#hallucinations

#hallucinations

AI companies are spending untold billions of dollars building out data centers to support behemoth AI models - and a return on their investments is still nowhere in sight. Valuations have soared well past the trillion-dollar mark, with AI chipmaker Nvidia becoming the world's most valuable company with a market cap that recently topped $4.5 trillion. But that's all, despite AI company revenues barely making a dent on balance sheets.

Anxiety over security and privacy were up 11 percent from last year, while concerns over ethical AI and transparency also ticked up. In addition, there was a massive drop-off in hype compared to last year, when buzzy AI research startups dominated headline after headline. In 2024, scientists surveyed said they believed AI was already surpassing human abilities in over half of all use cases. In 2025, that belief dropped off a cliff, falling to less than a third.

But rarely does the process go smoothly enough for prime time. The jury's still out on whether experienced programmers actually benefit from using AI coding assistants, and the tech's shortcomings are even more obvious when it's being relied on by untrained amateurs who openly embrace the whole shtick of working off mainly "vibes." Nothing illustrates that last point better than the fact that some veteran programmers are apparently now making a killing by fixing these AI-hallucinated disasters, which interviewed a few of these canny opportunists.

'When we sleep, our motor muscles are prevented from moving - a physiological state called atonia,' Anderson told the Daily Mail. 'It protects us from getting up and acting out our dreams and keeps us safely tucked up in bed. 'But if you start to wake up before your body moves out of atonia, you may experience an in-limbo state, half awake (yet also half dreaming) and unable to move. 'Although sleep paralysis only lasts a few seconds, the terrifying experience feels so real that you feel doomed.'

Google's Med-Gemini showcases advanced multimodal functions that potentially enhance workflows for clinicians, researchers, and patients, according to leaders Greg Corrado and Joëlle Barral.

"She believed she had seen the deceased kill his mother and that the deceased was evil. She heard a voice telling her to kill him three times."

OpenAI's new o3 and o4-mini models, despite advancements, exhibit increased hallucination rates, raising concerns about the reliability of AI in generating factual information.