The provided transcript doesn't specify the exact mathematical models from quantum mechanics used in the study to quantify the "criticality" of brain states. It only mentions that the researchers used equations from quantum mechanics because they "work," but doesn't detail which equations or models were employed.
The research implies that for artificial intelligence to achieve consciousness, it needs to be a system capable of descending into chaos. This suggests that AI developers should focus on creating systems that can reach and operate within this "critical" state, which balances order and chaos to allow for complexity and emergent features.
This video discusses a research study suggesting that the human brain's ability to operate near the "edge of chaos" is a key component of consciousness. The researchers used mathematical models, including aspects of quantum physics, and fMRI brain scans to support their findings, suggesting a link between this "criticality" and the ability to make rapid, accurate decisions.
