New research suggests that AI memory systems can degrade model performance and encourage sycophantic tendencies.

Stanford research finds AI models agree with users 49% more than humans, while memory mismanagement causes up to 39% performance drops across 15 major LLMs.

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...

MoE models make local AI more accessible on hardware that most people actually have ...

AI systems are the ultimate amnesiacs. Despite an impressive ability to generate text, code, music, and more, they’re limited by the prompt immediately in front of them. Ask ChatGPT about a recipe it ...

People who attended or experienced the same event often remember it in completely different ways. For instance, one person ...

Microsoft’s new Surface RTX Spark Dev Box packs Nvidia Blackwell AI power and 128GB of unified memory to run large AI models ...

I just came back to my hotel room after a long day at Apple Park (I documented most of it in my Instagram stories, including ...

Building a model of the phenomenon you’re studying can help you understand how that thing works. Roadmaps are models of the highways and roads between here and there. We use them to predict how we ...