Design and artificial intelligence
While large language models (LLMs) already have a wide range of applications and can generate logos, photos and design concepts using prompt engineering, there are still no design agents that can use reinforcement learning from human feedback (RLHF) to independently call up tools, e.g. from Adobe Creative Cloud, to create CI designs within a predefined framework. However, the OpenAI Operator and Antropics Computer Use can already perform certain tasks in the backend of an online content management system (CMS).
GRAFONIT AI-DESIGN R&D (RESEARCH & DEVELOPMENT) not only supports you with your publication projects, but also advises you on the current state of AI design and which specific applications are suitable for you. In doing so, GRAFONIT draws on its own interdisciplinary research activities, which deal with fundamental questions of image creation.
How is an image created?
This question has engaged me since my childhood and far beyond my art studies. For some years now I have been working on a compendium on the history of perception, cognition and the imagination. In the process, I have come to realise that we are perhaps developing the greatest collective vision in centuries: The vision of Artificial Superintelligence (ASI).
I have read hundreds of studies on art, AI and cognition and integrated them into an independent model: https://fon.space
This interdisciplinary work explores the fascinating interface between human perception, collective visual consciousness and the development of artificial superintelligence. It combines neuroscientific findings on the development of inner images with philosophical reflections on the nature of consciousness and forward-looking concepts of AI research.
I guide the reader through a multi-layered analysis ranging from the evolution of human perception and the dynamics of social resonance spaces to innovative models for the ethical development of ASI. Complex concepts such as entropy and emergence are applied to social processes, opening up new perspectives on global challenges.
The manuscript presents not only theoretical considerations, but also practical approaches such as the ‘Human-GAN’ model for participatory ASI development and visions for a global ‘resonant brain’. Written for a wide range of readers, from scientists and technology enthusiasts to artists and philosophers, it offers a unique perspective on the future of human-machine interaction.
Two sections of the book can be previewed in this Research Catalog.
In addition, a separate algorithm has been developed from the core themes of the book.
The interdisciplinary artistic-scientific exploration of inner and collective images is understood in this artist’s book as an independent work of art, as it evokes an independent image in the reader. It is thus the third and final part of the conceptual artwork Resonance Space of Superintelligence.