The AI is described as being able to observe, analyze, and learn, indicating it has strong cognitive capabilities. Additionally, it is noted that the AI systems are iterative and improve in accuracy as they collect and analyze more data, showcasing their ability to learn and adapt over time.
The steps outlined for building one's own AI system, such as defining the purpose, acquiring data, training algorithms, and optimizing the model, suggest a sophisticated development process that requires a high level of intelligence and technical expertise.
The article also highlights the challenges involved in building AI, such as the need for large, relevant datasets and the complexities of data management and algorithm training. These challenges point to the advanced nature of the AI technology.
Overall, the information provided paints a picture of an AI system that exhibits significant intelligence and learning capabilities, going beyond simple rule-based algorithms or narrow task-specific applications. The AI appears to be capable of more open-ended and adaptive behavior, suggesting a level of intelligence that is quite sophisticated.