AI, technology, education, and ideas about what comes next.
AI companies are approaching a turning point: remain providers of powerful research tools, or become intellectual institutions that discover and commercialize ideas themselves. The difficult territory lies between the two.
If AI can solve mathematical problems that have resisted humanity for decades, should we slow the machine—or rethink what mathematical discovery is for?
If AI can teach you almost anything, why go to college?
AI can advance at software speed while infrastructure, institutions and economies move at different speeds. The real challenge is not slowing intelligence, but building systems capable of absorbing it.
If AI reduces the amount of human labour needed to produce goods and services, the real question is not simply how to save existing jobs. It is how society should redesign work, income and economic participation.
AI may not need to replace entire occupations to transform employment. By reducing tasks, expertise, construction time, maintenance and labour required per unit of output, AI could change the relationship between production and employment itself.
AI capability is not the same as AI judgment. As machines become capable of producing almost anything on demand, the scarce resource may become the human ability to decide what should actually be done.