Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Business continues to advance through entrepreneurs who understand changing markets and respond with practical, forwar ...

If you’re building with AI today — for business operations, content, automation or long-term strategy — don’t fall for the ...

"The ChatGPT moment for physical AI is here — when machines begin to understand, reason, and act in the real world," Nvidia ...

AI isn’t just bad at making clocks; it’s also bad at reading them. A 2025 study by technologist Alek Safar suggests that ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...

Contingency management theory says there’s no one-size-fits-all approach — leaders must adapt strategies based on people, ...

We are living at a time when large language models increasingly make choices once reserved for people. From writing emails to guiding business decisions, these systems shape daily life. That shift has ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

OpenAI has validated Chain-of-Thought (CoT) monitoring as a primary safety mechanism for its frontier models, explicitly naming “GPT-5 Thinking” as its most monitorable system to date. The research ...

According to DeepLearning.AI, Moonshot AI has launched the Kimi K2 Thinking and Kimi K2 Thinking Turbo models, which leverage cycles of reasoning and tool use, making hundreds of calls to surpass ...