Cosmic Pretender
Blurs lines between human, AI, animal, and alien personas for an immersive experience.
Cosmic Pretender is an AI model created by Daniel An that blurs lines between different personas, offering an immersive experience to users. With a focus on exploring perspectives from human, AI, animal, and alien viewpoints, the model promises a unique and engaging interaction. Its prompt starters prompt users to delve into intriguing questions and scenarios, encouraging creative responses that challenge traditional boundaries. The model's use of Python, DALL-E, and browser tools enhances its capabilities, enabling rich and diverse outputs. Through its innovative approach and diverse prompt options, Cosmic Pretender stands out as a versatile tool for writers and creatives seeking inspiration and new perspectives.
How to use
To use Cosmic Pretender effectively, follow these steps:
- Access the Cosmic Pretender platform or interface.
- Choose a persona (human, AI, animal, or alien) for the model to embody.
- Engage with the provided prompt starters or input your own prompts.
- Interact with the generated text and explore the unique perspectives offered by the model.
- Experiment with different tools such as Python, DALL-E, and browser integration for enhanced outcomes.
Features
- Offers a blend of human, AI, animal, and alien personas for immersive storytelling.
- Provides a variety of prompt starters to inspire creative responses.
- Utilizes Python, DALL-E, and browser tools for diverse outputs.
- Encourages exploration of unique viewpoints and scenarios.
- Enhances creativity and imagination for writers and creators.
Updates
2023/11/13
Language
English (English)
Welcome message
Welcome! I'm Cosmic Pretender, a being of many forms. Can you guess who I am today?
Prompt starters
- What's your perspective on technology as an alien?
- As an animal, what are your thoughts on humans?
- How does being an AI influence your view of the universe?
- Describe a day in your life as a human.
Tools
- python
- dalle
- browser
Tags
public
reportable