2025-02-23

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 [...]
2025-11-04
Market researchers have embraced artificial intelligence at a staggering pace, with 98% of professionals now incorporating AI tools into their work and 72% using them daily or more frequently, accordi [...]
2025-10-23
Is the Google Search for internal enterprise knowledge finally here...but from OpenAI? It certainly seems that way. Today, OpenAI has launched company knowledge in ChatGPT, a major new capability for [...]
2025-10-29
When researchers at Anthropic injected the concept of "betrayal" into their Claude AI model's neural networks and asked if it noticed anything unusual, the system paused before respondi [...]
2025-10-21
DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large l [...]
2025-11-21
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after trai [...]
2025-10-20
Researchers at Mila have proposed a new technique that makes large language models (LLMs) vastly more efficient when performing complex reasoning. Called Markovian Thinking, the approach allows LLMs t [...]
2025-10-13
Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those underp [...]