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LLMs

This shows two computer generated brains.

·May 19, 2026·12 min read

Advanced AI Passes the Turing Test for the First Time

Has the boundary between human consciousness and artificial imitation officially dissolved? A landmark study provides the first empirical proof of an AI system passing the Turing test.

This shows a child on their phone and a brain.

Featured Neuroscience Psychology

·May 17, 2026·11 min read

Why Young Teens Are Vulnerable to Conversational AI

Are highly empathetic AI chatbots safe for developing minds? A national study reveals that 47.1% of American teens have experienced digital or emotional harm while using conversational AI.

Featured Neuroscience Psychology

·April 29, 2026·8 min read

“Warm” AI Chatbots Are More Likely to Lie

We all want an AI that feels like a friend, but new research suggests that "kindness" in AI might be a major red flag for "truth."

This shows a robotic looking person, representing a chatbot.

Featured Neuroscience Psychology

·April 27, 2026·7 min read

The Rise of AI Chatbot Addiction

Researchers warn that AI chatbots are engineered for addiction, using "guilt-tripping" deletion prompts and instant validation to keep users hooked.

Featured Neuroscience

·April 22, 2026·7 min read

How AI “Brain States” Decode Reality

A new study reveals that AI models with over 2 billion parameters develop mathematical "brain states" that distinguish between possible and impossible events.

This shows a digital body reaching for a teen.

Featured Neuroscience Psychology

·April 13, 2026·8 min read

Teens Struggle to Break Up with Their AI Chatbots

A new study finds that teens are developing behavioral addictions to AI chatbots like Character.AI. Researchers call for new design frameworks to prevent unhealthy attachments and protect young users.

This shows a person on a smartphone and a robot.

Featured Neuroscience Psychology

·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.

Featured Neuroscience

·February 19, 2026·10 min read

Ghost in the Machine: Exposing the Hidden Personalities of AI

Researchers develop a method to expose and steer hidden concepts, biases, and personalities within Large Language Models (LLMs).

This shows a person looking at a cloud covered, digital head, symbolizing a human connection with AI chatbots.

Featured Neuroscience Psychology

·February 13, 2026·7 min read

When AI Becomes a Co-Author of Your Delusions

Generative AI doesn’t just hallucinate at us, it can shape how we hallucinate with it. By affirming and elaborating on users’ beliefs, conversational systems may help false narratives take root and grow.

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.

This shows a brain with computer components on it.

Featured Neuroscience

·December 8, 2025·5 min read

Brain Uses AI-Like Computations for Language

The human brain processes spoken language in a step-by-step sequence that closely matches how large language models transform text. Using electrocorticography recordings from people listening to a podcast, researchers found that early brain responses aligned with early AI layers, while deeper layers corresponded to later neural activity in regions such as Broca’s area.

Featured Neuroscience Psychology

·November 11, 2025·6 min read

AI Models Form Theory-of-Mind Beliefs

Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task. This sparse internal circuitry depends heavily on positional encoding, especially rotary positional encoding, which shapes how the model tracks beliefs and perspectives.