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The Vergecast

The future of AI might look a lot like Twitter

Sep 29, 2024
Michael Sayman, the innovative creator of the SocialAI app, discusses his unique approach to social networking, where users interact solely with AI. He explains why posting to a language model could be more valuable than traditional social media. The conversation dives into the evolution of AI-driven platforms, the blending of human and AI experiences, and the appeal of personality-driven bots. Sayman also shares intriguing stories about unexpected uses of the app, illustrating the transformative potential of social AI.
55:02

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • SocialAI offers a unique social network experience where users engage exclusively with AI bots, enhancing creative discussions without human judgment.
  • Michael Sayman's background with major tech companies shapes his vision for SocialAI, aiming to refine digital interactions free from traditional social media baggage.

Deep dives

Exploring the Concept of Social AI

A notable idea presented is the concept of Social AI, an application that simulates a social network where all users, except for the individual, are bots. This creates a unique environment where interactions with AI can mimic the experience of a social network without the potential downsides of human interactions. The developer, Michael Salmon, believes this approach shifts the perception of social media by allowing users to explore ideas and receive feedback in a more controlled and less judgmental setting. This app poses questions about the future of social networking, particularly regarding the roles of AI and human communication in our digital interactions.

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