Social AI - is artificial intelligence based social networking the future?

Hello SundAI - our world through the lense of AI

In this episode, we explore the innovative world of SocialAI, a new iOS app that offers a unique "AI social network" tailored exclusively for one user: you.

Designed similarly to Twitter, the app SocialAI allows you to share your thoughts with a variety of AI-powered bots instead of human followers. Upon signing up, users select at least three types of followers from a diverse list of bot "types" such as "Geeks," "Nerds," "Intellectuals," "Trolls," "Liberals," "Conservatives," and "Jokers."

The types you choose shape the character of the AI-generated responses you receive, ensuring that no post ever goes unanswered or unnoticed.

The founder of SocialAI, Michael Sayman, describes the app's environment as "liberating," providing users with a space for reflection, support, and feedback where they can truly feel heard. This platform marks another venture by Sayman's company, Friendly Apps, which has previously delved into AI with projects like AI Hits, a music streaming charts website, and Cosmic, an online dating service that matches users through AI personality tests.

SocialAI is currently available as a free download without any in-app purchases, making it accessible for anyone looking to engage with this virtual echo chamber where every interaction is guaranteed.

So what do you think about these latest developments?

This podcast has been generated by the sources of:

Nyhan, B., Settle, J., Thorson, E. et al. Like-minded sources on Facebook are prevalent but not polarizing. Source

Rodilosso, E. Filter Bubbles and the Unfeeling: How AI for Social Media Can Foster Extremism and Polarization. Source.

Rose Guingrich Department of Psychology Chatbots as social companions: How people perceive consciousness, human likeness, and social health benefits in machines. Source

Disclaimer: This podcast is generated by Roger Basler de Roca (contact) by the use of AI. The voices are artificially generated and the discussion is based on public research data. I do not claim any ownership of the presented material as it is for education purpose only.