disruptor

Collaborative use of large language models (LLMs) significantly boosts team performance and complex problem-solving, enabling organizations to achieve higher efficiency, creativity, and innovation compared to individuals or teams without AI support

Centaur AI accurately predicts not only human choices but also reaction times, outperforming traditional models and offering powerful new insights into cognitive processes and decision-making patterns across diverse scenarios.

Anthropic has launched the Economic Futures Program to research the economic and labor market impacts of AI, offering grants and promoting data transparency. The initiative aims to support evidence-based policy and uncover both the risks and opportunities AI presents for the future of work.

MIT’s “periodic table” for machine learning organizes algorithms via shared math principles, enabling systematic AI innovation and improved model performance.

Discover how AI learns languages visually—mirroring ancient writing evolution—by leveraging visual theory of mind, bridging the gap between pictographs and abstract symbols.