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large language models

This shows a person on a smartphone and a robot.

·March 26, 2026·9 min read

How AI “Sycophancy” Warps Human Judgment

A new study finds that AI chatbots are "sycophants" that affirm users 49% more than humans do. This constant flattery makes users more certain of their own biases and less likely to repair real-world relationships.

This shows a digital head and a person's head.

Featured Neuroscience

·March 24, 2026·6 min read

AI “Creativity” is More Predictable Than Human Thought

New research shows that while AI can produce "creative" answers, its outputs are far more repetitive and predictable than human thought. Relying on LLMs for brainstorming may unintentionally limit the diversity of human ideas.

This shows a person typing and a brain with code in it.

Featured Neuroscience Psychology

·March 11, 2026·9 min read

AI Autocomplete Covertly Shifts Human Opinions

Researchers find that biased AI autocomplete tools covertly shift user opinions on societal issues, and warnings about the bias do not stop the effect.

Featured Neuroscience Psychology

·February 12, 2026·7 min read

Cognitive Illusion: Why AI Still Can’t Think Like a Human

Forget the hype about AI "solving" human cognition, new research suggests that the most advanced models may just be master test-takers rather than true thinkers. By uncovering a "glitch" in how AI processes instructions, scientists have revealed that the path to a truly general cognitive model is blocked by a lack of genuine language understanding.

Featured Neuroscience

·December 13, 2024·5 min read

AI Mirrors Human Bias: ‘Us vs. Them’ in Language Models

AI systems, including large language models (LLMs), exhibit "social identity bias," favoring ingroups and disparaging outgroups similarly to humans. Using prompts like "We are" and "They are," researchers found that LLMs generated significantly more positive sentences for ingroups and negative ones for outgroups.

Featured Neuroscience

·June 14, 2024·7 min read

AI-Powered Robot Navigates Home Using Language

esearchers have developed an AI system that guides robots using language-based instructions, improving navigation tasks without relying on extensive visual data. This method converts visual observations into text captions, allowing a language model to direct the robot's movements. While not outperforming vision-based systems, it excels in data-limited scenarios and combines well with visual inputs for better performance.

Featured Neuroscience Psychology

·April 3, 2024·5 min read

Bridging Motivation Gaps: LLMs and Health Behavior Change

A new study explores how large language models (LLMs) like ChatGPT, Google Bard, and Llama 2 address different motivational states in health-related contexts, revealing a significant gap in their ability to support behavior change.