Jeff Bezos is backing a major research initiative aimed at discovering what neuroscientists and AI theorists call the brain 'core algorithm.' The project brings together neuroscientists, cognitive scientists, and AI researchers to search for fundamental computational principles that underlie biological intelligence.
The core algorithm hypothesis posits that the brain diverse cognitive abilities—from vision to language to motor control—may emerge from a relatively small set of universal learning mechanisms. If identified, such principles could revolutionize AI architecture design, moving beyond the current paradigm of scaling transformers toward more sample-efficient and general-purpose learning systems.
The funding amount and specific institutions involved were not fully disclosed, but the project ambition places it among the largest privately funded neuroscience-AI crossover efforts. The research could take years or decades to bear fruit, but its backers believe it represents the most direct path to artificial general intelligence.