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The Vergecast

The future of AI might look a lot like Twitter

Sep 29, 2024
Michael Sayman, creator of the viral app SocialAI, shares insights on building a social network where users interact only with AI. He discusses the future of AI interfaces and how bots could outperform traditional social networks. Sayman reflects on user experiences and the unique comfort of engaging with personality-driven bots, suggesting a shift in social media dynamics. He also humorously explores AI's role in recommending movies and the importance of personal connections in a tech-driven world.
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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