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Scientists create AI models that can talk to each other and pass on skills with limited human input
Scientists modeled human-like communication skills and the transfer of knowledge between AIs — so they can teach each other to perform tasks without a huge amount of training data.
That understanding was then inverted so the RNN could communicate the results of its sensorimotor learning using linguistic instructions to an identical sibling AI, which carried out the tasks in turn — also having never performed them before. However, by simulating the areas of the human brain responsible for language perception, interpretation and instructions-based actions, the researchers created an AI with human-like learning and communication skills. This won't alone lead to the rise of artificial general intelligence (AGI) — where an AI agent can reason just as well as a human and perform tasks in multiple areas.
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