The science of consciousness didn’t get to have a 20th century. Due to the “consciousness winter” of behaviorism, the first scientific conferences on consciousness didn’t start until the 1990s. The field is just a few decades old.
But we don’t have time to wait anymore. The lag in consciousness science is felt everywhere. AI’s development has created machines that increasingly resemble and even sometimes surpass human intelligence, yet without a theory of consciousness we are flying blind—morally, scientifically, and culturally—including the risk of not understanding what makes humans special.
Questions of AI consciousness are just the beginning: every field that touches the mind is waiting on the same answers, and solving consciousness will unlock entire branches of the tech tree.
“We will see a consciousness revolution in the 2030s or even earlier.”
Erik Hoel, Bicameral Labs founder, in Nature
While the past decades have produced hundreds of neuroscientific theories of consciousness, empirical testing has ruled out none of them.
“Two Theories of Consciousness Faced Off. The Ref Took a Beating.”
The New York Times, April 2025
The problem lies upstream of the experiments themselves. Consciousness science is pre-paradigmatic: it does not yet create falsifiable theories. The goal of Bicameral Labs is to transform consciousness science from pre-paradigmatic to post-paradigmatic.
To accomplish this, Bicameral will lead an international consortium of major neuroscience labs. Its early-stage phases include creating the equivalent of meta-scientific no-go theorems for theories of consciousness, cultivating extremely high-quality data sets, and developing a unique style of experiment designed not to promote or test individual theories, but to narrow down the state space of possible theories.
Once we know a thousand ways to not build a theory of consciousness, the same process and data can be inverted to reverse-engineer a final post-paradigmatic theory.