Tech companies want to build artificial general intelligence. But who decides when AGI is attained?

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There’s a race underway to build artificial general intelligence, a futuristic vision of machines that are broadly as smart as humans or at least can do many things as well as people can.

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But what exactly is AGI and how will we know when it’s been attained? Once on the fringe of computer science, it’s now a buzzword that’s being constantly redefined by those trying to make it happen.— which describes the AI systems behind the crop of tools that “generate” new documents, images and sounds — artificial general intelligence is a more nebulous idea.“I don't think there is agreement on what the term means,” Hinton said by email this week.

Improvements in “autoregressive” AI techniques that predict the most plausible next word in a sequence, combined with massive computing power to train those systems on troves of data, have led to impressive chatbots, butthe AGI that many people had in mind. Getting to AGI requires technology that can perform just as well as humans in a wide variety of tasks, including reasoning, planning and the ability to learn from experiences.

Cohen made clear in an interview Thursday that such long-term AI planning agents don't yet exist. But “they have the potential to be” as tech companies seek to combine today's chatbot technology with more deliberate planning skills using a technique known as reinforcement learning.

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