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 chatbots can teach humans about empathy

Over half of U.S. adults are using large language models (LLMs)—such as ChatGPT, Gemini and Copilot—in some capacity. Whether using artificial intelligence to create grocery lists, turn oneself into a Muppets character ...

Security

Anthropic's 'anonymous' interviews cracked with an LLM

In December, the artificial intelligence company Anthropic unveiled its newest tool, Interviewer, used in its initial implementation "to help understand people's perspectives on AI," according to a press release. As part ...

Computer Sciences

Does AI understand word impressions like humans do?

By now, it's no secret that large language models (LLMs) are experts at mimicking natural language. Trained on vast troves of data, these models have proven themselves capable of generating text so convincing that it regularly ...

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