• Andrew Perfors – The work of creation in the age of AI

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    Meaning, authenticity, and the creative process – and why they matter

     

    https://perfors.net/blog/creation-ai/

     

    AI changes the landscape of creation, focusing on the alienation of the creator from their creation and the challenges in maintaining meaning. The author presents two significant problems:

     

    • Loss of Connection with Creation:
      • AI-assisted creation diminishes the creator’s role in the decision-making process.
      • The resulting creation lacks the personal, intentional choices that contribute to meaningful expression.
      • AI is considered a tool that, when misused, turns creation into automated button-pushing, stripping away the purpose of human expression.
    • Difficulty in Assessing Authenticity:
      • It becomes challenging to distinguish between human and AI contributions within a creation.
      • AI-generated content lacks transparency regarding the intent behind specific choices or expressions.
      • The author asserts that AI-generated content often falls short in providing the depth and authenticity required for meaningful communication.
  • Image rendering bit depth

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    The terms 8-bit, 16-bit, 16-bit float, and 32-bit refer to different data formats used to store and represent image information, as bits per pixel.

    https://en.wikipedia.org/wiki/Color_depth

    In color technology, color depth also known as bit depth, is either the number of bits used to indicate the color of a single pixel, OR the number of bits used for each color component of a single pixel.

    When referring to a pixel, the concept can be defined as bits per pixel (bpp).

    When referring to a color component, the concept can be defined as bits per component, bits per channel, bits per color (all three abbreviated bpc), and also bits per pixel component, bits per color channel or bits per sample (bps). Modern standards tend to use bits per component, but historical lower-depth systems used bits per pixel more often.

    Color depth is only one aspect of color representation, expressing the precision with which the amount of each primary can be expressed; the other aspect is how broad a range of colors can be expressed (the gamut). The definition of both color precision and gamut is accomplished with a color encoding specification which assigns a digital code value to a location in a color space.

     

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