Page 2: 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

What does it mean to train an AI to speak like you?

Ultra-personalized artificial intelligence for assisted communication risks muting aspects of the user's identity and occasionally breaches privacy, according to a new study from a Cornell Tech doctoral student who trained ...

Computer Sciences

When AI can't count—and what researchers are doing about it

Today, artificial intelligence can describe images, recognize objects, and explain complex relationships. The pace of development is remarkable: So-called vision-language models (VLMs) combine text and image understanding ...

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 ...

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