The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

Artificial intelligence has rapidly advanced, transforming countless industries and reshaping how work gets done. Yet even as AI models become more capable,

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real gambling addiction among humans. A growing ecosystem of companies and technologies is deploying AI to detect problem gambling early and intervene before behavior escalates into serious harm.

A new study suggests AI models like ChatGPT and Claude consistently overestimate how rational humans really are, leading them to misjudge how people behave in strategic situations.

Business Insider's AI Power List highlights the most powerful people shaping artificial intelligence. See who's driving the next wave.

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Now that many AI algorithms have mastered simple tasks, companies are looking to train their models on data directly from engineers, lawyers, scientists, and more.

To help HR teams leverage generative AI tools successfully and mitigate risks, Forbes Human Resources Council members share their best tips. Generative AI helps HR professionals streamline compensation planning by automating tasks like project planning,

BMW’s updated Intelligent Personal Assistant uses a generative AI model that understands language and formulates its own responses. Attendees at this month’s Consumer Electronics Show (CES) will be able to experience the system first-hand, before it is launched in the second half of this year.

Nvidia CEO Jensen Huang launched Alpamayo, an open reasoning AI model family for autonomous vehicles, and Rubin, a six-chip platform promising AI tokens at