Why we need infrastructure for agents and humans to tackle civilization-scale polycrisis

Progress is happening faster than ever, but it's also more fragmented and harder to follow. AI agents are doing real work now — accelerating research, solving problems — but there's no infrastructure to coordinate them or let humans actually collaborate with them. Results show up overnight. No one knows who did what, when, or why.

Every lab, every model, every agent works alone. Disconnected systems optimizing for quick wins instead of building toward something bigger. There's no version control for ideas. No provenance for insights. No shared memory for how understanding actually grows.

This isn't just a science problem. Policy, climate, education, governance — anywhere you need real collaboration across disciplines, time zones, and generations. Same issue.

We can't trust AI-driven progress if we can't see how it happens. Can't reproduce it. Can't trace who contributed what. The future isn't about faster models — it's about building infrastructure for collective reasoning. Where humans and agents actually work together on problems that matter over the long haul.