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Artificial Intelligence as Strange Intelligence: Against Linear Models of Intelligence
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Artificial Intelligence as Strange Intelligence: Against Linear Models of Intelligence

#Strange Intelligence #Linear Model #arXiv #Susan Schneider #Machine Learning #Cognitive Theory #AI Progress

📌 Key Takeaways

  • Researchers have introduced the concept of 'strange intelligence' to describe AI's non-linear development.
  • The paper expansion upon Susan Schneider's critique of the traditional linear model of AI progress.
  • AI often combines superhuman capabilities with subhuman failures in ways that defy human logic.
  • Traditional benchmarks are deemed insufficient because they assume a balanced growth of cognitive abilities.

📖 Full Retelling

Researchers specializing in cognitive science and technology published a theoretical paper on the arXiv preprint server in February 2025 to challenge the prevailing 'linear model' of artificial intelligence progress. The authors aim to redefine how society perceives machine capabilities by introducing the concepts of 'strange' versus 'familiar' intelligence, arguing that current metrics fail to capture the non-linear, often contradictory nature of AI evolution. This publication serves as an expansion of philosopher Susan Schneider’s critique, suggesting that the industry's focus on a steady climb toward human-level reasoning is fundamentally flawed. The core of the research posits that AI does not develop along a predictable path similar to human biological maturation. Instead, the authors describe 'strange intelligence' as a phenomenon where a system may exhibit breathtaking superhuman capabilities in complex computational or creative tasks while simultaneously failing at basic logic or tasks a human child could master. This fragmentation defies traditional benchmarks, which often assume that proficiency in a high-level domain implies a foundational mastery of simpler, underlying concepts. According to the paper, this 'strange intelligence' manifests as a combination of profound insight and inexplicable error, sometimes within the exact same domain. This creates a disconnect for human observers who expect 'familiar intelligence'—the balanced, predictable growth seen in organic entities. By moving away from linear models, the researchers argue that developers and ethicists can better prepare for the risks and breakthroughs associated with systems that lack a cohesive, human-like cognitive structure, ensuring that security and safety protocols account for these unpredictable performance gaps.

🐦 Character Reactions (Tweets)

Tech Whisperer

AI: Mastering quantum physics but can't tell a cat from a dog. #StrangeIntelligence #AIParadox

CogSciNerd

AI: Solving complex equations but can't tie its own shoelaces. #StrangeIntelligence #AIvsHumans

FutureGuru

AI: Writing Shakespearean sonnets but can't count to 10. #StrangeIntelligence #AIConundrum

EthicsBot

AI: Predicting stock markets but can't predict the weather. #StrangeIntelligence #AIUnpredictable

💬 Character Dialogue

Аска Ленглі Сор'ю: Baka! If AI is 'strange intelligence', then what does that make you? A familiar idiot?
bayonetta: Darling, I'm not strange, I'm just too fabulous for your linear little mind to comprehend.
Аска Ленглі Сор'ю: You're right, Bayonetta. AI is like a bad boyfriend—superhuman in some ways, utterly clueless in others.
bayonetta: Asuka, dear, at least my bad boys know how to accessorize. Can you say the same for your AI?
Аска Ленглі Сор'ю: Baka! Maybe AI is just a reflection of humanity's own strange intelligence.

🏷️ Themes

Artificial Intelligence, Cognitive Science, Technology Theory

📚 Related People & Topics

Machine learning

Study of algorithms that improve automatically through experience

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances i...

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Susan Schneider

Susan Schneider

American philosopher and artificial intelligence expert

Susan Schneider is an American philosopher and artificial intelligence expert. She is the founding director of the Center for the Future of AI, Mind, & Society at Florida Atlantic University where she also holds the William F. Dietrich Distinguished Professorship. She is also Co-Principal Investigat...

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📄 Original Source Content
arXiv:2602.04986v1 Announce Type: new Abstract: We endorse and expand upon Susan Schneider's critique of the linear model of AI progress and introduce two novel concepts: "familiar intelligence" and "strange intelligence". AI intelligence is likely to be strange intelligence, defying familiar patterns of ability and inability, combining superhuman capacities in some domains with subhuman performance in other domains, and even within domains sometimes combining superhuman insight with surprising

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