Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I continue my ongoing analysis of the ...
Apple's AI research team has uncovered significant weaknesses in the reasoning abilities of large language models, according to a newly published study. The study, published on arXiv, outlines Apple's ...
Large language models (LLMs) can store and recall vast quantities of medical information, but their ability to process this information in rational ways remains variable. A new study led by ...
On Tuesday, OpenAI announced that o3-pro, a new version of its most capable simulated reasoning model, is now available to ChatGPT Pro and Team users, replacing o1-pro in the model picker. The company ...
BEIJING -- A joint research team has developed a general artificial intelligence (AGI) system capable of both autonomous problem proposing and automated problem solving, marking a critical milestone ...
A new study suggests that artificial intelligence systems approach strategic decision-making with a higher degree of mathematical optimization than human players, often outperforming humans in games ...
Weighing up arguments, drawing logical conclusions and deriving a clearly correct answer—such tasks have so far presented ...
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Scientists found AI’s fatal flaw—the most advanced models are failing basic logic tests
Here’s what you’ll learn when you read this story: Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, ...
As the way of managing enterprise data assets evolves from simple accumulation to value extraction, the role of AI has shifted accordingly: it is no longer limited to basic data processing and ...
In a new paper that’s making waves, scientists from Stanford, Cal Tech, and Carleton College have combined existing research with new ideas to look at the reasoning failures of large language models ...
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