Artificial intelligence systems are increasingly entrusted with answering questions, supporting decisions and generating content. Yet researchers have identified a surprising weakness in many of today ...

Overview GPT-4 changed the standard for AI assistants, while newer models focus on reasoning, longer context, and completing ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. For researchers, that question has real-world consequences, from how robots ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

For more than 70 million Deaf and Hard-of-Hearing people worldwide, everyday communication still depends on human ...

Reflection AI unveiled Beam, a model it plans to release with open weights. Here is how founders can test the claims safely. The post Open Weight Models Get a Big Test With Reflection’s Beam appeared ...

Everyone talks about AI. Your LinkedIn and X feeds are drowning in it. Your organization probably mentioned it in last week’s meeting. Your cousin brought it up at dinner or you are already deep in ...

How large is a large language model? Think about it this way. In the center of San Francisco there’s a hill called Twin Peaks from which you can view nearly the entire city. Picture all of it—every ...

A new opinion piece in AI & Society argues that large language models are structurally incapable of categorical refusal, ...

In the next phase of enterprise AI, I believe token consumption will be a weak proxy for progress. Useful, reliable outcomes are the measure that matters. Choosing the smallest model that can reliably ...