MSCHF introduces its new AI tool dubbed the Hot Chat 3000 to connect users with prospective interests. Before speaking to anyone at all the tool uses artificial intelligence technology to tank one's attractiveness on a scale of one to ten. The score will be able to determine who to speak to and it is based on machine learning that is trained by OpenAI. The company trained the app to generate data from two sources -- SCUT-FBP5500 and hotornot.com
MSCHF speaks about the project in a statement, noting that "Beauty standards do exist and machine learning models trained on vast amounts of data inevitably learn them. Attractivenesstest.com, for example, appears to rank images of blonde children disproportionately at the top of its attractiveness scale. Yikes."
Attractiveness AI Tool Programs
MSCHF Unveils the New Hot Chat 3000 AI Tool to Rank Attractiveness
Trend Themes
1. AI Attractiveness Ranking - The rise of AI tools and their ability to accurately rank attractiveness could disrupt the dating and relationship industry by providing users with a more objective and personalized matchmaking experience.
2. Machine Learning for Beauty Standards - The use of machine learning models for determining beauty standards opens up opportunities for disruption in the beauty and fashion industry through personalized recommendations and trend predictions based on data insights.
3. Bias in Attractiveness Ratings - The danger of existing biases in attractiveness ratings, as shown by attractivenesstest.com, presents a need for disruptive innovation in the AI industry to develop more inclusive and diverse algorithms that do not perpetuate harmful beauty standards and stereotypes.
Industry Implications
1. Dating and Relationships - The Hot Chat 3000 AI tool and similar technologies could transform the dating and relationships industry by providing users with more objective and data-driven matchmaking experiences.
2. Beauty and Fashion - The use of machine learning models for beauty standards opens up opportunities for disruption in personalized recommendations, trend predictions, and inclusive products that cater to customers' unique preferences and identities.
3. Artificial Intelligence Development - Developments in the AI industry must prioritize fairness, transparency, and inclusivity to avoid perpetuating harmful biases and stereotypes that could limit innovation and harm society.