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AI startup Prime Intellect has successfully completed the first decentralized training of a 10-billion-parameter language model. This significant achievement involved collaboration across computers located in the United States, Europe, and Asia. The model's training marks a milestone in the development of large language models, leveraging distributed computing resources to enhance performance and efficiency. In a separate development, researchers from Stanford University, Washington University, and Google DeepMind have created AI agents capable of predicting human behavior with 85% accuracy in social experiments, showcasing advancements in AI's ability to mimic human interactions.
It’s Time to Think About Super-Intelligent AI @bimedotcom @Khulood_Almani @theomitsa @FmFrancoise @sulefati7 @NathaliaLeHen @IanLJones98 @bamitav @sallyeaves @BetaMoroney @sonu_monika @TheAIObserverX https://t.co/sSlEEaBUXC https://t.co/vPNDB6lwbM
1,000 AI agents can now predict human behavior with 85% accuracy in social experiments @bimedotcom @Khulood_Almani @theomitsa @FmFrancoise @sulefati7 @NathaliaLeHen @IanLJones98 @bamitav @sallyeaves @BetaMoroney @sonu_monika @TheAIObserverX https://t.co/hRp8P9t4fh
Researchers from Stanford, Washington University, and Google DeepMind have created AI agents that can closely mimic human behavior in social experiments. https://t.co/GlOfQgQIHe
