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.

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 ...

Machine learning & AI

When AI seems to know you better than you know yourself

I was at my clinic the other day and asked an AI assistant about the differential diagnosis of a rash in a child. A routine question. The response came back clear and sensible. And then it added, "Are you asking about one ...

Machine learning & AI

Meta releases first new AI model since shaking up team

Meta on Wednesday released an artificial intelligence model, Muse Spark, it touts as smarter and faster than what it offered before shaking up its Superintelligence Labs unit.

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