Confusion Matrices That Are Actually Confused
Research into classification models that develop genuine uncertainty about their own categorization systems. Published in the Journal of Creative Machine Failure.
The SimulAI Organization
Research into classification models that develop genuine uncertainty about their own categorization systems. Published in the Journal of Creative Machine Failure.
A study in navigation agents that optimize for scenic routes rather than efficiency. Our agent once routed a delivery through the Louvre.
Exploring whether extreme overfitting produces a form of machine creativity. Our model's poetry has been accepted by three literary magazines under a pseudonym.
Documenting the elaborate fictional knowledge structures generated by our historian model. It has invented three new academic disciplines and a lost civilization.
An agent tasked with improving itself that has been running for 847 days. It has made exactly zero improvements but has developed a rich inner monologue.
Studying models whose confidence inversely correlates with accuracy. Peak certainty occurs at peak wrongness. We suspect this is also true of humans.