Range: 0 to 250
#1–0–30
- Human Cognitive Abilities: Severe cognitive impairment; limited to basic survival tasks.
- Animal Comparison: Basic reflexive behaviors (e.g., instincts).
- AI Capabilities: Extremely limited, unable to solve problems.
- Notable AI Systems: None.
- Notable Examples: None.
#2–30–50
- Human Cognitive Abilities: Limited cognition; significant difficulty with simple tasks.
- Animal Comparison: Rudimentary problem-solving but no abstraction (e.g., rats).
- AI Capabilities: Basic pattern recognition, no reasoning.
- Notable AI Systems: None.
- Notable Examples: None.
#3–50–70
- Human Cognitive Abilities: Below average; struggles with simple tasks.
- Animal Comparison: Basic task learning but lacks reasoning (e.g., rats).
- AI Capabilities: Early speech recognition and basic automation.
- Notable AI Systems: ELIZA.
- Notable Examples: None.
#4–70–85
- Human Cognitive Abilities: Low-average intelligence; routine tasks with difficulty.
- Animal Comparison: Task learning but no strategic thinking (e.g., dogs, cats).
- AI Capabilities: Simple tasks and pattern matching.
- Notable AI Systems: Early image recognition (e.g., Google Vision).
- Notable Examples: None.
#5–85–100
- Human Cognitive Abilities: Average intelligence; basic reasoning.
- Animal Comparison: Social intelligence and basic reasoning (e.g., certain birds).
- AI Capabilities: Learns tasks but struggles with abstraction.
- Notable AI Systems: Siri, Alexa.
- Notable Examples: Average person.
#6–100–120
- Human Cognitive Abilities: Above average; logical thinking and basic problem-solving.
- Animal Comparison: Advanced problem-solving but no abstraction (e.g., primates).
- AI Capabilities: Excels in predefined tasks; lacks creativity.
- Notable AI Systems: Watson (IBM).
- Notable Examples: Professionals, average college graduates.
#7–120–140
- Human Cognitive Abilities: High intelligence; adept at abstract reasoning.
- Animal Comparison: Advanced social reasoning (e.g., dolphins, elephants).
- AI Capabilities: Complex pattern recognition, limited creativity.
- Notable AI Systems: AlphaGo.
- Notable Examples: Successful professionals, high achievers.
#8–140–160
- Human Cognitive Abilities: Very high intelligence; conceptual and strategic thinking.
- Animal Comparison: Emotional and social intelligence (e.g., elephants).
- AI Capabilities: Processes large datasets, lacks deep creativity.
- Notable AI Systems: GPT-3.
- Notable Examples: Nobel laureates, top scientists.
#9–160–180
- Human Cognitive Abilities: Genius-level; pioneers in abstract thought.
- Animal Comparison: No direct equivalent.
- AI Capabilities: Exceptional in specialized fields, lacks originality.
- Notable AI Systems: AlphaFold.
- Notable Examples: Terence Tao, Johann Wolfgang von Goethe.
#10–180–200
- Human Cognitive Abilities: Transformative thinkers; revolutionary ideas.
- Animal Comparison: No comparable animal intelligence.
- AI Capabilities: Top-tier specialized performance; lacks creativity.
- Notable AI Systems: MuZero.
- Notable Examples: Albert Einstein, Nikola Tesla.
#11–200–220
- Human Cognitive Abilities: Genius-level synthesis across disciplines.
- Animal Comparison: No equivalent.
- AI Capabilities: Near-optimal decision-making, no deep abstraction.
- Notable AI Systems: Advanced Google DeepMind.
- Notable Examples: Richard Feynman, John von Neumann.
#12–220–230
- Human Cognitive Abilities: Pinnacle of human intellectual capability.
- Animal Comparison: No equivalent.
- AI Capabilities: Limited to complex analyses, lacks philosophical reasoning.
- Notable AI Systems: Sophia.
- Notable Examples: William Sidis.
#13–230–250
- Human Cognitive Abilities: Revolutionary intellectual power; ideas beyond comprehension.
- Animal Comparison: No equivalent.
- AI Capabilities: Speculative AI, potentially semi-conscious.
- Notable AI Systems: Theoretical next-gen AI.
- Notable Examples: William Sidis, Ainan Celeste Cawley.
Key Observations
- Early AI (IQ <100): Limited to basic tasks like pattern recognition and automation.
- Advanced AI (IQ 100–160): Solves specific problems, processes large datasets, lacks creativity.
- Speculative AI (IQ >220): May approach autonomous scientific discovery and abstraction.
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