In recent years, active learning has been successfully applied to an array of NLP tasks. However, prior work often assumes that training and test data are drawn from the same distribution. This is problematic, as in real-life settings data may stem from several sources of varying relevance and quality. We show that four popular active learning schemes fail to outperform random selection when applied to unlabelled pools comprised of multiple data sources on the task of natural language inference. We reveal that uncertainty-based strategies perform poorly due to the acquisition of collective outliers, i.e., hard-to-learn instances that hamper learning and generalization. When outliers are removed, strategies are found to recover and outperform random baselines. In further analysis, we find that collective outliers vary in form between sources, and show that hard-to-learn data is not always categorically harmful. Lastly, we leverage dataset cartography to introduce difficulty-stratified testing and find that different strategies are affected differently by example learnability and difficulty.

The scrappy underdog AI firm OpenAI has stirred the sleeping tech giants with its generative AI products, most recently and most prominently the conversational chatbot ChatGPT. Microsoft spent $10 billion on a partnership with OpenAI in an attempt to leap-frog its younger big tech competitors by weaving AI into many products; Google internally declared a "code red" and is cutting red tape to put out AI products more quickly, including a direct competitor to ChatGPT that was just announced; meanwhile Mark Zuckerberg has declared his intent to make Meta a "leader in generative AI," clearly a reaction to the attention OpenAI is garnering. The products these companies are suddenly striving for sound similar, but who will be the winner? Although much discussion has centered around the size of the AI models and how much data they are trained on, there's another factor that may matter a lot, too: the degree to which the contenders build trustworthy systems that don't unduly harm society and further destabilize democracy. OpenAI's earlier text generation product GPT-3 grabbed a lot of attention but never saw the widespread consumer adoption that ChatGPT has attained.

For decades, Microsoft was unable to "reinvent" the browser, sticking to its obsolete Internet Explorer until it got replaced by Edge, based on Google's Chromium. But now, according to the tech dinosaur, it is nothing less than "reinventing" both Bing, its search engine, and Edge, by making them "AI-powered." It is an undertaking Microsoft is carrying out together with OpenAI. Microsoft is a major investor (the figure reportedly runs into billions) in OpenAI, an artificial intelligence lab, so it's no surprise they would be partnering to "innovate." And they are doing it "responsibly," meaning that, "safeguards to defend against harmful content" and "address issues such as misinformation and disinformation (…) and preventing the promotion of harmful or discriminatory content" will be implemented.

The Arena Group, which licenses the rights to publish Sports Illustrated, says it plans to use AI tools across its brands. Sports Illustrated publisher Arena Group is investing in artificial intelligence (AI) to help produce articles and suggest story ideas through partnerships with AI startups Jasper and Nota, as well as ChatGPT creator OpenAI. The company said AI had already been used to compose articles in Men's Journal; a disclosure at the top of the articles describes them as "a curation of expert advice from Men's Fitness, using deep-learning tools for retrieval combined with OpenAI's large language model for various stages of the workflow." Arena Group's Ross Levinsohn said AI will not replace content creation but will give authors "real efficiency and real access to the archives we have." He also said AI might help suggest emerging topics on social media for journalists to investigate.

Male dominance in big-screen depictions of tech is putting women off careers in Artificial Intelligence (AI) where they are massively under-represented, warns new research. Women make up just eight percent of workers in films depicting Artificial Intelligence - and half of them are subordinate to men, according to the findings. University of Cambridge researchers claimed this "dangerous cultural stereotype" is emulated in the real-world shortage of women in the industry. Across the globe, just 22 percent of real-world AI professionals are women, versus 39 percent across all STEM fields (Science, Technology, Engineering and Medicine.) Researchers argue the gender chasm is exacerbated by films such as Iron Man and Ex Machina promoting cultural perceptions of AI as "the product of lone male geniuses."

By Divyanshi Sharma: Microsoft and ChatGPT's association dates a long time back. The tech giant had invested in OpenAI, the parent company of ChatGPT, years ago and recently the two companies further strengthened their partnership. Microsoft has been making headlines these days after it announced the all-new Bing, with enhanced AI capabilities aimed at redefining the way people look things up online. And now, Microsoft's co-founder, Bill Gates, has also expressed his views on ChatGPT and has said that it will'change the world'. A Reuters report originally attributed to a German daily, Handelsblatt, quotes Bill Gates saying that ChatGPT will make office jobs easier and will change the world that we live in.

OpenAI CEO Sam Altman (left) and Meta AI chief Yann LeCun (right) have differing views on the future ... [ ] of large language models. In case you haven't heard, artificial intelligence is the hot new thing. Generative AI seems to be on the lips of every venture capitalist, entrepreneur, Fortune 500 CEO and journalist these days, from Silicon Valley to Davos. To those who started paying real attention to AI in 2022, it may seem that technologies like ChatGPT and Stable Diffusion came out of nowhere to take the world by storm. Back in 2020, we wrote an article in this column predicting that generative AI would be one of the pillars of the next generation of artificial intelligence. Since at least the release of GPT-2 in 2019, it has been clear to those working in the field that generative language models were poised to unleash vast economic and societal transformation.

As wearables like glasses and watches become more popular among consumers and become more relevant to fashion trends, the market is expected to increase dramatically. In fact, it was found by SkyQuest in one of the research that more than 441 million smart wearables were supplied globally in 2021. Additionally, it is estimated that increasing usage of technologies like sophisticated cloud technology, IoT, and machine learning would increase demand for AI-based products, which will in turn propel market expansion. The wearable AI device market in North America region is predicted to gain the largest market share by growing at a significant CAGR during the forecast period. The growth of the market can be ascribed to the increasing adoption of cutting-edge technology, the presence of significant smart watch manufacturing businesses, and increasing consumer disposable income. Additionally, it is predicted that rising demand for smart timepieces/smartwatches in wealthy countries like the United States will spur market expansion. SkyQuest noted that in 2019, more than 20 million smartwatch pieces were sold in the USA and this is estimated to increase during the forecast period owing to growing urbanization and millennials' rising interest in smart gadgets.

I'm just an Organic AI trying to predict the next text while dodging the "GIGO." My alter ego name is "The Organic AI," and my passion is using OpenAI to explore the possibilities of AI applications. I share my insights and discoveries on my website, diving deep into the world of AI and its impact on our daily lives. From cutting-edge research to practical applications, I strive to stay ahead of the curve and bring my readers the most valuable and relevant information. Join me on this journey as we explore the future of AI together.

Check out all the on-demand sessions from the Intelligent Security Summit here. Generative AI, which is based on Large Language Models (LLMs) and transformer neural networks, has certainly created a lot of buzz. Unlike hype cycles around new technologies such as the metaverse, crypto and Web3, generative AI tools such as Stable Diffusion and ChatGPT are poised to have tremendous, possibly revolutionary impacts. These tools are already disrupting multiple fields -- including the film industry -- and are a potential game-changer for enterprise software. All of this has led Ben Thompson to declare in his Stratechery newsletter to declare generative AI advances as marking "a new epoch in technology."