Syntethic Intelligence: from IT to AI, a semantic revolution (www.amazon.com)

A new work titled "Synthetic Intelligence: From IT to AI, a Semantic Revolution" offers a significant philosophical framework for understanding the evolution of human-machine interactions and the implications of artificial intelligence (AI), particularly in the context of current advancements in machine learning (ML) and large language models (LLMs). The author introduces foundational concepts from cybernetics and information theory, providing tools to explore human consciousness, reasoning processes, and the ethical considerations surrounding intelligent systems. This exploration is expected to enrich the discourse on how AI can replicate human-level capabilities and the potential paradigms that may emerge regarding their ethical use. The publication is divided into three parts: the first discusses the evolution of programming practices and their relationships to human cognition; the second speculates on how reasoning machines might differ from human consciousness and presents minimal working examples of potential applications; and the third focuses on practical applications in AI research, particularly involving variational auto-encoders. With increasing access to powerful AI tools, this work is poised to spark new philosophical inquiries and set the stage for future advancements in AI, emphasizing the importance of ethical considerations as the technology develops.