Anthropic warns small AI models may soon self-replicate across IoT devices without data centers, raising major AI safety ...

AI copying itself to another device and starting to run there—it sounds like science fiction, but researchers have already ...

Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...

MIT and Sakana AI's SIFT framework reduces coding agent evaluation costs by using a language model to rank candidates, achieving 35.1% accuracy on Polyglot.