The general public discovered the existence of OpenAI's GPT-3.5 language model with the publication of ChatGPTChatGPT late last November. The next version, GPT-4, was expected for this year, but the launch is now said to be imminent. At a German conference AI in focus around Artificial Intelligence, Andreas Braun, CTO of MicrosoftMicrosoft Germany, said GPT-4 is expected to be announced in the coming days. The announcement should logically fall during Microsoft's conference on the future of work with AI (Future of Work with AI) scheduled for Thursday, March 16 at 5 p.m. French time. He did not specify whether Microsoft or OpenAI will make the announcement.

Following Microsoft, DuckDuckGo is now tapping OpenAI's ChatGPT technology to streamline its search engine. DuckAssist is a free feature that can pop up when you make a query on the DuckDuckGo search engine. By tapping AI algorithms, DuckAssist can offer a concise answer to your query at the top of the search page, removing the need to scroll through search results and visit a third-party website to find the answer. The approach could kill off traditional search results, like Microsoft is starting to do with the ChatGPT-powered Bing. But for now, DuckAssist's scope has been confined to only citing content from encyclopedia sites Wikipedia and Brittanica.

ChatGPT might well be the most famous, and potentially valuable, algorithm of the moment, but the artificial intelligence techniques used by OpenAI to provide its smarts are neither unique nor secret. Competing projects and open-source clones may soon make ChatGPT-style bots available for anyone to copy and reuse. Stability AI, a startup that has already developed and open-sourced advanced image-generation technology, is working on an open competitor to ChatGPT. "We are a few months from release," says Emad Mostaque, Stability's CEO. A number of competing startups, including Anthropic, Cohere, and AI21, are working on proprietary chatbots similar to OpenAI's bot.

With the continuous improvement of artificial intelligence (AI), expert research shows that AI has the power to double yearly economic growth rates by 2035 and completely revolutionize how humans work, create and communicate. However, the advent of AI engines like DALL·E 2, Midjourney and Point-E have left many creators worried that AI will leave humans with no creative outlet. The good news is that this is not the case. AI has advanced enough in its communication skills to even fill the role of a close companion or dynamic, interactive acquaintance. Programs like Journey AI and Replika have intriguing tag lines like "AI devoted to you" and "the AI companion who cares."

Groundbreaking large language model research from OpenAI, Google, Amazon, and others have transformed expectations of machine-generated software. But how do these AI assistants measure up against regular expressions--a workhorse technology for developers used to describe, find, and manipulate patterns in text. Regular Expression Puzzles and AI Coding Assistants is the story of two competitors. On one side is David Mertz, an expert programmer and the author of the Web's most popular Regex tutorial. On the other are the AI powerhouse coding assistants, GitHub Copilot and OpenAI ChatGPT.

Meta, the owner of Facebook, has developed a powerful language model that's its answer to OpenAI's insanely popular ChatGPT. OpenAI's ChatGPT has paved the way for the popularity of artificial intelligence-powered systems, demonstrating the immense power of language models trained on varying amounts of datasets, each containing gigabytes of data. Following the public release of ChatGPT were announcements from other companies joining the AI race, Google revealed more details about its various AI-projects, while Microsoft rolled out Bing Chat, an AI-powered search engine tool. Now Meta has thrown its hat into the ring with a new announcement about a language model called LLamA. While Meta's language model isn't publicly available, but users can request access to the download file.

The latest technological advances suggest that the "AI revolution" will deliver socioeconomic turmoil, massive wealth redistribution – or both. Recent months have seen a lot of conversation about the dangers and opportunities presented by the latest advances in artificial intelligence (AI) technology. Most of this has been stirred up by ChatGPT, a generative AI chatbot created by the Microsoft-backed OpenAI and launched to the public in late 2022. The software's impressive capabilities – formulating articulate, (usually) accurate responses to complex questions, and creating text often indistinguishable from that of a human writer – have reignited debates about "the robots taking over." Much of the public appears divided into two camps: the technophiles, excited about "upgrading" our already symbiotic relationship with computers; and the modern-day Luddites, foes of progress who fear these new machines just as their predecessors feared textile mechanization.

Azure OpenAI Service is now available in preview, and ChatGPT is available in preview as well. With Azure OpenAI Service, over 1,000 customers are applying the most advanced AI models--including Dall-E 2, GPT-3.5, Codex, and other large language models backed by the unique supercomputing and enterprise capabilities of Azure--to innovate in new ways. Since ChatGPT was introduced late last year, we've seen a variety of scenarios it can be used for, such as summarizing content, generating suggested email copy, and even helping with software programming questions. Now with ChatGPT in preview in Azure OpenAI Service, developers can integrate custom AI-powered experiences directly into their own applications, including enhancing existing bots to handle unexpected questions, recapping call center conversations to enable faster customer support resolutions, creating new ad copy with personalized offers, automating claims processing, and more. Today, we are thrilled to announce that ChatGPT is available in preview in Azure OpenAI Service.

Artificial intelligence has become the tech industry's shiny new toy, with expectations it'll revolutionize trillion-dollar industries from retail to medicine. But the creation of every new chatbot and image generator requires a lot of electricity, which means the technology may be responsible for a massive and growing amount of planet-warming carbon emissions. Microsoft Corp., Alphabet Inc.'s Google and ChatGPT maker OpenAI use cloud computing that relies on thousands of chips inside servers in massive data centers across the globe to train AI algorithms called models, analyzing data to help them "learn" to perform tasks. The success of ChatGPT has other companies racing to release their own rival AI systems and chatbots or building products that use large AI models to deliver features to anyone from Instacart shoppers to Snap users to CFOs. AI uses more energy than other forms of computing, and training a single model can gobble up more electricity than 100 US homes use in an entire year.

Auchincloss, who spent time working as a project manager at a cybersecurity startup before running for Congress, said three trends had to converge to lead to the current breakthrough in generative AI: "You had the academic research that created the algorithms and deep learning, you had Moore's law that got semiconductors efficient and powerful enough to actually be the cloud computing resources to train these models, which was not even feasible 10 years ago. And you've got the internet-scale quality and quantity of data."