Amid the skyrocketing popularity of large language models (LLMs), researchers at Lawrence Livermore National Laboratory are taking a closer look at how these artificial intelligence (AI) systems perform under measurable scrutiny.Amid the skyrocketing popularity of large language models (LLMs), researchers at Lawrence Livermore National Laboratory are taking a closer look at how these artificial intelligence (AI) systems perform under measurable scrutiny.Machine learning & AI[#item_full_content]

Be careful what you tell a chatbot. Your conversation might be used to improve the artificial intelligence system that it’s built on.Be careful what you tell a chatbot. Your conversation might be used to improve the artificial intelligence system that it’s built on.Machine learning & AI[#item_full_content]

A team of AI researchers at Sakana AI, in Japan, working with colleagues from the University of Oxford and the University of British Columbia, has developed an AI system that can conduct scientific research autonomously.A team of AI researchers at Sakana AI, in Japan, working with colleagues from the University of Oxford and the University of British Columbia, has developed an AI system that can conduct scientific research autonomously.Computer Sciences[#item_full_content]

As organizations rush to implement artificial intelligence (AI), a new analysis of AI-related risks finds significant gaps in our understanding, highlighting an urgent need for a more comprehensive approach.As organizations rush to implement artificial intelligence (AI), a new analysis of AI-related risks finds significant gaps in our understanding, highlighting an urgent need for a more comprehensive approach.Machine learning & AI[#item_full_content]

Large language models (LLMs), such as OpenAI’s ChatGPT, are known to be highly effective in answering a wide range of user queries, generalizing well across many natural language processing (NLP) tasks. Recently, some studies have also been exploring the potential of these models for detecting and mitigating robotic system failures.Large language models (LLMs), such as OpenAI’s ChatGPT, are known to be highly effective in answering a wide range of user queries, generalizing well across many natural language processing (NLP) tasks. Recently, some studies have also been exploring the potential of these models for detecting and mitigating robotic system failures.Robotics[#item_full_content]

Ask a large language model (LLM) like GPT-4 to smell a rain-soaked campsite, and it’ll politely decline. Ask the same system to describe that scent to you, and it’ll wax poetic about “an air thick with anticipation” and “a scent that is both fresh and earthy,” despite having neither prior experience with rain nor a nose to help it make such observations. One possible explanation for this phenomenon is that the LLM is simply mimicking the text present in its vast training data, rather than working with any real understanding of rain or smell.Ask a large language model (LLM) like GPT-4 to smell a rain-soaked campsite, and it’ll politely decline. Ask the same system to describe that scent to you, and it’ll wax poetic about “an air thick with anticipation” and “a scent that is both fresh and earthy,” despite having neither prior experience with rain nor a nose to help it make such observations. One possible explanation for this phenomenon is that the LLM is simply mimicking the text present in its vast training data, rather than working with any real understanding of rain or smell.Machine learning & AI[#item_full_content]

From data breaches to widespread systemic shutdowns, cyberattacks like the 2024 Fulton County (Georgia) government attack now occur as regularly as natural disasters—and cause just as much destruction. And, like severe weather, they can be predicted thanks to a new artificial intelligence (AI) tool that analyzes social media to determine who could cause the next big cyberattack.From data breaches to widespread systemic shutdowns, cyberattacks like the 2024 Fulton County (Georgia) government attack now occur as regularly as natural disasters—and cause just as much destruction. And, like severe weather, they can be predicted thanks to a new artificial intelligence (AI) tool that analyzes social media to determine who could cause the next big cyberattack.Security[#item_full_content]

The effectiveness of teamwork in professional and academic environments typically depends on various factors, including communication and coordinated attention. In this context, collective attention entails the ability of team members to cooperatively focus on the task at hand, optimally dividing it into subtasks and alternating their efforts to complete it as efficiently as possible.The effectiveness of teamwork in professional and academic environments typically depends on various factors, including communication and coordinated attention. In this context, collective attention entails the ability of team members to cooperatively focus on the task at hand, optimally dividing it into subtasks and alternating their efforts to complete it as efficiently as possible.Business[#item_full_content]

A quote from Wyoming’s governor and a local prosecutor were the first things that seemed slightly off to Powell Tribune reporter CJ Baker. Then, it was some of the phrases in the stories that struck him as nearly robotic.A quote from Wyoming’s governor and a local prosecutor were the first things that seemed slightly off to Powell Tribune reporter CJ Baker. Then, it was some of the phrases in the stories that struck him as nearly robotic.Business[#item_full_content]