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Recent studies reveal intriguing insights into human behavior and technological advancements. Cognitive scientists at MIT explored why legal language is often complex, attributing it to a desire for authority and adherence to tradition. Meanwhile, archaeologists at UC Berkeley debunked the myth of mammoth hunting, showing that these creatures were likely taken down using strategically placed spikes.
In the realm of technology, significant strides were made in AI processing with the development of a tensor processor chip using carbon nanotubes, promising energy efficiency. Additionally, researchers at the University of Alberta introduced a method for AI systems to learn indefinitely by resetting network weights, showcasing the potential for continuous learning in artificial intelligence.
• MIT researchers link legal language complexity to authority and tradition.
• University of Alberta develops method for AI systems to learn indefinitely.
The development of a tensor processor chip using carbon nanotubes could enhance energy efficiency in AI applications.
The University of Alberta's new approach enables AI systems to reset weights, facilitating ongoing learning.
MIT's research on cognitive science provides insights into human behavior and legal language.
UC Berkeley's findings on mammoth hunting challenge long-held beliefs about early human behavior.
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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