Imagine sitting down with an AI model for a spoken two-hour interview. A friendly voice guides you through a conversation that ranges from your childhood, your formative memories, and your career to your thoughts on immigration policy. Not long after, a virtual replica of you is able to embody your values and preferences with stunning accuracy. That’s now possible, according to a new paper from a team including researchers from Stanford and Google DeepMind, which has been published on arXiv and has not yet been peer-reviewed.  Led by Joon Sung Park, a Stanford PhD student in computer science, the team […]

A crowd gathered at the MIT Media Lab in September for a concert by musician Jordan Rudess and two collaborators. One of them, violinist and vocalist Camilla Bäckman, has performed with Rudess before. The other — an artificial intelligence model informally dubbed the jam_bot, which Rudess developed with an MIT team over the preceding several months — was making its public debut as a work in progress. Throughout the show, Rudess and Bäckman exchanged the signals and smiles of experienced musicians finding a groove together. Rudess’ interactions with the jam_bot suggested a different and unfamiliar kind of exchange. During one […]

For roboticists, one challenge towers above all others: generalization — the ability to create machines that can adapt to any environment or condition. Since the 1970s, the field has evolved from writing sophisticated programs to using deep learning, teaching robots to learn directly from human behavior. But a critical bottleneck remains: data quality. To improve, robots need to encounter scenarios that push the boundaries of their capabilities, operating at the edge of their mastery. This process traditionally requires human oversight, with operators carefully challenging robots to expand their abilities. As robots become more sophisticated, this hands-on approach hits a scaling […]