Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Skip to Content
Tech

MSCHF Hot Chat 3000

MSCHF Hot Chat 3000

MSCHF recently set the internet ablaze with the release of their outlandish Big Red Boots. The tech and style brand’s latest project is Hot Chat 3000, an AOL-style chat service that uses AI technology. The service pairs users based on “hotness,” chatters submit a photo of themselves and are ranked on a scale of 1 to 10 with 10 being the hottest. Depending on where they land, chatters can only be connected with users of the same hotness. The chat service itself is fairly low-budget but the goal, at least as MSCHF explains on its site, is to provoke conversations about the implicit biases particularly around beauty standards within machine-learning tools.