An exclusive conversation with OpenAI’s chief scientist, Jakub Pachocki, about his firm's new grand challenge and the future of AI.

Abstract: In the 21st century, while technical skills remain vital, employers increasingly prioritize critical thinking and problem-solving which signify core components of computational thinking (CT) ...

Abstract: Large Language Models (LLMs) typically reason via Chain-of-Thought (CoT) prompting or explicit training. Though many LLMs achieve similar accuracy on challenging tasks, such as math problem ...

AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we can't verify them. How will we know if they're right? When you purchase ...

Recently, a friend asked me a question that's been floating around every boardroom and business school: "With AI writing code, does programming still matter?" It's a fair question. Generative AI can ...

Tired of learning syntax for every new language? This project is built on the core belief that fundamental programming logic transcends language boundaries. By mastering the concepts here in ...

“There’s no time like the present,” says Chris GauthierDickey, associate professor and chair of the Department of Computer Science. “We’re at the beginning of a wave, and gaining these skills now ...

In the realm of competitive programming, both human participants and artificial intelligence systems encounter a set of unique challenges. Many existing code generation models struggle to consistently ...

Anthropic has unveiled Claude 3.7 Sonnet, a notable addition to its lineup of large language models (LLMs), building on the foundation of Claude 3.5 Sonnet. Marketed as the first hybrid reasoning ...