The question will be simple but perpetual: Person or machine? Every encounter with language, other than in the flesh, will now bring with it that small, consuming test. For some--teachers, professors, journalists--the question of humanity will be urgent and essential. For those who operate in the large bureaucratic apparatus of boilerplate--copywriters, lawyers, advertisers, political strategists--the question will be irrelevant except as a matter of efficiency. How will they use new artificial-intelligence technology to accelerate the production of language that was already mostly automatic? For everyone, the question will now hover, quotidian and cosmic, over words wherever you find them: Who's there?

The artificial intelligence research lab OpenAI has released GPT-4, the latest version of the groundbreaking AI system that powers ChatGPT, which it says is more creative, less likely to make up facts and less biased than its predecessor. Calling it "our most capable and aligned model yet", OpenAI cofounder Sam Altman said the new system is a "multimodal" model, which means it can take images as well as text as inputs, letting users ask questions about pictures. The new version can handle massive text inputs and can remember and act on more than 20,000 words at once, letting it take an entire novella as a prompt. The new model is available today for users of ChatGPT Plus, the paid-for version of the ChatGPT chatbot, which provided some of the training data for the latest release. OpenAI has also worked with commercial partners to offer GPT-4-powered services. A new subscription tier of language learning app Duolingo, Duolingo Max, will now offer English-speaking users AI-powered conversations in French or Spanish, and can use GPT-4 to explain the mistakes language learners have made.

Thank you for joining us on "The cloud hub: From cloud chaos to clarity." With any new technology-based tools, enterprises face concerns and cybersecurity risks. ChatGPT, the chatbot that created ripples in the internet world, could be used to generate malicious code. Read this article to know how you can mitigate the risks.

When Microsoft and OpenAI announced their renewed partnership in January, the two companies also revealed that Bing search would soon boast AI-enhanced lookup capabilities. Little did we know at the time, that Bing search has been powered for the past five weeks, not by the existing then-state-of-the-art GPT-3.5 model but by its even more robust successor, GPT-4. Microsoft envisions Bing -- and really Google is doing much the same with Bard -- serving as a pseudo-gatekeeper to the rest of internet's information, not unlike what AOL's early America Online service once did. Rather than direct users to other websites where they can find the information and context they seek on their own, these companies are looking to have generative AI systems (Bard and Bing) automatically summarize and display that information without ever leaving the branded search page. Any additional relevant context that the user might have stumbled across during their independent research will similarly be deigned by the algorithm.

Microsoft announced a mysterious AI event for March 16th, and it looks like we're getting a big ChatGPT upgrade this week in the form of GPT-4, which comes with multimodal support. That might mean nothing to most people, given that ChatGPT stormed the tech landscape just three months ago, and we're still learning what it can do and how it can disrupt tech as we know it. A multimodal ChatGPT chatbot is a massive upgrade for AI that already provides human-like responses to your queries. Currently, ChatGPT only supports text input or one mode of interaction. GPT-4 will support text, audio, video, and images as input. That's what makes it multimodal, a feature that could significantly increase the AI's capabilities.

ChatGPT and its AI powers could help writers and office workers improve their writing quality and decrease the time spent on tasks, cutting out busy work in favor of better, more productive work. However, the MIT study that suggested these conclusions also warned that employers could use AI to increase layoffs, too. The paper, "Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence" by Shakked Noy and Whitney Zhang of the economics department at MIT, is considered a working paper and has not been peer-reviewed. Still, the conclusions it found about ChatGPT's AI chatbot technology are both fascinating--and troubling, especially when the study factored in how it affects workers. The two doctoral students split 444 college-educated professionals into two groups, and assigned them to write press releases, email, short reports, and analysis plans--a normal workday for many people.

Less than four months after releasing ChatGPT, the text-generating AI that seems to have pushed us into a science-fictional age of technology, OpenAI has unveiled a new product called GPT-4. Rumors and hype about this program have circulated for more than a year: Pundits have said that it would be unfathomably powerful, writing 60,000-word books from single prompts and producing videos out of whole cloth. Today's announcement suggests that GPT-4's abilities, while impressive, are more modest: It performs better than the previous model on standardized tests and other benchmarks, works across dozens of languages, and can take images as input--meaning that it's able, for instance, to describe the contents of a photo or a chart. Unlike ChatGPT, this new model is not currently available for public testing (although you can apply or pay for access), so the obtainable information comes from OpenAI's blog post, and from a New York Times story based on a demonstration. From what we know, relative to other programs, GPT-4 appears to have added 150 points to its SAT score, now a 1410 out of 1600, and jumped from the bottom to the top 10 percent of performers on a simulated bar exam.

Hot on the heels of Google's Workspace AI announcement Tuesday, and ahead of Thursday's Microsoft Future of Work event, OpenAI has released the latest iteration of its generative pre-trained transformer system, GPT-4. Whereas the current generation GPT-3.5, which powers OpenAI's wildly popular ChatGPT conversational bot, can only read and respond with text, the new and improved GPT-4 will be able to generate text on input images as well. "While less capable than humans in many real-world scenarios," the OpenAI team wrote Tuesday, it "exhibits human-level performance on various professional and academic benchmarks." OpenAI, which has partnered (and recently renewed its vows) with Microsoft to develop GPT's capabilities, has reportedly spent the past six months retuning and refining the system's performance based on user feedback generated from the recent ChatGPT hoopla. What's more, the new GPT has outperformed other state-of-the-art large language models (LLMs) in a variety of benchmark tests.

The systems are "pre-trained" by analyzing trillions of words and images taken from across the internet: news articles, restaurant reviews and message-board arguments; memes, family photos and works of art. Giant supercomputer clusters of graphics processing chips then mapped out their statistical patterns -- learning which words tended to follow each other in phrases, for instance -- so that now the AI can mimic those patterns, automatically crafting long passages of text or detailed images, one word or pixel at a time.

As artificial intelligence (AI) technology continues to advance, businesses are finding new ways to incorporate it into their operations. One area where AI can be particularly useful is accounting and finance. In this blog post, we will discuss the advantages of using Chat GPT, a large language model, for accounting and finance. First, let's start with what Chat GPT is. Chat GPT stands for "Generative Pre-trained Transformer," and it's a type of AI model that is used for natural language processing (NLP).