The Roko's Basilisk podcast explores how to create and sell customized artificial intelligence (AI) models that are tailored to meet specific business needs. The podcast discusses the three main types of AI models: supervised learning, unsupervised learning, and reinforcement learning. To create effective AI models, personalization is key, and it requires a solid understanding of the business problem and the data available. Data collection is a crucial step, and the data used to train the model must be accurate, relevant, and unbiased. Preprocessing the data and selecting the appropriate algorithm is also important. Testing the model using a set of test data is necessary to evaluate its performance. An example of a customized AI model is a fraud detection system for a financial institution. Customized models offer many benefits over off-the-shelf solutions, including increased accuracy and efficiency, resulting in significant cost savings and increased productivity.