IQ Chart: Human Intelligence, Animal Comparison & AI Capabilities

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.