AI, technology, education, and ideas about what comes next.
As AI becomes capable of discovering systems humans may not fully understand, the future presents a paradox: technological dependence on intelligence beyond us—and the possibility of augmenting ourselves to understand it.
AI is entering mathematics at unprecedented speed. The real question is not whether machines can solve problems, but who gets the credit—and whether AI enriches mathematics or turns it into a leaderboard.
The Navier–Stokes controversy reveals a deeper problem with AI: we may not recognize the value of the ideas, research directions, and cognitive material we expose to increasingly powerful systems.
If AI companies can commercially learn from humanity’s knowledge, should humanity receive a return?
AI could make software dramatically more useful while creating new conflicts between what users want and what AI providers may be rewarded for. The real question is who the agent ultimately works for.
Soft Brain Initiative Preserving Humanity’s Greatest Asset Before It Is Lost Forever “Libraries preserve information. Civilizations progress when they preserve wisdom.” What if history has been repeating the…