A new academic study says the most effective use of artificial intelligence may be to strengthen human thinking and decision-making, rather than replace it. Published in the Journal of Knowledge Management, the paper examines how AI and human intelligence can work together to improve the way knowledge is created and shared across society.A new academic study says the most effective use of artificial intelligence may be to strengthen human thinking and decision-making, rather than replace it. Published in the Journal of Knowledge Management, the paper examines how AI and human intelligence can work together to improve the way knowledge is created and shared across society.Machine learning & AI[#item_full_content]

Slanguage: Why AI’s stylistic negation—’it’s not X, it’s Y’—is both annoying and doesn’t work

If you spend any amount of time on LinkedIn, you’ll have certainly come across this type of phrasing: “This isn’t a job, it’s a calling” or “This isn’t marketing, it’s a movement” or “This isn’t a tool, it’s a paradigm shift.”If you spend any amount of time on LinkedIn, you’ll have certainly come across this type of phrasing: “This isn’t a job, it’s a calling” or “This isn’t marketing, it’s a movement” or “This isn’t a tool, it’s a paradigm shift.”Machine learning & AI[#item_full_content]

Chatbots may fuel ‘delusional spirals’ that lead to real-world harm

Perhaps to the surprise of their creators, large language models have become confidants, therapists, and, for some, intimate partners to real human users. In a new study, AI researchers at Stanford studied verbatim transcripts of 19 real conversations between humans and chatbots to understand how these relationships arise, evolve, and, too often, devolve into troubling outcomes the researchers describe as “delusional spirals.”Perhaps to the surprise of their creators, large language models have become confidants, therapists, and, for some, intimate partners to real human users. In a new study, AI researchers at Stanford studied verbatim transcripts of 19 real conversations between humans and chatbots to understand how these relationships arise, evolve, and, too often, devolve into troubling outcomes the researchers describe as “delusional spirals.”Consumer & Gadgets[#item_full_content]

When a service encounter goes south, customers expect empathy. Hearing an employee say, “I share your frustration,” can calm tensions and rebuild trust. But new research from the University of South Florida suggests that when a chatbot tries the same tactic, it can backfire.When a service encounter goes south, customers expect empathy. Hearing an employee say, “I share your frustration,” can calm tensions and rebuild trust. But new research from the University of South Florida suggests that when a chatbot tries the same tactic, it can backfire.Consumer & Gadgets[#item_full_content]

A new study, published in Anatomical Sciences Education, provides evidence that researchers and scientific organizations can significantly improve public access to accurate, high-quality information through structured engagement with Wikipedia, one of the most widely used knowledge platforms in the world and an increasingly influential source for both search engines and artificial intelligence systems.A new study, published in Anatomical Sciences Education, provides evidence that researchers and scientific organizations can significantly improve public access to accurate, high-quality information through structured engagement with Wikipedia, one of the most widely used knowledge platforms in the world and an increasingly influential source for both search engines and artificial intelligence systems.Internet[#item_full_content]

Amazon on Monday said it pumped another $5 billion into Anthropic as it ramps up its collaboration with the startup behind Claude artificial intelligence.Amazon on Monday said it pumped another $5 billion into Anthropic as it ramps up its collaboration with the startup behind Claude artificial intelligence.Business[#item_full_content]

Researchers used the world’s fastest supercomputer for open science to train an artificial intelligence model that captures magnetic turbulence within a plasma in unprecedented detail. Results from the model, trained on the Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory, could support research ranging from modeling a supernova to building the next generation of nuclear fusion reactors.Researchers used the world’s fastest supercomputer for open science to train an artificial intelligence model that captures magnetic turbulence within a plasma in unprecedented detail. Results from the model, trained on the Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory, could support research ranging from modeling a supernova to building the next generation of nuclear fusion reactors.Machine learning & AI[#item_full_content]

When assessing the ripeness of fruit, sight and smell can tell you a lot, but the best indicator is often how the fruit feels. Cornell researchers used stretchable fiber-optic sensors to create a soft robot gripper that can predict the ripeness of strawberries by touch, then gently twist them off their branch or vine without causing any damage.When assessing the ripeness of fruit, sight and smell can tell you a lot, but the best indicator is often how the fruit feels. Cornell researchers used stretchable fiber-optic sensors to create a soft robot gripper that can predict the ripeness of strawberries by touch, then gently twist them off their branch or vine without causing any damage.[#item_full_content]

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