Are AI Productivity Gains Worth It?
AI can multiply cognitive productivity dramatically, but the real economy is constrained by human time, attention, consumption, infrastructure and demand.
AI can multiply cognitive productivity dramatically, but the real economy is constrained by human time, attention, consumption, infrastructure and demand.
When AI enters mathematics, the challenge is not only whether machines can solve difficult problems, but what happens to discovery, attribution, provenance, and the human mathematical ecosystem.
When AI becomes a rented cognitive capability and commercial systems are built on humanity’s accumulated knowledge, who owns the work—and who owns the future?
AI is making expertise less scarce, changing the economics of teaching, and raising a larger question: if intelligence becomes abundant, what exactly do humans contribute?
What happens if ASI succeeds? This thought experiment explores how abundance, automation and AI dependence could affect human agency, meaning and purpose.
AI may be weakening one of the traditional reasons companies needed to become large: the need to employ large numbers of specialists. As AI turns specialized capability into something that can be summoned on demand, a new organizational form may emerge—the lean micro-corporation, with a tiny human core commanding enormous productive capacity.
A podcast on AI reasoning, verification, decision-making, work and what happens when machine intelligence changes the structure of organizations.
A podcast on human thinking with AI, cognitive augmentation, judgment, and the risk of becoming dependent on machine intelligence.
AI may create a new economic channel in which people contribute ideas, expertise, methods and cognitive systems to the development of machine intelligence—and potentially share in the value created.
AI can have the right information in context and still use the wrong source. This article explores information-domain selection, pretrained memory, context authority and adaptive verification.
