Which is to say that no one should take their Hot Chat 3000 "hotness" score seriously. "Hot Chat 3000 very deliberately sets out to expose, visualize, exacerbate these biases," the site says. "The outputs of LLMs are a reflection of the data they were trained on," the group says, referring to large language models.
(Hot or Not was a website in the early 2000s that let people rate whether users who had submitted their pictures were "hot" or "not.") -Gabriel Whaley April 27, 2023 In addition to CLIP, the site's rating system utilizes the "Hot or Not" dataset from the website as well as the SCUT-FBP5500 dataset for facial beauty prediction. Hot Chat 3000 says that its rating system relies predominantly on CLIP, a large machine-learning model from OpenAI that has been trained to "choose the correct captions for a particular image among a number of incorrect text captions." The model itself was trained on a dataset of 400 million image-text pairs. The rating system depends on certain large language models So a user who earns a score of 5.4 will be matched with another person who scores between 5.0 and 5.9. The picture is "analyzed" and given a "hotness" rating on a scale of 1-to-10, which in turn dictates who the user can chat with.
When a user enters Hot Chat 3000, they're asked to upload a picture of themselves as electronic music hums in the background. Account icon An icon in the shape of a person's head and shoulders.
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