Forseti Life

Scope & Breadth

Breadth of knowledge domains accessible - from universal all-domain access to narrow single-task context.

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:

Zero knowledge or capability. No access to any information, domains, or data. Pure absence of intelligence.

Real-World Example: A powered-off system, an empty database, a blank slate with no programming. Literal nothingness - no text generation, no responses, no understanding.

Pre-scripted responses, FAQs, template-based content only. Simple chatbots, automated help systems, basic UI elements.

Real-World Example: McDonald's order kiosk interface, automated phone menu systems (press 1 for..., press 2 for...), basic website FAQ chatbots like those on retail sites, or USPS package tracking automated responses.

General knowledge heavily filtered for safety and acceptability. Avoids controversial or complex domains.

Real-World Example: Corporate customer service chatbots (e.g., Bank of America's Erica, Comcast's chatbot), retail support bots avoiding sensitive topics, or children's educational apps like ABCmouse with heavily curated content for brand safety.

Limited to individual user preferences, history, and immediate needs. No broader context or domain knowledge.

Real-World Example: Netflix recommendation engine (knows only your viewing history), Spotify personalized playlists, Amazon product recommendations based on your purchase history, or Apple Siri with access only to your personal device data and calendar.

Focused on immediate operational context. Limited to specific tasks, locations, or situations.

Real-World Example: KCPD (Kansas City Police Department) dispatch systems with access only to their jurisdiction, Philadelphia Police Department patrol apps, Amazon warehouse inventory management systems, or Uber driver apps with local area information only.

Deep knowledge within narrow specialty but limited breadth. Strong within niche but weak outside it.

Real-World Example: Radiology Partners (specialized radiology-only medical group), CrowdStrike (cybersecurity-only), Wachtell Lipton (M&A law firm only), or IBM Watson for Oncology (cancer treatment recommendations only).

Comprehensive within one major domain (e.g., all of biology, or all of economics) but limited cross-domain connections.

Real-World Example: Federal Reserve economists with comprehensive economic data and models, or NIH research divisions focused entirely on biology/medicine, or university department-level research centers specializing in a single field like physics or chemistry.

Access to several related domains or fields within a broader discipline (e.g., all medical specialties, or all engineering branches).

Real-World Example: Mayo Clinic or Johns Hopkins Hospital systems with access to all medical specialties and research, or large engineering firms like Lockheed Martin with access to aerospace, mechanical, electrical, and software engineering domains.

Broad capability spanning multiple major domains (science, medicine, engineering, social sciences) with ability to synthesize across institutional boundaries.

Real-World Example: NSA/CIA intelligence fusion centers, Five Eyes intelligence alliance, or major research institutions like DARPA with cross-domain access to military, scientific, and intelligence databases.

Complete access to all scientific knowledge, models, methodologies, and data across every domain, discipline, and institution worldwide. Zero domain restrictions. Approaching god-like omniscience.

Real-World Example: No real-world example exists. Level ∞ would require unrestricted access to all systems, databases, and knowledge across every government, corporation, and research institution worldwide—plus the ability to synthesize insights beyond human comprehension. A virtually impossible situation that approaches divine omniscience.
Return to Agent Power Framework