AI, technology, education, and ideas about what comes next.
Can recognizable patterns persist while their configurations change? EFNRT explores the possible connections among evolving information, geometry, structure, and chaos—starting with four books on complex systems.
A proposed framework for testing abstract information networks by applying disturbances to nodes with different, changeable resistance profiles—and examining stability, cascading failure and transferability across similar models.
A humorous but serious look at the gap between AI model capability and the amount of useful work a user can actually extract from it: fuel, interface bandwidth, context mobility, execution access and reliability.
Could AI eventually certify how well a person thinks, not just what they know? This proposed framework uses longitudinal observation to assess idea discovery, reasoning, experimentation, falsification, communication and independent research.