The Digital Twin Evaluation Framework скачать в хорошем качестве

The Digital Twin Evaluation Framework

WAPOR webinar on February 25 The concept of “Digital Twins“ – a virtual model designed to accurately replicate the characteristics and behaviors of a real-world counterpart – is hardly new. For decades, engineers have used digital replicas to stress-test jet engines and model urban power grids, while corporations have leveraged datasets to algorithmically predict consumer behavior. Governments and industries are already comfortable simulating the world to optimize it. But we are entering a new phase: moving from bespoke, “big data” statistical models to general-purpose AI agents capable of simulating complex, open-ended human behaviors. As organizations increasingly reach for off-the-shelf frontier models to simulate population dynamics or test policy, and as individuals deploy agents to act as their proxies in a multi-agent world, a critical question arises: How do we know these models are actually telling the truth about us? Our speaker for this webinar is Evan Hadfield. From the Collective Intelligence Project, Evan is a specialist in Human Computation, with past experience at Twitter and Clara Labs. An early organizer with Interact, a community of forward-thinking technologists, he has presented on the convergence of metaphysics, religion, society, and transformative tech. He lives in Mount Shasta, California.