\nObserving the VoV token, the ‘Reader’ recognized words. Considering the freshly neuro-designed VoV models, the Reader explore them to figure out what similarities could be found between VoV characters and Chinese calligraphy, between symbols and ideograms. The result is a series of keywords that as extensions of the original value, work like semantic harmonics (in comparison with musical harmonics that nuance the sound of the fundamental value…<\/span><\/p>\n
The Interpreters try to make sense of it. Interpreters are not neutral, they have biases. An ‘AI visual interpreter’ with a strong art bias will suggest images out of the words provided by the R<\/span>eader. An ‘AI textual interpreter’, with a strong marketing bias, provides the subtitles, trying to sell values as commercial products. They follow their path and meet on the screen without collusion.<\/span><\/p>\n Machines try to understand humans that strive to understand machines.<\/span><\/p>\n AI Software: Sam Chan + different off-the-shelf AI visual and textual tools.<\/span><\/span><\/p>\n![\"\"](\"https:\/\/benayoun.com\/wp-content\/uploads\/2022\/11\/Autonomy-Interpreter-small-1.webp\")
<\/a><\/span>AUTONOMY<\/span><\/p>\n
\n<\/a><\/span>HUMOUR<\/p>\n
\nART<\/span><\/p>\n
\nBEAUTY<\/span><\/p>\n
\nINTELLIGENCE<\/span><\/p>\n