Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of ...

What the firm found challenges some basic assumptions about how this technology really works. The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as ...

What if we could truly understand the “thoughts” of artificial intelligence? Imagine peering into the intricate inner workings of a large language model (LLM) like GPT or Claude, watching as it crafts ...

Google's Gemma 4 model goes fully open-source and unlocks powerful local AI - even on phones ...

Artificial intelligence in the revenue cycle management space is heating up as companies look to leverage the technology to ...

New research finds that forcing Large Language Models to give shorter answers notably improves the accuracy and quality of ...

The rise of large language models (LLMs) has revolutionized the capabilities of AI, allowing machines to generate human-like text, engage in conversations, and assist in decision-making processes.

The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...