Forseti Life

Infrastructure Access

Physical facilities, data centers, network bandwidth, and technological platforms.

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 infrastructure access. No facilities, data centers, network bandwidth, or technological platforms.

Real-World Example: A completely isolated entity with no physical or technological infrastructure.

Home internet and personal devices only. Consumer-grade infrastructure with no redundancy or reliability guarantees.

Real-World Example: Individual developers working from home (residential broadband, personal laptop, consumer internet plan with no SLA), freelancers using home office (home Wi-Fi, single computer, no backup power), or remote workers relying on residential ISP (no guaranteed uptime, shared bandwidth with household).

Shared hosting or coworking space. No dedicated infrastructure, bandwidth, or control.

Real-World Example: Small websites on Bluehost/GoDaddy shared hosting (sharing server resources with hundreds of other sites), startups in WeWork coworking space (shared internet, no dedicated infrastructure), small nonprofits using Google Workspace free tier, or student projects on university shared servers.

Virtual private server or small office. Dedicated but limited infrastructure. Some control and reliability.

Real-World Example: Small businesses on AWS t3.medium instances ($30/month, dedicated but limited resources), solo law practices in small office space (business internet, basic server, modest bandwidth), small medical practices (office space, basic EMR system, shared data center), or independent content creators (Linode VPS, managed WordPress, CDN for video).

Dedicated servers and office facilities. Moderate bandwidth and redundancy. Can handle steady traffic.

Real-World Example: Small SaaS companies (dedicated database servers, application servers, load balancer), regional accounting firms (dedicated office building, server room with backup power), local hospitals (dedicated EMR servers, redundant network connections), or municipal government offices (dedicated facilities, government network access).

Multiple facilities with distributed infrastructure. Regional presence with good redundancy and bandwidth.

Real-World Example: Regional retail chains (5-20 locations with POS systems, inventory network, centralized data center), medium-sized hospital networks (3-5 facilities with shared Epic system, data redundancy), state university systems (multiple campus data centers, fiber backbone between sites), or mid-sized financial institutions (branch network, redundant data centers).

Full enterprise data center with high bandwidth, redundancy, and security. Multi-regional presence.

Real-World Example: Fortune 500 companies (Target corporate data centers in Minneapolis, Southwest Airlines operations center in Dallas), large hospital systems (Kaiser Permanente data centers serving thousands of facilities), major universities (Harvard/Stanford research data centers with high-speed networks), or large AI companies (Anthropic data centers with GPU clusters).

Multiple data centers across regions with global network presence. High availability and performance.

Real-World Example: Major cloud providers (AWS with 30+ regions globally, Microsoft Azure 60+ regions), large CDN networks (Cloudflare, Akamai serving global traffic), international banks (HSBC, Citibank with global infrastructure), or multinational corporations (Coca-Cola, Unilever with regional data centers and supply chain networks).

Massive global infrastructure network. Hundreds of data centers, submarine cables, edge networks worldwide.

Real-World Example: Tech giants (Google with 34 data center campuses + 187 edge locations globally, Facebook/Meta with 21 data centers + massive subsea cable investments), global telecommunications (AT&T, Verizon with nationwide fiber and cell infrastructure), U.S. military (global base network, satellite communications, secure data centers), or Amazon Web Services (84 availability zones across 26 geographic regions, massive edge network).

Approaching infinite infrastructure access. Unlimited data centers, bandwidth, facilities, and technological platforms globally. No constraints on physical or network resources. Approaching god-like infrastructure omnipresence.

Real-World Example: No real-world example exists. Level ∞ would require unlimited access to infrastructure everywhere—data centers in every city, unlimited bandwidth on all networks, access to all technological platforms without restriction, ability to instantly provision any facility or network resource needed. Even tech giants face infrastructure constraints. This approaches divine omnipresence.
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