A 22-year-old computer science student named Bryan Chiang from Stanford University had an intriguing idea earlier this year. He wondered if the same AI technology that can assist with writing essays or creating meal plans could also help individuals engage in conversations with other people.
To explore this concept, Chiang assembled a team of friends and used an augmented reality eyepiece called Brilliant Labs’ open-sourced monocle, which allows experimentation with its firmware. The eyepiece features a camera, a microphone, and an internal projector screen that displays words in front of the user’s eye.
Chiang’s creation, known as RizzGPT, operates as follows: when someone speaks to the user, RizzGPT uses the microphone to capture the conversation, converts it into text, and sends it via WiFi to OpenAI’s ChatGPT, an artificial intelligence chatbot. ChatGPT then generates a response, which appears on the small screen of the monocle after a brief delay.
Chiang explains that RizzGPT essentially utilizes AI to provide users with on-demand charisma. It actively listens to ongoing conversations and provides suggestions on what to say next.
The project aims to explore the potential of combining AI technology with real-time conversation, offering users assistance and guidance to improve their conversational skills. While RizzGPT represents an innovative approach to facilitating communication, it should be noted that it relies on pre-existing AI models and may have limitations in generating truly authentic or contextually appropriate responses.
Chiang’s experiment demonstrates the versatility of AI applications and their potential to enhance various aspects of human interaction. However, further development and refinement are necessary to ensure that AI systems like RizzGPT can effectively assist individuals in engaging in meaningful and authentic conversations.
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