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LiveScience
LiveScience
Owen Hughes

New 'Dragon Hatchling' AI architecture modeled after the human brain could be a key step toward AGI, researchers claim

Abstract digital background featuring flowing blue and green lines with glowing yellow particles, evoking a sense of data flow or neural networks.

Researchers have designed a new type of large language model (LLM) that they propose could bridge the gap between artificial intelligence (AI) and more human-like cognition.

Called "Dragon Hatchling," the model is designed to more accurately simulate how neurons in the brain connect and strengthen through learned experience, according to researchers from AI startup Pathway, which developed the model. They described it as the first model capable of "generalizing over time," meaning it can automatically adjust its own neural wiring in response to new information.

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