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G He's not correct about competing with the big boys in the long term. If we build… ytc_UgymJua0B… G Ing, I have been using several techniques with CHATGPT resulting in answers Ai d… ytc_Ugx2DkdYz… G clearly a successful rage bait. Generic out of the box free AI slop, no way he a… ytc_UgwJ1emBt… G The fetishism for "productivity" and "quality" of something as subjebtive as art… ytc_UgwVu8NQq… G 4:33 - it all changed when they started using AI to learn from exact scenarios l… ytc_UgxWPiX_1… G You just know that at some point in time an Officer is going to run across a 'So… ytc_Ugwc146bO… G AI (bass drop) is (bass drop) coming (bass drop) to (bass drop) get (bass drop)… ytc_UgzCeH9WO… G Sydney is not AIG. its but a mere chatbot. the simple question And then what? a… ytc_Ugzgp0aGF…
Comment
No, but algorithms can be. These image recognition algorithms, like the convolutional neural network or Mask R-CNN, rely on training data to understand how to detect say faces and different features. If we have a dataset that isn't trained on features of other races, like Joy said, the algorithm will not properly detect the face. This is known as overfitting your model. These algorithms can be corrected with proper datasets and will more accurately detect faces of different races. This is what she's saying. Not that physics or mathematics is biased, but rather these systems we code can unintentionally reflect bias we program into it if we fail to consider all possible use cases. This has always been true in computer science. Like making a program that can multiply numbers but that fails to recognize negative numbers. Math isn't biased against negative numbers but your program might be. To fix the "coded gaze" as she says is to be vigilant and ensure we write code that is going to work efficiently and accurately in all possible use cases.
youtube 2019-12-09T18:3… ♥ 3
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningdeontological
Policyregulate
Emotionapproval
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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