Role:
Participant - Self Simulations
Quick Facts:
∎ Explored a novel approach to personal growth using AI-driven self-simulations.
∎ Experimented with interactive self-representations using text-to-speech, speech-to-text, and photorealistic modeling.
∎ Focused on creating immersive AI experiences for self-reflection and personal insight.
∎ Engaged with top AI experts to explore innovation and ethical considerations.
At the 2024 Cal Berkeley AI Hackathon, I undertook an exploration of “self-simulations”—an AI-driven concept aimed at using technology for self-reflection and personal insight. Experimenting with advanced text-to-speech, speech-to-text, and photorealistic tools, I envisioned an interactive experience where users could engage with simulated versions of their future selves. The idea was to enable users to delve into potential life pathways and engage with personal narratives in an immersive, introspective setting. This journey into the possibilities of self-representation through AI sparked deep questions around identity, transformation, and the role of technology in personal development.
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The hackathon provided the ideal space to test these ideas with some of the most forward-thinking AI minds. Conversations revealed a shared sense of both excitement and caution around AI’s potential impact on personal growth and societal well-being. Amidst the enthusiasm, there was a consensus on the importance of responsible innovation. By exploring self-simulations, I was not only engaging with uncharted technological possibilities but also reinforcing a commitment to ethical design. This project reflects my broader vision for AI—a thoughtful integration of technology that enhances self-awareness and supports transformative personal experiences.
