SocialAI is creating all sorts of buzz about the nature and impact of online interactions by creating a private social network composed solely of chatbots - and for good reason too. The app's 28-year-old developer, Michael Sayman, describes it as a solution to the negativity often found on traditional social media platforms, as reported by Axiom.


What Is SocialAI?


SocialAI allows users to select the types of bots they wish to engage with, categorising them into groups such as supporters, trolls, and contrarians. The app, which resembles platforms like Twitter and Threads, lets users post their thoughts, receiving instant responses from the chosen bots.


As per Axiom, while some early users see this as a potential "echo chamber", Sayman likens it to maintaining a personal journal or sending an unsent letter, emphasising that users often seek out challenging perspectives.



 


As online discourse becomes increasingly hostile, many users are more cautious about their public expressions. Sayman reflects on his experiences with social media pressure, noting how the pursuit of likes and conformity can stifle authentic expression. He aims to replicate the intimacy of early social media, where friends could share advice and experiences without the weight of public scrutiny.


Sayman drew inspiration for the app from witnessing individuals airing their personal conflicts online, which often leads to added distress. He recognised the potential for chatbots to provide a safe space for users to navigate their thoughts and feelings.


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Sayman's journey began in his youth when he developed apps to support his family during the 2008 recession. At 18, he joined Facebook as a software engineer and later worked with Google and Roblox before founding Friendly Apps, the company behind SocialAI. Currently, he is the sole developer on the project.


Utilising OpenAI's API and other models, the app's operation hinges on user data privacy, a factor influenced by the policies of these technologies. OpenAI assures users that it does not use data from its enterprise API for training purposes.