Reddit user's meta-eval shows LLMs grading each other on ego-baiting questions
A viral follow-up study pits AI models against each other in a unique ranking challenge.
Deep Dive
Reddit user Everlier conducted a second 'meta-eval,' asking LLMs to grade other LLMs on specific, ego-baiting questions. The results, with normalized scores in a pivot table, are available on HuggingFace for public analysis. This crowdsourced experiment provides an unconventional, community-driven benchmark comparing model outputs and perceived capabilities based on subjective prompts.
Why It Matters
Offers a novel, human-centric perspective on model performance beyond standard benchmarks, useful for prompt engineers.