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Joined 2 years ago
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Cake day: November 8th, 2022

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  • I’d like all ai service to publish the energy used in training the model and performing inference.

    “Queries uses an average of X kWh of power. A model training run requires X MWh, and the development of this model over the years required X TWh of power.”

    Then we could judge companies by that metric. Off course, rich people would look for the most power-draining model for the sake of it.














  • I don’t know a lot about DNA, but i know about facial recognition.

    Facial recognition is highly inaccurate. It would be easy for people from the same country to “match” at facial recognition despite being totally unrelated.

    If “face generation from DNA” is only roughly accurate (ex: nose size or skin tone), then anybody from the same ethnic origin could be a match. Basically, the more you look like the “average person”, the more likely you would fit the generated face.

    Doesn’t it sound a lot like technology-enabled profiling?