Health Psychology Mental Health Go ahead and swear--it's good for your health Cursing can boost your workout, mood, and even confidence. Breakthroughs, discoveries, and DIY tips sent every weekday. Yelling a properly timed swear word isn't only emotionally satisfying--it may have real physical and psychological benefits . In fact, a well-voiced expletive might even help take you to the next level during a particularly strenuous workout. "In many situations, people hold themselves back--consciously or unconsciously--from using their full strength," explained Richard Stephens, a psychologist at Keele University in the United Kingdom.

Good Job is Slate's advice column on work. Have a workplace problem big or small? I am a hard-line hater of generative AI (ChatGPT, Midjourney, etc.). I think it's bad for the environment and bad for society. It burns water resources, exploits workers in the global south, plagiarizes art and writing, and eliminates badly needed entry-level jobs.

A mathematician has created an entirely new curse word based on a list of 186 offensive terms - and she said it is'the world's ultimate swear word. Sophie Maclean, a student at Kings College London, found'banger' is the supreme offensive term or'ber' for short. The researcher fed a list of popular'bad words' to a computer model, which then found the supreme word begins with the letter'b,' has four letters and ends in '-er.' Mclean found that when no inputs were given, the model made up words like'ditwat.' Most people have their favorite curse word, but a mathematician used their coding skills to create a new one deemed the world's ultimate swear word Maclean told BBC Science Focus: 'I think neither is as satisfying as a'f*ck' when you've stubbed your toe, or a'sh*t' when you realize you've forgotten your parent's birthday. But both feel like they could be quite good insults for people.'

An Echo Dot owner claims that Amazon's Alexa assistant has started calling him a's*******' whenever he asks the personal assistant to play him music. Micheal Slade, 29, was reportedly shocked when his Echo Dot speaker began to swear at him following his cancellation of his Amazon Prime subscription. The incident has reportedly left Amazon engineers puzzled -- with the tech firm offering Mr Slade gift cards and a year of free Prime membership in compensation. Software is available for the Echo Dot speaker that can make Alexa curse -- but it is unclear whether someone might have deliberately uploaded this to the device. An Echo Dot owner claims that Amazon's Alexa assistant has started calling him a's*******' whenever he asks the personal assistant to play him music Online business owner and Cwmbran, South Wales resident Michael Slade, 29, said that the trouble began the day after called Amazon to cancel his subscription to their Prime subscription service.

I use algorithms called neural networks to write humor. What's fun about neural networks is they learn by example - give them a bunch of some sort of data, and they'll try to figure out rules that let them imitate it. They power corporate finances, recognize faces, translate text, and more. I, however, like to give them silly datasets. I've trained neural networks to generate new paint colors, new Halloween costumes, and new candy heart messages.

I always seasoned my vocabulary with as many four-letter words as 50-cent ones, at least until my first child was born two years ago. That's when I found myself -- and I'm almost embarrassed to admit it -- watching my language. Something deep in my subconscious told me that profanity might harm him in some way, that even a fleeting expletive, like a curse word uttered while stumbling over a child gate, could do lasting damage. Because I was not only a new parent but also a cognitive scientist specializing in language, I decided to investigate the issue. And I'm happy to report that, nowadays, if I drop an f-bomb in front of my kid, I don't sweat it.

Profanity detection is often thought to be an easy task. However, past work has shown that current, list-based systems are performing poorly. They fail to adapt to evolving profane slang, identify profane terms that have been disguised or only partially censored (e.g., @ss, f$#%) or intentionally or unintentionally misspelled (e.g., biatch, shiiiit). For these reasons, they are easy to circumvent and have very poor recall. Secondly, they are a one-size fits all solution – making assumptions that the definition, use and perceptions of profane or inappropriate holds across all contexts. In this article, we present work that attempts to move beyond list-based profanity detection systems by identifying the context in which profanity occurs. The proposed system uses a set of comments from a social news site labeled by Amazon Mechanical Turk workers for the presence of profanity. This system far surpasses the performance of list-based profanity detection techniques. The use of crowdsourcing in this task suggests an opportunity to build profanity detection systems tailored to sites and communities.