An actual, if elderly and ailing, Havanese is looking up at me as I work, and an Avedon portrait book is open on my desk. What could be more beguiling than combining the two? Then my laptop stutters and pauses, and there it is, eerily similar to what Richard Avedon would have done if confronted with a Havanese. The stark expression, the white background, the implicit anxiety, the intellectual air, the implacable confrontational exchange with the viewer--one could quibble over details, but it is close enough to count. My Havedon is, of course, an image produced by an artificial-intelligence image generator--DALL-E 2, in this case--and the capacity of such systems to make astonishing images in short order is, by now, part of the fabric of our time, or at least our pastimes.

When ChatGPT was released late last year, people around the world suddenly awoke to the major advancements going on in the world of artificial intelligence (AI). For many, what once seemed like a science fiction fantasy was now reality. In truth, the technology behind the groundbreaking chatbot had been brewing behind the scenes in research labs and major tech companies for years. But refined and released in its most accessible form yet, ChatGPT stands to herald in a transformational age of AI adoption. ChatGPT, and other generative AIs like DALL-E, which can create original text and images from a simple prompt, won't just transform education. It will reshape the way people conduct business, create art and do research. Commentators have likened what's coming to the next Industrial Revolution: one in which the role of humans may radically change. While ChatGPT and DALL-E are both products of OpenAI, an American research company, other Silicon Valley giants have been moving quickly to show they're capable of similar technology. With names like OpenAI, Microsoft, Google, Meta and even Baidu capturing international headlines for their generative AI offerings, it's easy to forget that the foundational principles upon which these technologies rest were developed in large part by Canadian scientists.

Perhaps without realising it, recruiters are already using AI and enjoying the benefits of it. Take LinkedIn for example, where its recruiter-facing product will automatically suggest top candidates based on keywords or other parameters we feed it. There are countless examples of AI doing background work for busy talent acquisition professionals, letting them focus on what is important. The reason that we are seeing more conversations around ChatGPT and generative AI specifically is because of how in-your-face it is. Perhaps ignorance has been bliss in the past?

Bank of America Corp., Citigroup Inc., Deutsche Bank AG, Goldman Sachs Group Inc. and Wells Fargo & Co. are among lenders that have recently banned usage of the new tool, with Bank of America telling employees that ChatGPT and openAI are prohibited from business use, according to people with knowledge

Whether these new AI technologies are ready for prime time remains a wide-open question. Even assuming these early bugs are worked out, a host of thorny business and legal challenges remain, as we've been writing about. Whether these new AI technologies are ready for prime time remains a wide-open question. Even assuming these early bugs are worked out, a host of thorny business and legal challenges remain, as we've been writing about.

Notes for ChatGPT by Zoho: Say hello to Zoho Notebook extension for ChatGPT! Without switching tabs, you can use this amazing tool to save all of your ChatGPT conversations as notes in the Notebook app. To use it, all you need to do is just ask all of your questions in ChatGPT and save the entire conversation or each individual chat as a note in Notebook. YouTube Summarizer with ChatGPT: This free Chrome extension lets you quickly access the summary of the YouTube videos you are currently watching with OpenAI's ChatGPT AI technology. All you can do with this tool is get transcripts in many languages, summarize the video with ChatGPT, scroll into the currently playing timestamp, and copy-n-paste all the transcripts.

Amid concerns about the neutrality of OpenAI's text-based artificial intelligence (AI) platform ChatGPT, Tesla (NASDAQ: TSLA) CEO Elon Musk seems to be busy working on creating an alternative to the high-profile chatbot as he has reportedly approached AI researchers in recent weeks. Indeed, Musk has allegedly been recruiting Igor Babuschkin, a researcher who has recently left Alphabet's (NASDAQ: GOOGL) DeepMind AI unit and specialized in the machine-learning models used by the likes of ChatGPT, according to a report by The Information published on February 27. Specifically, the report referred to the media outlet's communication with two unnamed people that are said to have direct knowledge of the team-assembling efforts, as well as a third person who was briefed on the conversations between Elon and Babuschkin. As the report recalls, Musk has been critical of OpenAI, which he co-founded in 2015 but has since cut ties with, for installing safeguards that prevent ChatGPT from producing text that might offend specific groups of users, suggesting in 2022 that the technology was an example of "training AI to be woke." More recently, he joked that "what we need is TruthGPT," which led to the appearance of an eponymous project that stated it was already developing such a bot using the technology underlying the cryptocurrency industry and asking for Musk's assistance. Despite criticism, crypto trading platform Binance has praised ChatGPT over its potential to be used in crypto adoption, expansion, and education as it is able to explain complicated concepts, such as proof-of-work (PoW), Bitcoin mining, and others, in a conversational and often fun way, like through a rap song or imitating a 1920s mobster.

What if your inbox were jam-packed with AI-generated emails? You may already be on the receiving end of emails written by artificial intelligence, with the help of a human prompter. Austin Distel, a senior director of marketing at Jasper, is one of those humans. Austin smiles as he demonstrates Japer's knack for email composition. "These are tools in my tool belt that helped me perform faster, but also better," he says before sharing that he often uses generative AI to rewrite work emails so they sound like Jerry Seinfeld.

When it comes to artificial intelligence (AI), the advances we saw in 2021 pale in comparison to those that occurred last year, and AI shows no signs of slowing down. Industries from financial services to healthcare to manufacturing are adopting AI-enabled solutions to restructure how they operate as well as to solve previously intractable problems. Building on my AI predictions from last year, in this article I will explore five ways in which AI is poised to transform our society in the near future. Generative AI had an explosive year in 2022. Popular systems like DALL-E 2, Stable Diffusion and Midjourney can produce incredibly detailed images from a text prompt in a matter of seconds, irrevocably altering the landscape of graphic design.

Knowing how to talk to chatbots may get you hired as a prompt engineer for generative AI. Prompt engineers are experts in asking AI chatbots -- which run on large language models -- questions that can produce desired responses. Unlike traditional computer engineers who code, prompt engineers write prose to test AI systems for quirks; experts in generative AI told The Washington Post that this is required to develop and improve human-machine interaction models. Alex Shoop, an expert in AI systems design, told Venture Beat that as AI tools evolve, prompt engineers help ensure that chatbots are rigorously tested, that their responses are reproducible, and that safety protocols are followed. The rise of the prompt engineer comes as chatbots like OpenAI's ChatGPT have taken the world by storm.