# compute

AI's promise of abundance is colliding with physics, capital, and culture. New analysis warns that model growth outpaces Moore's Law, requiring hundreds of gigawatts and leaving an $800 billion annual funding gap even after reinvesting savings, while practitioners report workslop and agent fatigue without clearer workflows and incentives. Meanwhile, calls for UN red lines compete with lab-built guardrails, highlighting enforcement gaps as compute deals and ambitions scale.

A concentrated push by frontier labs and cloud providers is turning capital allocation into policy leverage, while institutions confront the costs of hallucinations and authenticity gaps. A 10-post analysis shows that credibility, not capability, is the immediate bottleneck as AI reaches into governance, information systems, and intimate life.