The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

For a decade, the story of artificial intelligence has been told in ever larger numbers: more parameters, more GPUs, more ...

What if artificial intelligence could learn without any data? No datasets to train on, no human-labeled examples to guide it—just a system that evolves and improves entirely on its own. It sounds like ...

Deepseek has introduced a new approach to artificial intelligence (AI) development, emphasizing self-improvement through advanced methodologies such as inference time scaling, reinforcement learning, ...

Artificial intelligence (AI)—and especially generative AI—is becoming part of learners’ and educators’ everyday study, teaching, and assessment practices at ...

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. We need to give airtime to new AI architectures if we want to ...

On October 31, 2025, researchers revealed a groundbreaking innovation: a brain-inspired computer prototype designed to bring self-learning artificial intelligence (AI) capabilities directly to mobile ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...