With the rapid rise of large language models in medicine, the conversation has shifted from "can AI do this?" to "can we trust it?" To explore this critical issue, we sat down with Laurent Giraid, a technologist whose work focuses on the intersection of artificial intelligence, machine learning,
Behind the sleek interfaces of the world's most advanced artificial intelligence, a quiet revolution is unfolding in the villages and small towns of rural India. While Silicon Valley engineers design complex algorithms, a vast, decentralized workforce is performing the foundational labor that makes
Today, we're joined by Laurent Giraid, a leading technologist and thinker at the nexus of artificial intelligence, sport, and society. With a keen eye for the ethical and cultural dimensions of machine learning, he helps us navigate the complex terrain where algorithms meet athleticism. We'll
The vast digital libraries of computationally designed materials hold the promise of transforming industries from energy to medicine, yet the overwhelming majority of these revolutionary substances exist only as theoretical models on a server. Researchers at the Massachusetts Institute of
A simple request for an image of a "sloth playing in the snow" recently took ten minutes to fulfill, not because of a system glitch but by deliberate design, revealing a profound conversation about the hidden costs of our digital immediacy. This calculated delay was the work of Quili.AI, a
A landmark study from researchers at the University at Albany has fundamentally altered our understanding of the internal workings of artificial intelligence, suggesting the geometric framework AI systems use to organize information is vastly more complex and dynamic than previously conceived. The
