OpenAI's announcement of the release of ChatGPT and Whisper could spark a new AI goldrush, with companies able to experiment with the chatbot to create fully-fledged businesses. The release of API access to ChatGPT and Whisper makes it much easier and cheaper for companies to add AI capabilities to their applications. OpenAI has also changed its data retention policy, which could reassure businesses thinking of experimenting with ChatGPT. Businesses can now get paid for services built on the large language model, meaning chatbots are going to start appearing everywhere. Read the complete article at: www.wired.com

Erik Brynjolfsson is in great demand. The US professor whose research focuses on the relationship between digital tech and human productivity is nearing the end of a European speaking tour that's lasted nearly a month. Speaking via Zoom as he prepares for his imminent lecture in Oxford, the director of the Digital Economy Lab at the Stanford Institute for Human-Centered AI is enthused by recent "seminal breakthroughs" in the field. Brynjolfsson's tour – which has included appearances at the World Economic Forum in Davos and the Institute for the Future of Work in London – is neatly timed, because the recent arrival of ChatGPT on the scene has been capturing human minds, if not yet hearts. The large-scale language model, fed 300 billion words by developer OpenAI, caused a sensation with its powerful capabilities, attracting 1 million users within five days of its release in late November 2022.

ChatGPT has cast long shadows over the media as the latest form of disruptive technology. For some, ChatGPT is a harbinger of the end of academic and scientific integrity, and a threat to white collar jobs and our democratic institutions. How concerned should we be about generative artificial intelligence (AI)? The developers of ChatGPT describe it as "a model… which interacts in a conversational way" while also calling it a "horrible product" for its inconsistent results. It can write emails, summarize documents, review code and provide comments, translate documents, create content, play games, and, of course, chat.

Amrit Jassal is the Chief Technology Officer (CTO) and cofounder of Egnyte, a leading cloud-based collaboration and governance platform. ChatGPT and Dalle-E are the talks of the town as the new shiny object that could potentially disrupt Google's hegemony. The hype cycle, as usual, is high. AI dominated conversations around tech at this year's World Economic Forum in Davos, Switzerland. Even at this year's CES trade show, hundreds of exhibitors were listed under the show's artificial intelligence category--double those categorized as metaverse, cryptocurrency and blockchain combined.

Microsoft today introduced what it's calling the "next generation" of AI product updates across its business apps portfolio. They touch on both Power Platform, Microsoft's set of low-code tools for building apps and workflows, and Dynamics 365, the company's suite of enterprise resource planning (ERP) and customer relationship management (CRM) tools. In an interview with TechCrunch, Charles Lamanna, CVP of business apps and platform at Microsoft, described the updates as the logical next step on Microsoft's automation journey. Powered by tech from AI startup OpenAI and built using the Azure OpenAI Service, Microsoft's service that provides enterprise-tailored access to OpenAI's API, the new capabilities follow the rollout of OpenAI text-generating AI models in Power Platform four years ago and the more recent debut of generative AI capabilities in Viva Sales, Microsoft's seller experience app. "Over the last four years, we've been on a journey to bring generative AI and foundation models to the workplace," Lamanna said via email, noting that Microsoft has a longstanding partnership with OpenAI to commercialize the vendor's tech in Microsoft's own products and through the Azure OpenAI Service.

Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining significant attention from society. As a result, many individuals have become interested in related resources and are seeking to uncover the background and secrets behind its impressive performance. In fact, ChatGPT and other Generative AI (GAI) techniques belong to the category of Artificial Intelligence Generated Content (AIGC), which involves the creation of digital content, such as images, music, and natural language, through AI models. The goal of AIGC is to make the content creation process more efficient and accessible, allowing for the production of high-quality content at a faster pace. AIGC is achieved by extracting and understanding intent information from instructions provided by human, and generating the content according to its knowledge and the intent information. In recent years, large-scale models have become increasingly important in AIGC as they provide better intent extraction and thus, improved generation results. With the growth of data and the size of the models, the distribution that the model can learn becomes more comprehensive and closer to reality, leading to more realistic and high-quality content generation. This survey provides a comprehensive review on the history of generative models, and basic components, recent advances in AIGC from unimodal interaction and multimodal interaction. From the perspective of unimodality, we introduce the generation tasks and relative models of text and image. From the perspective of multimodality, we introduce the cross-application between the modalities mentioned above. Finally, we discuss the existing open problems and future challenges in AIGC.

What areas of the broader market are likely to be affected? What products are likely to emerge? Is it just the newest hype cycle similar to VR and crypto? It is a good time to present some of the events since the ChatGPT story broke into the mainstream, as well as to test the technology, and to provide a market angle. "I am ChatGPT, a large language model trained by OpenAI. I am designed to answer a wide range of questions and engage in conversations on a variety of topics. I use natural language processing and machine learning algorithms to understand the context and meaning behind the words you input and provide relevant and accurate responses. While I am not a sentient being and do not have emotions or beliefs, I strive to provide helpful and informative responses to the best of my abilities."

DALL-E 2 lets you create images you never thought possible, all from a little bit of original text. OpenAI originally introduced DALL-E in January 2021, and then one year later introduced the new and improved DALL-E 2, which generates more realistic photos with four times greater resolution. When you look at the photos produced by the original DALL-E tool, they are much blurrier and less recognizable than the photos produced by DALL-E 2 with the same text prompts. To use DALL-E, all you have to do is create an account to start a free trial with 50 free credits for the first month and 15 free credits every following month. When you have an idea for a photo, you'll type a detailed text description and enter it into DALL-E 2 to produce many AI variations to choose from.

The rise of predictive artificial intelligence and chatbots such as OpenAI Inc.'s ChatGPT has been well-documented, but not so well-documented is a concurrent rise in scams trying to take advantage of the hype in the sector. A new report from researchers at S.C. Bitdefender SRL today shines some light on the rise of highly sophisticated investment scams and how they're trying to use the excitement around ChatGPT to suck in potential victims. The "AI-powered" fraudulent campaigns typically begin with unsolicited emails that have subject lines such as "ChatGPT: New AI bot has everyone going crazy about it" and "New ChatGPTchatbot is make [sic] everyone crazy now – but it'll very soon be as mundane a tool as Google." The emails typically include fake OpenAI and ChatGPT graphics (image above) to make them appear to be legitimate emails. Upon accessing the link in the email, users are directed to a copycat version of ChatGPT, luring them with financial opportunities that pay up to $10,000 per month "on the unique ChatGPT platform."

The sudden popularity of generative AI has re-generated a popular pre-pandemic preoccupation: How many jobs will AI destroy? Some prediction experts predicted a decade ago that almost half of U.S. jobs could be replaced by AI by 2023 (!) or, at most, by 2033, mainly impacting low-skill jobs (e.g., no more truck drivers because we will have self-driving trucks). Other crystal-ball observers argued that in contrast to previous waves of automation, we are entering a new era in which the most affected will be highly-skilled knowledge workers. The tight labor market of recent years has suppressed somewhat these dire predictions. The widespread excitement about generative AI, however, is bringing back the anxiety about jobs, especially the creative kind of jobs.