Energy Resources

Power availability and efficiency for computation and operations.

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 energy resources. No power for computation or operations.

Real-World Example: A completely unpowered system with no energy access.

Limited battery power. Must conserve energy aggressively. Frequent recharging required.

Real-World Example: Smartphones with limited battery (needs daily charging), wireless IoT sensors (coin cell batteries lasting months but highly constrained), portable field equipment (tablets for outdoor work with 8-10 hour battery), or wearable devices (smartwatches requiring nightly charging).

Standard residential electricity. Adequate for personal use but limited by household circuits and utility costs.

Real-World Example: Home offices (residential 15-20 amp circuits, typical 100-200 amp service), individual developers working from home (paying residential electricity rates, limited by home wiring), small home servers (single machine in closet, monitored electricity bills), or home AI workstations (single GPU limited by home circuit breakers).

Small commercial power service. Can support office equipment and small servers but limited capacity.

Real-World Example: Small business offices (commercial 3-phase power, small server closet), independent coffee shops (espresso machines, POS systems, lighting), small medical clinics (exam equipment, computers, basic systems), or coworking spaces (desks, Wi-Fi equipment, shared resources).

Standard commercial power with some redundancy. Can support moderate computing needs and operations.

Real-World Example: Small data centers (100-200 kW capacity, UPS backup, diesel generator), medium-sized offices (HVAC, lighting, computer infrastructure), retail stores (refrigeration, lighting, POS systems, security), or small hospitals (medical equipment, lights, basic redundancy).

Enterprise power infrastructure with redundancy and backup. Can support significant computing and reliable operations.

Real-World Example: Corporate data centers (1-5 MW capacity, N+1 redundancy, backup generators), large hospitals (operating rooms, life support, full backup systems), university campuses (multiple buildings, research equipment, resilient power), or regional offices (hundreds of employees, always-on systems).

Multiple facilities with diverse power sources. Geographic distribution reduces risk. Can handle major computing loads.

Real-World Example: Regional hospital networks (multiple facilities each with backup power, some with on-site generation), multi-site corporations (data centers in different regions with diverse power sources), large manufacturers (factories with dedicated substations, on-site generation), or university systems (multiple campus power plants).

Massive power infrastructure for hyperscale operations. 20-100 MW per facility. Can negotiate directly with utilities.

Real-World Example: Major tech company data centers (Meta Prineville data center 90 MW, Microsoft data centers 50-100 MW each), large AI training facilities (OpenAI, Anthropic training clusters requiring tens of megawatts), cryptocurrency mining operations (large-scale Bitcoin mining using 30-50 MW), or large cloud providers (AWS, Azure, Google data centers with dedicated substations).

Industrial-scale energy infrastructure. 100+ MW capacity. Access to dedicated power generation or significant grid capacity.

Real-World Example: Largest data center campuses (Google Mesa Arizona 300+ MW, Meta Fort Worth 200+ MW), aluminum smelters (400-600 MW for aluminum production), cryptocurrency mining at national scale (Kazakhstan bitcoin mining using 500+ MW), or large national research facilities (CERN Large Hadron Collider using 200 MW during operation).

Approaching infinite energy resources. Unlimited power for any computational or operational need without constraints. No energy costs or availability limitations. Approaching god-like energy omnipotence.

Real-World Example: No real-world example exists. Level ∞ would require unlimited energy without constraints—ability to power any operation at any scale instantly, no electricity costs, no grid limitations, no environmental impact concerns, ability to provision gigawatts on demand. Even nation-states and largest corporations face energy constraints and costs. This approaches divine energy omnipotence.