Status: In Progress
Description:
In recent years, significant advancements have occurred in the fields of AI and machine learning. These include developments in deep learning, which involve complex neural networks, and the emergence of Generative Adversarial Networks (GANs) for tasks like image synthesis, text-to-image generation, and music generation. Advanced applications such as natural language processing, large language models, computer vision, medical diagnosis, user preferences, and image recognition have also seen notable progress. Furthermore, many companies and universities have released their machine learning tools as low-cost or open-source software, opening up new possibilities for exploring psi-related datasets and investigating synthetic consciousness and AI-assisted psi applications.
This diverse and multidisciplinary program extends into many of these areas to explore the intersections of art, technology, psi, and consciousness. The research includes AI-assisted visualizations of psi-experiences and mechanisms, developing and applying non-biological consciences hosting platforms and psi-capable AI systems, and other human-AI collaborations.
