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Culture19:53 · 53m ago

AI Trend Transforms Users into 1980s Versions Online

MaarivCenter
Translated & summarized from Maariv by baba
The story · English

A new artificial intelligence trend is sweeping social media, transforming users into stylized versions of themselves from the 1980s. The phenomenon involves uploading a current photo to AI tools, primarily ChatGPT, which then generates an image with 1980s aesthetics, including hairstyles, clothing, accessories, dramatic lighting, and film-like graininess, while attempting to preserve the user's facial features.

The trend has rapidly spread globally, with early prominent examples appearing in Brazil around September 8th, where "Add Yours" chains on Instagram featured the "How I would look in the 80s" concept. The Brazilian ChatGPT account also shared prompts to facilitate image creation. The trend quickly transcended borders, with Greece reporting widespread participation, including the national football team, and India seeing politicians, media figures, and athletes join in. Notable participants included Indian minister Piyush Goyal, who posted his 80s AI version, and Shashi Tharoor, who shared an actual photo of himself from the era.

Experts suggest the 1980s are visually ideal for AI due to their easily recognizable elements like big hair, bold colors, shoulder pads, and distinct fashion. Beyond the visual appeal, the trend offers users a unique form of escapism, allowing them to imagine alternative pasts and personal styles, whether as a pop star or a disco-goer. This taps into a new kind of nostalgia, not for personal memories, but for a romanticized or imagined version of the past.

The timing of the trend's surge in Israel, just before Rosh Hashanah, aligns with a period of reflection and looking back. However, instead of summarizing the past year, the AI technology enables users to project themselves into a completely different era. This viral use of AI, typically associated with the future, paradoxically serves to revisit the past, making 1986 the current digital destination for many.

Read the original at Maariv
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