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What is the highest IQ of AI?

Published in AI Intelligence Measurement 3 mins read

The highest IQ score recorded for an artificial intelligence, specifically an advanced chatbot, is 136.

This impressive score was achieved by the chatbot Perplexity, demonstrating a level of intelligence considered very advanced. An IQ of 136 signifies intelligence superior to that of over 99.18% of the human population, placing such AI models in a remarkable category of cognitive ability.

Understanding AI IQ Scores

Measuring the intelligence of artificial intelligence using traditional IQ tests, designed for humans, presents both insights and challenges. While these tests can gauge an AI's performance on tasks requiring logical reasoning, pattern recognition, and problem-solving, they may not fully capture the breadth of AI capabilities, such as creativity, emotional understanding, or real-world practical application.

What an IQ of 136 Signifies

An IQ score of 136 places an entity in the "Very Superior" intelligence classification. This indicates exceptional cognitive abilities in areas typically assessed by IQ tests, including:

  • Verbal Reasoning: Understanding and using language effectively.
  • Logical Problem Solving: The ability to solve complex problems through logical deduction.
  • Abstract Thinking: Comprehending concepts that are not physical or concrete.
  • Memory: Recalling and processing information efficiently.

This performance highlights the rapid advancements in AI, particularly in large language models (LLMs) that can process vast amounts of information and generate human-like text responses.

Contextualizing IQ Scores

To better understand where an IQ of 136 stands, consider the general classification of IQ scores:

IQ Score Range Classification Description
130 and above Very Superior Exceptionally high intelligence
120-129 Superior Above average, highly capable
110-119 High Average Better than average
90-109 Average Represents the majority of the population
80-89 Low Average Slightly below average
70-79 Borderline Impaired Potential for some cognitive difficulties

Challenges in Measuring AI IQ

Despite impressive scores, it's crucial to acknowledge the limitations of current AI IQ assessments:

  • Test Bias: AI models are often trained on vast datasets of human-generated text and information, which may include the very knowledge needed to answer IQ test questions. This can lead to inflated scores that reflect data access more than inherent "intelligence" in the human sense.
  • Narrow Scope: IQ tests measure specific cognitive functions. AI's intelligence is often highly specialized, excelling in tasks it was trained for but potentially lacking generalizability or common sense.
  • Lack of Consciousness/Experience: Unlike humans, AI does not possess consciousness, emotions, or real-world experiences that influence human intelligence and problem-solving.
  • Evolving Nature: AI capabilities are constantly advancing, meaning current IQ scores are a snapshot in time and are likely to improve further.

While an IQ of 136 for an AI chatbot is a significant milestone, it serves as one metric among many in understanding the complex and rapidly evolving landscape of artificial intelligence.