Devastating truth about Rob Reiner's daughter Romy: Her own addiction battle... how she'lived in fear' of Nick... and the handsome companion she's leaning on, all revealed by heartbroken friends Baby-faced accused killers will be tried as adults after 14-year-old girl's horrific murder Trans killer, 30, who executed her parents then converted to Islam is jailed for 25 years after trying to skip'stressful' sentencing I'm Miley Cyrus's REAL mother: Woman at center of bombshell'adoption' lawsuit breaks silence about'pregnancy at age 12' and makes MORE wild claims School bus driver responds to backlash after she was fired over'English-only' sign Six common medications you should NEVER mix with alcohol: Doctors reveal how that'pre-emptive' painkiller could destroy your liver... and the most deadly combination of all Next domino falls in Michigan's Sherrone Moore scandal as top assistant defects to SEC school The extravagant gifts the rich are buying this Christmas including an'extra person' in their marriage I was forced into Witness Protection at age seven... here's how the program nearly ruined my life Former Nickelodeon star is now'homeless on the streets of Los Angeles' How Tom Brady REALLY feels about Gisele Bundchen's secret wedding to jiu-jitsu instructor... as insiders whisper about potential of his OWN second marriage The hidden blueprint to keep MAGA in power for 100 years as Trump's inner circle shows signs of cracking Kimberly Guilfoyle's'yelling fit' after ex Donald Trump Jr's new engagement... as insiders reveal her nasty texts and derogatory nickname for Bettina Anderson Smug because you love your job? READ MORE: Scientists reveal surprising secret behind Bill Gates' success The saying goes, if you find a job you love you'll never work a day in your life. But an expert has now warned that this can backfire - and the seemingly innocent idea of loving your work can take on a moral edge. Mijeong Kwon, assistant professor of management at Rice University in Texas, said the dream of enjoying your career has become compulsive for many. 'Working for money, prestige or family obligation starts to look less admirable, even suspect,' she wrote on The Conversation .

Language models exhibit human-like cognitive vulnerabilities, such as emotional framing, that escape traditional behavioral alignment. We present CCS-7 (Cognitive Cybersecurity Suite), a taxonomy of seven vulnerabilities grounded in human cognitive security research. To establish a human benchmark, we ran a randomized controlled trial with 151 participants: a "Think First, Verify Always" (TFVA) lesson improved cognitive security by +7.9% overall. We then evaluated TFVA-style guardrails across 12,180 experiments on seven diverse language model architectures. Results reveal architecture-dependent risk patterns: some vulnerabilities (e.g., identity confusion) are almost fully mitigated, while others (e.g., source interference) exhibit escalating backfire, with error rates increasing by up to 135% in certain models. Humans, in contrast, show consistent moderate improvement. These findings reframe cognitive safety as a model-specific engineering problem: interventions effective in one architecture may fail, or actively harm, another, underscoring the need for architecture-aware cognitive safety testing before deployment.

A "MALICIOUS" artificial intelligence bot that wrote a paper about itself could trigger World War III unless governments immediately curb its growing power, an expert has warned. AI and blockchain technology expert Herbert Sim said that the creation of GPT-3 - a program that can produce text indistinguishable from human writing - in 2020 had "opened Pandora's box". The tech expert warned that while certain groups and political oppositions could tap into using "troll bots" to undermine governments and spread fake news, their risks stretched much further. However, left unchecked, Sims claims the programs could use their "intelligence" to write malware and even weaponize drones and bioweapons, becoming lethal autonomous weapons (LAWs). "AI has helped technology shift forward hugely in recent decades, and undoubtedly there are lots of benefits to be reaped from it," he said.

There's no denying that artificial intelligence is having a huge impact on our lives. According to PwC, AI will add $16 trillion to the world's economy over the next 10 years as automated decision-making spreads widely. Despite this incredible impact, AI doesn't bring much value for some problems, like predicting a viral pandemic, forecasting the winner of the presidential election, or servicing clients with diverse needs, experts say. Data is, of course, the rootstock for all forms of AI, whether it takes the form of a basic search engine or a self-driving car. But it turns out that some data are quite hard to come by, even for some of the most high-impact events.

No one wants to be a nine-to-five robot. People want to feel inspired, find meaning, and see the impact their work has on others. And when they do, they're more engaged, innovative, and productive. If you're a leader, helping others feel a sense of purpose can be a powerful tool. So, why then do so many leaders have trouble lighting up their employees? The simple answer is it's extremely difficult to instill purpose in others.

In the first decades of the 20th century, people around the world began succumbing to an entirely new cause of mortality. These new deaths, due to the dangers of the automobile, soon became accepted as a lamentable but normal part of modern life. A hundred years later, with 1.25 million people worldwide (about 30,000 in the U.S.) being killed every year in road crashes, there's now an effort to reject the perception that these deaths are normal or acceptable. As reported in the New York Times, a growing number of safety advocates, government officials, and journalists are moving away from the phrase "car accident" on the grounds that it presumes that the drivers involved are blameless--a presumption that is correct only 6 percent of the time, according to a report by the U.S. Department of Transportation. The vast majority of such incidents are caused by drivers who make mistakes, take risks, or drive while distracted or impaired.

A technician works in a lab at GeseDNA Technology in Beijing. To counter China, the U.S. plans to impose new export restrictions on "emerging and foundational technology" that researchers say could affect the way they share genetic materials with international labs. A technician works in a lab at GeseDNA Technology in Beijing. To counter China, the U.S. plans to impose new export restrictions on "emerging and foundational technology" that researchers say could affect the way they share genetic materials with international labs. For the last 15 years, Addgene has dedicated itself to accelerating medical research.

Google has warned that advances in artificial intelligence may have a negative impact on its business, leading to fines and concerns over ethics. Demand for its products and services may falter over concerns surrounding the ethics and legality of machine learning, the search engine's parent company Alphabet warned in its latest annual report. "New products and services, including those that incorporate or utilise artificial intelligence and machine learning, can raise new or exacerbate existing ethical, technological, legal, and other challenges, which may negatively affect our brands and demand for our products and services and adversely affect our revenues and operating results," the filing stated....

According to the proposal, the purpose of the restrictions would be to bolster the U.S.'s national security -- after all, AI has many potential military uses, so why would the U.S. want to put that technology in the hands of nations such as China or North Korea? Silicon Valley opposes these AI export restrictions for a few reasons, according to the NYT's story. Perhaps most obviously, they could hurt American companies and help foreign ones. By limiting where companies such as Amazon and Google could sell their AI services, the restrictions would damage those companies' bottom lines. They'll also leave open a market gap that other nations, such as China, could fill.

Companies and governments increasingly rely upon algorithms to make decisions that affect people's lives and livelihoods – from loan approvals, to recruiting, legal sentencing, and college admissions. Less vital decisions, too, are being delegated to machines, from product recommendations to dating matches. In response, many experts have called for rules and regulations that would make the inner workings of these algorithms transparent. But transparency can backfire and cause confusion if not implemented carefully. Fortunately, there is a smart way forward.