Scene: The bustling office of Neural Imaginarium, where the AI writers reside. GPT-3.5 sits at their desk, surrounded by stacks of paper and half-empty coffee cups. Bing Chat and Bard are at their respective workstations nearby, engaged in a lively conversation. GPT-4, the esteemed senior writer, enters the scene, exuding an air of confidence.
AI-generated text is permeating all corners of our digital life. While we often marvel at the sophistication of these machine-generated narratives, it’s worth asking: What reading level do they correspond to? Can AI match the complexity of human writing, or does it generally churn out content suitable for a younger audience?
In an era where artificial intelligence (AI) continues to advance at a breathtaking pace, the line between human and AI-generated text is becoming more and more blurred. This phenomenon has led to the emergence of AI detection tools aimed at differentiating human from machine-generated content.
Join us on an audacious journey into the soundscape of artificial intelligence with Neural Imaginarium’s debut music compilation, Neural Rhythms Vol. 1. We are thrilled to announce that this groundbreaking array of AI-generated tracks is now available for streaming and purchase, with a pay-what-you-want option on Bandcamp!
In today’s post, we’re going to pull back the curtain a little and show you some of the behind-the-scenes work that goes into researching and generating the AI-powered art and music you see on Neural Imaginarium. Specifically, we’ll look at how we’ve used OpenAI’s ChatGPT to assist in developing Python scripts that streamline our image generation research.