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But in recent months, a new class of agents has arrived on the scene: ones built using large language models. Operator, an agent from OpenAI, can autonomously navigate a browser to order groceries or make dinner reservations. Systems like Claude Code and Cursor’s Chat feature can modify entire code bases with a single command. Manus, a viral agent from the Chinese startup Butterfly Effect, can build and deploy websites with little human supervision. Any action that can be captured by text—from playing a video game using written commands to running a social media account—is potentially within the purview of this type of system.
Scholars, too, are taking agents seriously. “Agents are the next frontier,” says Dawn Song, a professor of electrical engineering and computer science at the University of California, Berkeley. But, she says, “in order for us to really benefit from AI, to actually [use it to] solve complex problems, we need to figure out how to make them work safely and securely.”
From: The problem with AI agents | MIT Technology Review.
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