2025-02-23
Researchers discover how AI models process time-specific knowledge
Researchers have identified special components called "temporal heads" in large language models that are responsible for processing time-dependent information and are crucial for how AI systems deal with time-changing facts.
The temporal heads respond not only to direct year information, but also to descriptive time information, suggesting that they encode a temporal dimension that goes beyond mere numerical representation.
The discovery could make it possible to specifically update time-dependent knowledge in AI sy [...]
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2025-04-28
Researchers secretly experimented on Reddit users with AI-generated comments
A group of researchers covertly ran a months-long "unauthorized" experiment in one of Reddit’s most popular communities using AI-generated comments to test the persuasiveness of large lang [...]
2025-03-14
Most AI researchers are skeptical about language models achieving AGI
A new study indicates that AI researchers largely doubt current artificial intelligence approaches will lead to artificial general intelligence (AGI), even as the technology continues advancing.<br [...]
2025-04-19
Researchers introduce COLORBENCH to test color understanding in vision-language models
With COLORBENCH, researchers at the University of Maryland present the first specialized benchmark that systematically examines the color perception and processing of vision-language models (VLMs). Th [...]
2025-06-13
Anthropic researchers teach language models to fine-tune themselves
Researchers working with AI company Anthropic have developed a new method called Internal Coherence Maximization (ICM) that fine-tunes language models using only their own outputs. The approach could [...]