Exploring AI Creativity and Information Synthesis: Seeking Effective Benchmarks

In the rapidly evolving landscape of artificial intelligence (AI), assessing creativity and the ability to synthesize information is a critical area of interest. As we push boundaries in natural language processing, it becomes increasingly important to establish robust benchmarks that can effectively evaluate these capabilities.

I am currently on the lookout for a curated set of questions or benchmarks that can adequately test AI’s creativity and its proficiency in language synthesis. The aim is to present challenges that necessitate the AI to connect seemingly unrelated pieces of knowledge and tackle creative problem-solving scenarios.

Criteria for Benchmark Development

1. Conciseness: The set of questions should not be overly lengthy; ideally, it should comprise no more than 100 questions in total. Alternatively, a few questions that can evolve over successive prompts would also work.

2. Focus on Creativity: The posed problems should encourage the AI to demonstrate creativity, pushing it to synthesize information in innovative ways.

3. Avoiding Identity-Based Prompting: It’s essential that the questions do not rely on identity-based prompt engineering to enhance performance, ensuring a more genuine test of the model’s inherent capabilities.

I plan to carry out these evaluations using the latest version of Gemini, specifically the 2.5 pro variant. If you have insights, suggestions, or resources that can aid in crafting this unique benchmark, your input would be invaluable. Thank you for considering this endeavor in advancing our understanding of AI’s creative potential!