"The 0-10 “PSL rating” scale is named after “PUAhate Sluthate Lookism”, a list of three early incel and manosphere forums. PUAHate earned some notoriety following the 2014 Isla Vista killings, perpetrated by a 22-year-old man named Elliot Rodger, who had posted extensively about his incel beliefs on the forum. Though it and the other forums mentioned in the acronym are no longer online, they’ve been replaced with an active network of online communities where members commiserate in threads with titles like “if guns were easily accessible as in US, most of us have had gone ER or roped by now”.
All of the outputs of the chatbot are peppered with jargon from these forums, like “mogging” (dominating another person in terms of looks, status, and the other characteristics these men believe women prioritize most strongly), “hardmaxxing” (medical interventions like plastic surgery and hormone therapy), “softmaxxing” (less invasive improvements to a person’s attractiveness, such as grooming, fitness training, or practices like mewing), and “SMV” (“sexual market value”, a pseudo-economic ranking of a person’s attractiveness).
Some of the feedback is explicitly racist, with the chatbot identifying one set of photos as “Low Normie / High Subhuman Borderline (White)” and offering to explain “how and why being White (Caucasoid) helps in the context of PSL rating and SMV classification”."
https://www.citationneeded.news/openai-incel-chatbot-subhuman-men/
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"Unlike today’s chatbots, which generate answers statistically based on training data gleaned from the internet, all of SmarterChild’s responses were written by humans, or what Kay calls “curated.” This meant that SmarterChild would not give false, dangerous, or otherwise problematic answers."
https://medium.com/chmcore/smarterchild-a-chatbot-buddy-from-2001-10ca4ee03ab9
Decades before #Siri and #ChatGPT, #chatbots like SmarterChild were popular with Internet users passing the time with “inane chat”. Learn more from technology historian Hanen Hsu of the Computer History Museum: https://medium.com/chmcore/smarterchild-a-chatbot-buddy-from-2001-10ca4ee03ab9
Tech Xplore: Dark LLMs: It’s still easy to trick most AI chatbots into providing harmful information, study finds. “A group of AI researchers at Ben Gurion University of the Negev, in Israel, has found that despite efforts by large language model (LLM) makers, most commonly available chatbots are still easily tricked into generating harmful and sometimes illegal information.”