Imagine an AI that not only generates creative text but also judges its own creations. That's the intriguing idea behind Creative Beam Search (CBS), a new technique designed to make AI-generated text more creative and human-like. Traditional AI writing tools often produce bland or repetitive text because they focus on the most statistically likely word combinations. CBS tackles this problem by first generating a diverse range of possible responses using a method called Diverse Beam Search. Think of it as brainstorming, where the AI explores multiple creative avenues instead of fixating on a single idea. But the real magic happens in the next step: self-evaluation. CBS employs an 'AI-as-a-judge' approach, where the AI model acts as its own critic, evaluating the different options it generated and selecting the most creative one. This mimics the human creative process, where we generate ideas and then assess their quality. A recent study with computer science students showed that people preferred the text generated by CBS over standard AI methods. This suggests that CBS is a promising step towards more human-like AI creativity. However, the research also revealed that the AI judge doesn't always pick drastically different options, indicating there's still room for improvement. While CBS shows promise, it's important to remember that AI doesn't truly understand creativity in the way humans do. It's simply learning to mimic the patterns and characteristics of creative text. The future of CBS lies in exploring even more diverse candidate solutions and refining the self-evaluation process. This could lead to AI systems that are not just creative tools but true collaborators in the creative process.