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.

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...

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 ...

Which AI trends are coming in 2026? Euronews Next looks at the rise of world models and small language models as alternatives ...

If you are searching for ways to run the larger language models with billions of parameters you might be interested in a method that utilizes Mac computers in clusters. Running large AI models, such ...

Salesforce Inc. today announced the open-source release of its in-house family of “large action models,” called xLAM, that it says offer lower cost and higher accuracy than much bigger artificial ...

APA has a mental health evaluation framework. I opted to augment the framework with an added focus on AI. Makes sense and is ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...

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, ...

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 ...

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...