If you want to get a handle on all that, don’t expect any help from the AI companies—they’re turning on each other like it’s the last act in a zombie movie. Meta’s former chief AI scientist, Yann LeCun, is spilling tea, while Big Tech’s messiest exes, Elon Musk and OpenAI, are about to go to trial. Grab your popcorn. Source link
Excess body weight appears to be a direct cause of vascular dementia, with the damage largely driven by high blood pressure. A new genetic analysis indicates that maintaining a healthy weight and managing hypertension could prevent a substantial number of dementia cases. These findings were detailed in a study published recently in The Journal of Clinical Endocrinology & Metabolism. The relationship between obesity and cognitive decline has challenged researchers for decades. Previous observational studies frequently produced contradictory results regarding how body weight influences brain health. Some research indicated that obesity in midlife increased dementia risk. Other studies suggested that high body weight in late life might actually protect against the disease. This paradox often stems from the limitations of traditional observational research. In the early stages of dementia, patients frequently lose weight due to a loss of appetite or metabolic changes. This weight loss can make it appear as though being thin carries a higher risk, when in reality the disease caused the weight loss. To resolve these conflicting signals, a research team led by …
Mininyx Doodle/iStock/Getty Images Plus Follow ZDNET: Add us as a preferred source on Google. ZDNET’s key takeaways AIs were given work tasks already completed by real people. The AIs failed miserably compared with the human workers. But AI is getting smarter. One of the many fears about AI is that it will replace people in their jobs. And though such fears aren’t unfounded, they may be overblown, at least for now, according to a new study. Remote Labor Index To gauge whether artificial intelligence could complete a project as effectively as a human being, a group of researchers gave several AIs a series of work projects to perform. Already accomplished by real remote freelance workers, the projects covered game development, product design, architecture, data analysis, and video animation. More specifically, the tasks included such challenges as the following: Build an interactive dashboard for exploring data from the World Happiness Report. Create 3D animations to showcase the features of a new earbuds design and case. Create a 2D animated video advertising the offerings of a free …
The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an independent AI benchmarking organization whose rankings are closely watched by developers and enterprise buyers, released a major overhaul to its Intelligence Index that fundamentally changes how the industry measures AI progress. The new Intelligence Index v4.0 incorporates 10 evaluations spanning agents, coding, scientific reasoning, and general knowledge. But the changes go far deeper than shuffling test names. The organization removed three staple benchmarks — MMLU-Pro, AIME 2025, and LiveCodeBench — that have long been cited by AI companies in their marketing materials. In their place, the new index introduces evaluations designed to measure whether AI systems can complete the kind of work that people actually get paid to do. “This index shift reflects a broader transition: intelligence is being measured less by recall and more by economically useful action,” observed Aravind Sundar, a researcher who responded to the announcement on X (formerly …
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