These student-constructed problems foster collaboration, communication, and a sense of ownership over learning.

A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After ...

Educators debate AI in classrooms; responsible use teaches students skills, creativity, and workplace readiness.

For most people, solving a problem is the reward—the relief of being done, the achievement of having figured it out. Hyper-cognitive individuals often find the most satisfaction in the solving process ...

Four simple strategies—beginning with an image, previewing vocabulary, omitting the numbers, and offering number sets—can have a big impact on learning.

I challenged myself to build a fully functional gym using only primitive methods in just 50 hours. Every piece of equipment ...

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

PageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of ...