A Stanford Student's Smart Monocle Development with ChatGPT
A Stanford University student named Bryan Hau-Ping Chiang has recently developed a smart monocle using ChatGPT artificial intelligence and the Whisper speech recognition system from OpenAI. The smart monocle, called rizzGPT, is designed with open-source Monocle AR hardware and can recognize text, speech, faces, and process live conversations.
The compact rizzGPT gadget has the potential to become an excellent assistant in various situations. It can support conversations during a date, answer job application questions, and recommend restaurant dishes based on the user's preferences. This is due to the LifeOS system, which Chung has manually trained using personal messages, photos, and other data. The system enables the AI to recognize faces and prompt common stories from the past during conversations.
Chung admits that the rizzGPT still needs a few tweaks. Specifically, the design of the device is causing discomfort to wear, and the AI response can slow, leading to awkward pauses in the conversation.
Overall, the rizzGPT smart monocle is a groundbreaking development in the world of AI technology. It opens up new possibilities for practical applications of AI in our daily lives.
