We asked AI this "What kind of skill set you need to develop AI?" and this what AI said

 Developing AI requires a wide range of skills and expertise, including:

1. Mathematics: AI development relies heavily on mathematical concepts such as probability, statistics, linear algebra, and optimization.

2. Programming: AI developers need to have a strong programming background and be proficient in one or more programming languages such as Python, C++, or Java.

3. Machine Learning: Knowledge of machine learning concepts, algorithms and libraries such as TensorFlow, PyTorch, and scikit-learn are essential for building and training AI models.

4. Data Science: Understanding of data science concepts and techniques, such as data cleaning, data visualization, and feature selection.

5. Computer Science: AI development requires knowledge of computer science concepts such as algorithms, data structures, and computer architecture.

6. Deep Learning: Experience with deep learning frameworks such as TensorFlow, PyTorch, and Caffe.

7. Artificial Intelligence: Knowledge of AI concepts, such as natural language processing, computer vision, and decision-making.

8. Problem-solving: The ability to analyze problems and design solutions is essential for developing AI systems.

9. Communication: AI developers need to be able to communicate effectively with different stakeholders, including other developers, business leaders, and end-users.

It's worth noting that AI development is a highly interdisciplinary field, and developers often have backgrounds in computer science, mathematics, engineering, or other related fields. Additionally, it's also important to have knowledge of the industry and market you're working on, to be able to understand the requirements and to choose the right tools and techniques to achieve the desired results.