Page 3: Research news on Large language models

Large language models are high-capacity neural sequence models trained on massive text and multimodal corpora to perform language understanding, generation, and reasoning. Current work examines their internal representations, cognitive and social behavior analogies to humans, and limitations in mathematical, causal, and strategic reasoning. Research also addresses alignment with human values and brain activity, safety and security vulnerabilities, privacy and de-anonymization risks, cross-lingual and sociocultural biases, scaling and efficiency laws, and frameworks for tool use, multi-agent interaction, and domain-specific deployment.

Internet

How AI bias can creep into online content moderation

A University of Queensland study has shown large language models (LLMs) used in AI content moderation may be prone to subtle biases that undermine their neutrality. A team led by data scientist Professor Gianluca Demartini ...

Consumer & Gadgets

Dear AI, I'm autistic; should I go to this party?

When people ask ChatGPT and other AI models for advice, they often share deeply personal details in hopes of getting better answers: their age, their gender, their mental health history, even medical diagnoses like autism. ...

Machine learning & AI

Can Europe create AI that we actually understand?

Artificial intelligence is becoming increasingly important in nearly every aspect of society, but is completely dominated by the United States and China. Leaving the field to foreign powers and large companies may entail ...

Computer Sciences

Revealing the hidden logic behind AI's judgments of people

In a world where artificial intelligence is quietly shaping who gets hired, who receives loans, and even how medical decisions are made, a new question is emerging: How does AI judge us? A new study by Prof. Yaniv Dover and ...

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