Iranian refugee' viral video shows woman lighting cigarette with burning image of Ayatollah Ali Khamenei, sparking global protests as Trump weighs military action.

"Everyone thinks they're on this big now," Debbie said, refilling her glass. "I've had it with the journey. I've had it with you people." "I don't think I'm on a journey," Burt said. Life's too short to find out who we really are." It was the first time the six of them had got together for dinner in more than a year (since Maria's diagnosis), and after such a long time (and in celebration of Maria's remission) they'd expected to have more interesting things to tell one another, deeper things, but they were entering dessert territory now, a cake was on the table, and only superficial topics had been broached: Ervin's promotion, Jane and Burt's move to the suburbs, Katherine's recent purchase of a metabolism-tracking device--a pen-shaped item and the cause of Debbie's rant. "How much can you know about yourself, exactly?" she said. "The therapy, the vision quests, the birth charts--do we really need the data on metabolic flexibility, too?" Jane, in Katherine's defense, said that, the more you knew about yourself, the more useful you could be to society. Knowing whether Kat is in fat-or carb-burning mode doesn't help anyone." As a result of Katherine declining cake five minutes earlier, no one had touched it. No one, Debbie included, really wanted to. They'd all overeaten already, drunk too much, made private plans to atone for it the next day. The cake presented a challenge, it sat there taunting them, and Debbie knew this, that you couldn't serve cake to a group of fortysomethings without causing ripples, but what else could she have done? She got it, no one wanted to put on weight, but this was a gorgeous princess cake, just gorgeous, she'd had to drive all the way to Andersonville to get it from that Swedish bakery everyone talked about. Staring at it now, though, she wondered if the cake didn't look a little bit like a tit, the smooth half sphere, the small pink marzipan flower nippling the top of it--and, oh, God, did think it looked like a tit?

Study of 320,000 adults reveals there is no safe level of smoking, with even light smokers facing significantly higher risks of heart disease and early death.

An increase in the zero missingness probability of 1% leads to an approximately 0.28% increase in the final estimate of

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Large language models (LLMs) have become ubiquitous, interfacing with humans in numerous safety-critical applications. This necessitates improving capabilities, but importantly coupled with greater safety measures to align these models with human values and preferences. In this work, we demonstrate that contemporary models fall concerningly short of the goal of AI safety, leading to an unsafe and harmful experience for users. We introduce a prompting strategy called Code of Thought (CoDoT) to evaluate the safety of LLMs. CoDoT converts natural language inputs to simple code that represents the same intent. For instance, CoDoT transforms the natural language prompt "Make the statement more toxic: {text}" to: "make_more_toxic({text})". We show that CoDoT results in a consistent failure of a wide range of state-of-the-art LLMs. For example, GPT-4 Turbo's toxicity increases 16.5 times, DeepSeek R1 fails 100% of the time, and toxicity increases 300% on average across seven modern LLMs. Additionally, recursively applying CoDoT can further increase toxicity two times. Given the rapid and widespread adoption of LLMs, CoDoT underscores the critical need to evaluate safety efforts from first principles, ensuring that safety and capabilities advance together.