The success of Artificial Intelligence (AI) in multiple disciplines and vertical domains in recent years has promoted the evolution of mobile networking and the future Internet toward an AI-integrated Internet-of-Things (IoT) era. Nevertheless, most AI techniques rely on data generated by physical devices (e.g., mobile devices and network nodes) or specific applications (e.g., fitness trackers and mobile gaming). To bypass this circumvent, Generative AI (GAI), a.k.a. AI-generated content (AIGC), has emerged as a powerful AI paradigm; thanks to its ability to efficiently learn complex data distributions and generate synthetic data to represent the original data in various forms. This impressive feature is projected to transform the management of mobile networking and diversify the current services and applications provided. On this basis, this work presents a concise tutorial on the role of GAIs in mobile and wireless networking. In particular, this survey first provides the fundamentals of GAI and representative GAI models, serving as an essential preliminary to the understanding of the applications of GAI in mobile and wireless networking. Then, this work provides a comprehensive review of state-of-the-art studies and GAI applications in network management, wireless security, semantic communication, and lessons learned from the open literature. Finally, this work summarizes the current research on GAI for mobile and wireless networking by outlining important challenges that need to be resolved to facilitate the development and applicability of GAI in this edge-cutting area.

Earlier today, The Atlantic's CEO, Nicholas Thompson, announced in an internal email that the company has entered into a business partnership with OpenAI, the creator of ChatGPT. Editorial content from this publication will soon be directly referenced in response to queries in OpenAI products. In practice, this means that users of ChatGPT, say, might type in a question and receive an answer that briefly quotes an Atlantic story; according to Anna Bross, The Atlantic's senior vice president of communications, it will be accompanied by a citation and a link to the original source. Other companies, such as Axel Springer, the publisher of Business Insider and Politico, have made similar arrangements. It does all feel a bit like publishers are making a deal with--well, can I say it?

Meta Platforms removed hundreds of Facebook accounts associated with covert influence campaigns from China, Israel, Iran, Russia and other countries, some of which used artificial intelligence tools to generate disinformation, according to the company's quarterly threat report. Meta, the parent of Facebook, Instagram and WhatsApp, has seen threat actors rely on AI to produce fake images, videos and text to try to influence users on its sites. But the use of generative AI didn't affect the company's ability to disrupt those networks, Meta said Wednesday in the report.

Sign up to receive our twice-weekly News & Politics newsletter. Kyle Chayka, a New Yorker staff writer and the author of the Infinite Scroll column, joins Tyler Foggatt to discuss the latest ChatGPT release--which uses a voice that sounds, suspiciously, like that of Scarlett Johansson's character in the dystopian sci-fi movie "Her." Chayka has reported extensively on artificial intelligence, and he describes some recent blunders that tech companies, including OpenAI and Google, have made in trying to push their products through. Tune in to The Political Scene wherever you get your podcasts.

As more people use OpenAI's ChatGPT and other chatbots to find information, AI companies are trying to find ways to get the most up-to-date, helpful and accurate information into their products. AI models still often make up false information, so relying on news content from third parties is a way to increase the trustworthiness of AI answers.

In the last few months, news organizations have leapt into bed with OpenAI, hatching Faustian bargains where the cash-strapped media industry exchanges a monetary pittance for OpenAI's right to scrape and integrate their content into things like ChatGPT. Those that have signed in blood include News Corp (publisher of the Wall Street Journal), the Financial Times, People magazine publisher Dotdash Meredith, the AP, and now, The Atlantic and Vox Media. The Atlantic and Vox Media quickly confirmed these new deals shortly after Axios first published the news. The Atlantic says that it'll be a "premium news source" in OpenAI and that all its citations will be clearly attributed to The Atlantic with links back to the original content. There are concerns from publishers that users of AI chatbots don't actually need to go to the original sources; perhaps the calculus is that, for an industry in the twilight of its lifespan, some inbound link traffic is better than none.

"As applications move to the cloud, more and more opportunities are getting unlocked," says Vinod Mamtani, vice president and general manager of generative AI services for Oracle Cloud Infrastructure. "For example, the application of AI and generative AI are transforming businesses in deep ways." No longer simply a software and infrastructure upgrade, cloud is now a powerful technology capable of accelerating innovation, improving agility, and supporting emerging tools. In order to capitalize on cloud's competitive advantages, however, businesses must ask for more from their cloud transformations. Every business operates in its own context, and so a strong cloud solution should have built-in support for industry-specific best practices.

Preparing an organization's data for AI, however, unlocks a new set of challenges and opportunities. This MIT Technology Review Insights survey report investigates whether companies' data foundations are ready to garner benefits from generative AI, as well as the challenges of building the necessary data infrastructure for this technology. In doing so, it draws on insights from a survey of 300 C-suite executives and senior technology leaders, as well on in-depth interviews with four leading experts. Data integration is the leading priority for AI readiness. In our survey, 82% of C-suite and other senior executives agree that "scaling AI or generative AI use cases to create business value is a top priority for our organization."

OpenAI says it's setting up a safety and security committee and has begun training a new AI model to supplant the GPT-4 system that underpins its ChatGPT chatbot. The San Francisco startup said in a blog post Tuesday that the committee will advise the full board on "critical safety and security decisions" for its projects and operations. The safety committee arrives as debate swirls around AI safety at the company, which was thrust into the spotlight after a researcher, Jan Leike, resigned and leveled criticism at OpenAI for letting safety "take a backseat to shiny products." OpenAI co-founder and chief scientist Ilya Sutskever also resigned, and the company disbanded the "superalignment" team focused on AI risks that they jointly led. Leike said Tuesday he's joining rival AI company Anthropic, founded by ex-OpenAI leaders, to "continue the superalignment mission" there.

It was clear that OpenAI was on to something. In late 2021, a small team of researchers was playing around with a new version of OpenAI's text-to-image model, DALL-E, an AI that converts short written descriptions into pictures: a fox painted by Van Gogh, perhaps, or a corgi made of pizza. Now they just had to figure out what to do with it. Nobody could have predicted just how big a splash this product was going to make. The rapid release of other generative models has inspired hundreds of newspaper headlines and magazine covers, filled social media with memes, kicked a hype machine into overdrive--and set off an intense backlash from creators.