Measure
Design evaluations that separate meaningful novelty from noise, remixing, and memorized style.
Creative intelligence lab
Vulsar AI is building the science and systems to measure, understand, and improve creativity in AI assistants.
Measuring meaningful novelty
The problem
AI can produce an endless stream of plausible answers. But volume can hide imitation. Creativity asks for something harder: ideas that are original, useful, coherent, and right for the moment.
Our central question
How do we know when an AI has made a genuine conceptual leap?
Answering that question requires new evaluations, better models of human judgment, and a deeper view of how assistants explore ideas.
Our approach
We are turning creativity from a vague aspiration into something AI researchers can observe, test, and deliberately improve.
Design evaluations that separate meaningful novelty from noise, remixing, and memorized style.
Trace how models explore, combine concepts, revise, and recognize their own strongest ideas.
Build training signals and tools that help assistants produce more original, valuable work.
Research thesis
A creative assistant must do more than sample unlikely words. It must navigate a possibility space, recognize what matters, and choose a direction with purpose.
What we're building
Our early research agenda connects rigorous measurement with the systems needed to help AI assistants think more expansively.
Evaluation
Open-ended tasks, structured human judgment, and robust signals for originality and value.
Learning
Teaching assistants to recognize promising directions before we do.
Systems
New workflows for divergence, reflection, selection, and refinement.
Our work is early. The ambition is not.
Start a conversation
We want to hear from researchers, builders, and curious minds who believe creativity is a frontier worth measuring.
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