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.

Consumer & Gadgets

The friendlier AI gets, the more it can backfire

Major AI platforms, including OpenAI and Anthropic, as well as social apps like Replika and Character.ai, are increasingly designing chatbots to be warm, friendly, and empathetic. However, new research from the Oxford Internet ...

Machine learning & AI

China's top AI players

China's artificial intelligence boom is in full swing, with the release of a new large language model (LLM) by top startup DeepSeek on Friday highlighting the country's rapid progress despite U.S. export restrictions on advanced ...

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. ...

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