Longterm Wiki
Updated 2026-03-13HistoryData
Page StatusContent
Edited today114 words
Content1/13
LLM summaryScheduleEntityEdit historyOverview
Tables0/ ~1Diagrams0Int. links0/ ~3Ext. links0/ ~1Footnotes0/ ~2References0/ ~1Quotes0Accuracy0
Issues1
StructureNo tables or diagrams - consider adding visual content

Future Projections

Overview

This section explores different scenarios for how AI development might unfold. Scenario analysis helps prepare for multiple futures rather than betting on a single prediction.

Scenario Analysis Uses

Scenarios help:

  • Test robustness — Which interventions help across scenarios?
  • Identify early signs — What would indicate we're heading toward each?
  • Prepare contingencies — What should we do if each materializes?
  • Communicate — Make abstract risks concrete

Key Uncertainties

The scenario we end up in depends heavily on:

  • AGI timelines (sooner favors speed, later favors preparation)
  • Alignment difficulty (harder favors pessimistic scenarios)
  • Coordination success (better coordination enables pause/redirect)
  • First-mover dynamics (monopoly vs. multipolar outcomes)