DeepSeek says both models are more efficient and performant than DeepSeek V3.2 due to architectural improvements, and have almost "closed the gap" with current leading models, both open and closed, on reasoning benchmarks.

New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that are commonplace, improbable, impossible or just plain nonsense.

AI language models can tell real events from impossible ones, hinting at emerging common sense, according to a new study.

According to research published in PNAS Nexus, popular language models produce highly similar creative concepts. This suggests that heavily relying on artificial intelligence for brainstorming tends to lead to a massive loss of unique human thought.

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By

A study reveals that AI models can inherit hidden biases from clean data, raising new concerns about safety and training risks.

A Brown University study suggests that large AI language models can internally differentiate between commonplace, improbable, impossible, and nonsensical events in ways that align closely with human judgments. Researchers found that models with over two ...

The "Data Lineage for Large Language Model (LLM) Training Market Report 2026" has been added to ResearchAndMarkets.com's offering. The data lineage for the large language model (LLM) training market is witnessing dynamic growth,