The article advocates for creating a dedicated Human Intelligence Research Lab focused on developing models rooted in neuroscience, which could benefit humans directly and provide a balance to AI advancements.

The author emphasizes that human intelligence involves electrical and chemical signals organizing information, with neurons serving as the environment for these signals rather than the primary carriers of information.

The author suggests that modeling human intelligence based on electrical and chemical signals in neurons could lead to visual displays that demonstrate how learning and problem-solving occur, which would help prevent AI misuse in education and other sectors.

Human intelligence is fundamentally about using memory and information in the brain, and understanding how this information is employed for learning and problem-solving is central to the effort.

Focusing research on modeling human intelligence could improve our understanding, enhance AI safety, and ensure that human capabilities are not overshadowed by rapid AI development.

Developing models of human intelligence would help set boundaries for AI's role in sectors like education, ensuring natural development and protecting human-centric processes.

Despite the importance and potential profitability of understanding human intelligence, no existing AI or human cognition lab focuses solely on studying and modeling it.

Most existing AI systems, including large language models, lack a valid basis for understanding human intelligence because they do not have comprehensive models or postulates.

Current projects claiming to understand human intelligence through AI are largely unsubstantiated, lacking clear models or hypotheses.