Do AI chatbots understand reality? Researchers used "AI neuroscience" to prove that language models develop internal world models that mirror human intuition.

By Michael Krallmann, CEO, TransLegal. For the legal tech community, cross-jurisdictional meaning raises questions of risk, liability and trust. Increasingly capable models, wrapped in ...

Despite increasing use of artificial intelligence (AI) in health care, a new study led by Mass General Brigham researchers from the MESH Incubator shows that generative AI models continue to fall ...

Dynamic context engineering and the probabilistic reasoning frameworks it produces separate AI that earns lasting trust from ...

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

Most of what AI chatbots know about the world comes from devouring massive amounts of text from the internet—with all its ...

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

A new study by Google suggests that advanced reasoning models achieve high performance by simulating multi-agent-like debates involving diverse perspectives, personality traits, and domain expertise.

Grounded in peer-reviewed research, Zibble’s AI Signal Groups let organizations pressure-test decisions against real-world behavior patterns before launch. Signal Groups simulate market pressure.

AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...