LCC Research Lab investigates how artificial intelligence learns, reasons, and represents knowledge inside neural networks. We conduct reproducible experiments and develop open research tools to measure, inspect, and better understand AI models.
We study why models give particular answers, what changes when they learn, and how those changes can be measured. Research questions motivate new instruments; instruments enable measurements; evidence motivates the next question.
We publish methods, evidence, limitations, and unanswered questions—and we distinguish what our experiments demonstrate from what remains uncertain.
We investigate how AI learns through controlled experiments—and build tools to examine the evidence.
Five connected investigations · Books One–Four published · Book Five in progress
Explore the complete research journey and free previews on Our Work.
We publish our methods, evidence, limitations, and unanswered questions—because even an unexpected result can move scientific understanding forward.
