constraints of supervised systems as clean data, measurable objectives, and bounded parameters, and treats edge cases as a key fragility vector.
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Robustness
He defines the three operational constraints of supervised systems as clean data, measurable objectives, and bounded parameters, and treats edge cases as a key fragility vector.
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"to control the world oh to become God right what's the point of existence you live you die you have an opportunity to become..."
"Okay, you have to ask the computer, does this face match the name? Okay, you cannot ask the computer, what is God? What is..."
"And that mean damn right or intentionally trying to cause an accident or self driving car. Does that make sense? And the answers you..."
Relevant Lectures And Readings
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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