Feed an Iranian news dispatch or a literary classic into some text detectors, and they return the same verdict: AI-generated. Then comes the pitch: pay to “humanize” the writing, a pattern experts say bears the hallmarks of a scam.Feed an Iranian news dispatch or a literary classic into some text detectors, and they return the same verdict: AI-generated. Then comes the pitch: pay to “humanize” the writing, a pattern experts say bears the hallmarks of a scam.Machine learning & AI[#item_full_content]

Heavy users of artificial intelligence report being overwhelmed by trying to keep up with and on top of the technology designed to make their lives easier.Heavy users of artificial intelligence report being overwhelmed by trying to keep up with and on top of the technology designed to make their lives easier.Machine learning & AI[#item_full_content]

For decades, video games have served as a proving ground for artificial intelligence. From early checkers programs to systems that conquered chess and Go, each milestone has seemed to bring machines closer to human-like intelligence. But a new paper by Julian Togelius and colleagues argues that this narrative is misleading. Despite impressive victories, today’s AI still struggles with a deceptively simple challenge: playing a game it has never seen before.For decades, video games have served as a proving ground for artificial intelligence. From early checkers programs to systems that conquered chess and Go, each milestone has seemed to bring machines closer to human-like intelligence. But a new paper by Julian Togelius and colleagues argues that this narrative is misleading. Despite impressive victories, today’s AI still struggles with a deceptively simple challenge: playing a game it has never seen before.Machine learning & AI[#item_full_content]

No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these common mistakes, Microsoft and a group of academics have developed an AI benchmark system to improve the accuracy of robot planning. The details of their work are published in a paper on the arXiv preprint server.No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these common mistakes, Microsoft and a group of academics have developed an AI benchmark system to improve the accuracy of robot planning. The details of their work are published in a paper on the arXiv preprint server.Robotics[#item_full_content]

No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these common mistakes, Microsoft and a group of academics have developed an AI benchmark system to improve the accuracy of robot planning. The details of their work are published in a paper on the arXiv preprint server.No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these common mistakes, Microsoft and a group of academics have developed an AI benchmark system to improve the accuracy of robot planning. The details of their work are published in a paper on the arXiv preprint server.[#item_full_content]

Artificial intelligence chatbots are so prone to flattering and validating their human users that they are giving bad advice that can damage relationships and reinforce harmful behaviors, according to a new study that explores the dangers of AI telling people what they want to hear.Artificial intelligence chatbots are so prone to flattering and validating their human users that they are giving bad advice that can damage relationships and reinforce harmful behaviors, according to a new study that explores the dangers of AI telling people what they want to hear.[#item_full_content]

Artificial intelligence chatbots are so prone to flattering and validating their human users that they are giving bad advice that can damage relationships and reinforce harmful behaviors, according to a new study that explores the dangers of AI telling people what they want to hear.Artificial intelligence chatbots are so prone to flattering and validating their human users that they are giving bad advice that can damage relationships and reinforce harmful behaviors, according to a new study that explores the dangers of AI telling people what they want to hear.Computer Sciences[#item_full_content]

Photon framework scales AI vulnerability discovery

Oak Ridge National Laboratory’s Center for Artificial Intelligence Security Research (CAISER) is shining a light on AI vulnerabilities. While AI models offer tremendous economic, humanitarian and national security potential, they are also increasingly susceptible to exploitation. Identifying and characterizing these vulnerabilities has required considerable intellectual effort and specialized expertise.Oak Ridge National Laboratory’s Center for Artificial Intelligence Security Research (CAISER) is shining a light on AI vulnerabilities. While AI models offer tremendous economic, humanitarian and national security potential, they are also increasingly susceptible to exploitation. Identifying and characterizing these vulnerabilities has required considerable intellectual effort and specialized expertise.Security[#item_full_content]

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