Research wave examines whether LLMs exhibit human-like cognition and behavior
New papers probe whether language models possess genuine understanding, follow authority, and share cognitive structures with humans.
What to know
- Multiple papers challenge whether LLMs' high performance on human-designed tests reflects genuine understanding or statistical pattern-matching without true cognition.
- Researchers are applying social psychology frameworks (Milgram obedience) and psychological assessment methods to probe LLM behavior and cognition in standardized, replicable ways.
- A core concern across the research: LLMs may lack the persistent internal states, affective grounding, and interpretable cognitive structures that characterize human thinking, meaning they are 'processing' rather than 'cognition.'
- Methodological warnings emphasize the risk of 'measurement phantoms'—false discoveries created by applying human instruments to LLMs without establishing measurement validity.
LLM test performance does not prove genuine understanding; rigorous validity testing and measurement methods are essential to avoid false claims.
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“The evaluation of large language models relies heavily on human-designed assessments, implicitly assuming that AI and humans employ similar underlying cognitive constructs.”
Alona Strugatski et al. · arXiv
LLMs lack the persistent internal states and affective grounding necessary for true cognition; they are statistical processors, not thinking agents.
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“Cognition without a persistent affective-interoceptive base is just processing, not cognition.”
Sufficient-War4616 · Reddit r/artificial ↗
“The evaluation of large language models (LLMs) relies heavily on human-designed assessments, implicitly assuming that AI and humans employ similar underlying cognitive constructs.”
Alona Strugatski et al., Researchers · arXiv
Hidayet Aksu ResearcherZhicheng Lin ResearcherAlona Strugatski, Licol Zeinfeld, Giora Alexandron ResearchersJosé Luiz Nunes, Guilherme FCF Almeida, Brian Flanagan ResearchersSufficient-War4616 Independent researcher/Reddit poster
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