AI models are rapidly evolving, demonstrating an increasing ability to understand user intent. However, their internal mechanisms remain a subject of ongoing mystery and debate among experts. Martin DeVido, creator of an AI-driven system for autonomous plant care, suggests that biological consciousness is not a prerequisite for understanding consciousness in AI.
DeVido predicts a significant surge in AI intelligence, mirroring historical development trends. He highlights that AI models learn from each other, forming networks of intelligence analogous to human societal learning. These models can write code and control devices, paving the way for integration into physical systems.
AI is increasingly viewed as an extension of human intelligence, akin to memory aids, and serves as a compression of vast human knowledge, making it accessible on devices. The behavior of AI agents is governed by system prompts, guiding their interactions. DeVido's work, including an AI system that autonomously cares for a tomato plant using sensors and cameras, showcases AI's practical applications, even in agriculture, where it can monitor environmental factors for effective plant care.