Refusal mechanisms in large language models (LLMs) are essential for ensuring safety. Recent research has revealed that refusal behavior can be mediated by a single direction in activation space, enabling targeted interventions to bypass refusals. While this is primarily demonstrated in an English-centric context, appropriate refusal behavior is important for any language, but poorly understood. In this paper, we investigate the refusal behavior in LLMs across 14 languages using PolyRefuse, a multilingual safety dataset created by translating malicious and benign English prompts into these languages. We uncover the surprising cross-lingual universality of the refusal direction: a vector extracted from English can bypass refusals in other languages with near-perfect effectiveness, without any additional fine-tuning. Even more remarkably, refusal directions derived from any safety-aligned language transfer seamlessly to others. We attribute this transferability to the parallelism of refusal vectors across languages in the embedding space and identify the underlying mechanism behind cross-lingual jailbreaks. These findings provide actionable insights for building more robust multilingual safety defenses and pave the way for a deeper mechanistic understanding of cross-lingual vulnerabilities in LLMs.

Fox News senior national correspondent Aishah Hasnie breaks down Democrats' coordinated protests against President Donald Trump's speech to Congress on'Special Report.' Conservatives on social media slammed Senate Democrats for posting videos with identical scripts ahead of President Donald Trump's joint address to Congress Tuesday night. Mashups of the identical videos, which included Sen. Cory Booker, D-N.J., leading the "Sh-- That Ain't True" social media campaign, have gone viral on social media. Many conservatives on social media, including Elon Musk, are asking, "Who is writing the words that the puppets speak? Senators Elizabeth Warren, D-Mass., and Chuck Schumer, D-N.Y., led the charge with their matching social media videos this morning. About two dozen Senate Democrats have since followed with their own identical posts. The video begins with a clip of Trump vowing to "bring prices down starting on day one" followed by a cut-in of the Senate Democrats saying: "Sh-- That Ain't True?

The thing that we have to come to grips with in a world of ubiquitous, powerful AI tools is how much it can do for us. The multiplier on human effort is unprecedented, and potentially disruptive. But this fact can often feel abstract. So I decided to run an experiment. I gave myself 30 minutes, and tried to accomplish as much as I could during that time on a single business project.

Google Analytics 4 (GA4) is the latest version of Google Analytics, designed to provide more comprehensive data tracking across different platforms. One of the key features of GA4 is its use of machine learning, which can help businesses optimise their paid marketing campaigns. Here's how to leverage GA4's machine learning to optimise your paid marketing campaigns: To optimise your paid marketing campaigns, you need to track conversions. Conversion tracking allows you to measure the specific actions you want users to take, such as purchasing or filling out a lead form. GA4's machine learning algorithms can use this data to identify which campaigns and channels drive the most valuable conversions.

Social media marketing can be a time-consuming job, especially when you have to manage multiple platforms and an ever-growing community. If your company depends on social media for marketing purposes, then it's important to optimize the process as much as possible. Tools powered by machine learning can help with this task by taking over some of the more tedious aspects of social media marketing. Machine learning gives computers systems the ability to learn without having to be programmed every time. In other words, a machine can adjust its behavior based on data and experience, rather than being explicitly programmed with fixed rules. Machine learning has many uses in marketing, from content creation for different platforms to targeted advertisements that speak to the specific needs of your audience.

Social media and AI both have emerged as great ways of marketing your business online. While social media provides you with a platform to potentially reach 4.2 billion people, AI has started to find applications in numerous marketing fields. And, when it comes to the combination of both, the market for AI in social media is expected to grow to $2.2 billion by 2023-- nearly a 4x jump from 2018. But, why is the market for social media and AI growing at such a rapid pace? The answer to this lies in the results that AI can help you derive for your social media campaigns.

Most of us use it personally, and, in many cases, on our employer's behalf as we run a full content strategy plan to best market the product or business we're offering, writes Louise Auty, Content Lead, Beaconsoft Ltd But how many of us are actually getting the best value out of it and using it in a way which gives the greatest return on investment for the hours we put in? Making the most of social media web analytics is a tricky proposition to get right as there's an almost unlimited mine of data out there and finding the hidden gems can be time consuming. An updated GreenZone, few additional features evaluated and here comes the refreshed Buyer's Guide no SMB can afford to miss! Different tools are available for different jobs, but the chances are most people will have at least taken a glance at Google Analytics, as well as the inbuilt data metrics provided by platforms such as Facebook, Twitter, Instagram, LinkedIn and the rest. Every time someone takes an action on a social media platform, a digital footprint is created. Each time someone else reads that content, they're adding to the footprint and widening its reach. Analysing that trail is where the skill comes in for digital marketers.

SAN FRANCISCO, CA – AI is transforming just about every part of the modern marketing department. From chatbots that cater to the immediate needs of online customers; to personalized ads that reach specific visitors; to strategic emails that reignite waning customer interest; to the smooth and hyper-intuitive website experiences that steer visitors to make a purchase. AI and intelligent technology plays a part in each and every one of these changes, and marketers will need to embrace it if they plan to keep up with the highly dynamic and competitive digital landscape they operate in today. As buyers shift from brick and mortar to the digital realm, chatbots are an increasingly important marketing technology. According to a survey by Oracle, 80 percent of companies plan to use chatbots by 2020.

While Artificial Intelligence (AI) may seem beyond our reach, it is becoming increasingly mainstream and undoubtedly will play a pivotal role in the future of PR. In fact, it has already entered the communication world, where companies like Condé Nast, Coca Cola and L'Oréal are using it to strengthen social media campaigns through a better understanding of consumer behavior. AI does this by observing, interpreting and evaluating vast volumes of unstructured data that would boggle the human mind. In the process, it uncovers patterns that reveal more targeted, wide-ranging and in-depth insights into consumers. AI can complete these tasks in seconds.

The maturity and widespread acceptance of social media marketing, combined with the expectation of being able to track everything in the era of big data, has created a lot of expectations. It has also raised deeper questions about performance. Using Google Analytics, we have the power to go deeper to prove the impact and value of our marketing efforts. We should never start the answer to a question months into a social media campaign with "I think" when we have the capacity to know the impact of digital marketing activities for sure. Google Analytics can be a great source of deeper insights for the social media marketer.