LLMs are bad at novelty so far. It is not entirely clear why.
One key thing for LLMs to have enough taste that they could potentially be novel: name the most underrated thing in a category X. If they name things that are widely-believed to be underrated, this doesn't count.
Of course, these lines are fuzzy, but my limited experience suggests LLMs are losing so badly we could use this as a diagnostic for now: LLMs name the 'obvious' underrated if you go to the r/X subreddit for some value of X.
If LLMs can't reason about what's underrated for a deeper reason than 'people said it was underrated' I think they'll have trouble truly innovating.
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{holtzman-most-underrated-as-2026,
author = {Holtzman, Ari},
title = {'Most Underrated' as a Novelty Metric},
year = {2026},
url = {https://hypogenic.ai/ideahub/idea/UmbYQyYnr8fjZJ7GxXam}
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