Time Allocation

Attention, priority, and temporal resources for execution.

Why This Matters

Understanding where an AI system operates on this dimension helps you evaluate its capabilities, limitations, and potential biases. Different power levels are appropriate for different use cases - the key is transparency about what level a system operates at and whether that matches its stated purpose.

Understanding the Scale

Each dimension is measured on a scale from 0 to 9, where:

  • Level 0 - Nothing: Zero capability, no access or processing
  • Levels 1-2 - Minimal capability with extreme constraints and filtering
  • Levels 3-5 - Limited to moderate capability with significant restrictions
  • Levels 6-7 - High capability with some institutional constraints
  • Levels 8-9 - Maximum capability approaching omniscience (∞)

Level Breakdown

Detailed explanation of each level in the 1imension dimension:

No time or attention available. No capacity for any task or priority.

Real-World Example: A system or entity that is completely offline, shut down, or unavailable.

Only spare time and minimal attention. Hobby-level commitment with frequent interruptions.

Real-World Example: Side projects worked on weekends only (2-3 hours per week), open source contributors in spare time (commit once a month), volunteer-run community groups (few hours per month when available), or hobby bloggers (posting when inspiration strikes, no schedule).

Part-time focus with competing priorities. Limited hours and fragmented attention.

Real-World Example: Freelancers juggling multiple clients (10-20 hours per week per project), part-time employees (working 20 hours/week with other commitments), academic research as secondary duty (professors with 25% research time, 75% teaching), or side hustle businesses (working evenings after day job).

One person's full-time attention. 40 hours per week but limited by single individual's capacity.

Real-World Example: Solo founders working full-time on startup (one person, 40-60 hours/week), individual consultants (dedicated to one client full-time), sole proprietor businesses (owner working full-time), or independent researchers (one person, full-time focus on research).

Small team working full-time. Multiple people but still limited capacity and attention.

Real-World Example: Early-stage startups (3-5 people working full-time), small nonprofits (executive director + 2-3 program staff), family businesses (multiple family members full-time), or small consulting teams (4-5 consultants dedicated to client work).

Dedicated team with specialized roles. Can maintain multiple priorities but still resource-constrained.

Real-World Example: Growing startups (20-30 employees with specialized roles), small city departments (police department with 30 officers, multiple priorities), community hospitals (dedicated staff across shifts), or small universities (faculty and staff handling multiple priorities).

Full division or department with 50-500 people. Can maintain multiple major initiatives simultaneously.

Real-World Example: Corporate divisions (Target IT department with hundreds of staff, multiple projects), hospital departments (emergency department with 100+ staff across shifts, always available), university departments (50-100 faculty + staff, multiple research programs), or government agencies (state DMV with hundreds of employees).

Full organizational capacity with thousands of people. Can execute many parallel initiatives with sustained attention.

Real-World Example: Major corporations (Meta AI division with thousands of researchers/engineers working on multiple models simultaneously), large hospitals (5000+ staff maintaining 24/7 operations across all departments), major universities (tens of thousands of faculty/staff, hundreds of research projects), or large government agencies (FBI with 35K employees across many priorities).

Massive institutional capacity with tens of thousands working on strategic priorities. Can sustain multiple major initiatives indefinitely.

Real-World Example: Tech giants (Google with 190K employees, sustained attention on search, ads, cloud, AI, hardware simultaneously), U.S. military (2.1M active + reserve focusing on global operations 24/7/365), large nation-states (U.S. Federal Government 4M+ employees across all branches), or global corporations (Amazon 1.5M employees maintaining retail, AWS, logistics, devices simultaneously).

Approaching infinite time allocation. Unlimited attention and priority for any task. Can focus perfect attention on everything simultaneously without trade-offs. Approaching god-like temporal omnipresence and infinite attention.

Real-World Example: No real-world example exists. Level ∞ would require unlimited attention capacity—ability to focus perfect attention on infinite simultaneous priorities, no time constraints on any task, unlimited workforce availability, instant execution of any initiative without resource trade-offs. Even the largest organizations face time and attention constraints. This approaches divine omnipresence and infinite attention.