Page 16: 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.

Security

Five crucial ways LLMs can endanger your privacy

The privacy concerns around large language models like ChatGPT, Anthropic and Gemini are more serious than just the data the algorithms ingest, according to a Northeastern University computer science expert.

page 16 from 27