The rapid integration of generative artificial intelligence (AI) into postsecondary education and many other sectors resulted in a global reckoning with this new technology. This paper contributes to the study of the multifaceted influence of generative AI, with a particular focus on OpenAI's ChatGPT within academic settings during the first six months after the release in three specific ways . First, it scrutinize s the rise of ChatGPT as a transformative event construed through a study of mainstream discourses exhibiting AI hype. Second, i t discusses the perceived implications of generative AI for writing, teaching, and learning t hrough the lens of critical discourse analysis and critical AI studies . Third, i t encourages the necessity for best practices in the adoption of generative AI technologies in education.

An image generated by DALL-E 2 from information submitted by artist Rebecca Brewer.Rebecca Brewer/Handout The Vancouver artist Rebecca Brewer is a painter; they apply oils to wood panels to create dreamscapes that hover between the abstract and the representational, offering a low viewpoint or hallucinogenic take on tangled images that might evoke the forest floor or the ocean depths but can't be pinned down. Inspired by the 17th-century tradition of sottobosco, still life paintings of undergrowth, Brewer brings attention to the overlooked or hidden, and lets the viewer glimpse images in their figures the way one might see shapes in clouds. To make work for their recent show at the Catriona Jeffries Gallery in Vancouver, they wondered if some artificial intelligence might help conjure up these surreal images. "I started to fool around with the Open AI tool DALL-E, developing ideas for the show," they said in a recent interview, explaining how they fed descriptions of the effects they had wished to achieve in previous paintings into the program. I could get to something quite similar to what I had in mind." Brewer resubmitted versions of the best AI-generated images along with new prompts into the program and eventually incorporated a few examples into their new works, projecting the computer-generated imagery onto panels and then painting them. Sabrina Ratté's exploration of the blurred line between tech and humanity is making her an art world star "I felt I was very creatively involved.

I asked ChatGPT, the staggeringly fluent AI chatbot that has been wowing the internet since its November launch, to predict the biggest fitness trends of the coming year. Its answers were decent, if not particularly fresh: virtual fitness, wearable technology, high-intensity intervals, functional fitness, and mind-body approaches. But it missed a big one, perhaps out of modesty: itself. I don't mean that ChatGPT will emerge as the fitness guru of 2023, dispensing workout plans and diet advice. It's certainly willing to do that, but for now its training guidance is like its trend predictions: a warmed-over mishmash of previously digested ideas culled from the giant text databases it was trained on.

It also creates new safeguards around the development of artificial intelligence.

Poutanen, who once studied under deep learning pioneer and Signal 1 AI investor University Professor Emeritus Geoffrey Hinton, co-founded Signal 1 …

Cohere Inc., an AI startup founded by University of Toronto alumni that uses natural language processing to improve human-machine interactions, has raised US$125 million as it looks to open a new office in Silicon Valley, the Globe and Mail reports. The latest financing round, led by New York-based Tiger Global Management, comes only five months after Cohere secured $US40 million in venture capital financing, according to the Globe. Cohere's software platform helps companies infuse natural language processing capabilities into their business using tools like chatbots, without requiring AI expertise of their own. The company originated in a 2017 paper co-authored by CEO Aidan Gomez, who interned at the Google Brain lab of deep learning pioneer and University Professor Emeritus Geoffrey Hinton, a Cohere investor. Cohere's other co-founders are alumnus Nick Frosst, who also worked with Hinton at Google, and Ivan Zhang, a former U of T computer science student.

Deep Genomics, an artificial intelligence startup founded by the University of Toronto's Brendan Frey, has secured US$180 million from investors, including Japanese multinational Softbank and Canada Pension Plan Investments, the Globe and Mail reported. Launched in 2015, the startup uses machine learning to develop treatments for genetic diseases. According to the Globe and Mail, Deep Genomics currently has 10 drugs in pre-clinical development, four of which are set to enter human trials by mid-2023. It is also working with San Francisco Bay-area biopharmaceutical company BioMarin Pharmaceutical Inc. to identify drug candidates for rare diseases. "These are all new chemical entities that would not exist" without Deep Genomics' technology," Frey, who is CEO of Deep Genomics and a professor in U of T's Faculty of Applied Science & Engineering, told the Globe.

Dan Eisenhardt, founder and CEO of Form Athletica Inc., wears the company's swim goggles, which have a smart display inside them, in North Vancouver, on June 7, 2021. It was during an entrepreneurship class at the University of British Columbia 15 years ago that Dan Eisenhardt came up with the idea to make performance-tracking swim goggles similar to what runners and cyclists were starting to use on their wrists. It was a far-fetched idea back then, Mr. Eisenhardt recalls, a life-long and college-level competitive swimmer, but he put a team together to develop the concept. It turned out it wasn't possible – then. "Back in 2006, you didn't have the level of miniaturization in electronics that you have today, so we ended up pivoting for this school project into ski goggles instead," Mr. Eisenhardt says.

The word "chaos" comes up often in an interview with Solon Angel, founder and chief strategy officer of Mindbridge Analytics Inc. He grew up in the Caribbean and France, where he dealt with discrimination, family instability and violence. Today the Ottawa-based entrepreneur says he's "comfortable" with the other kind of chaos, that which comes naturally in a tech startup. After the 2008 global financial crisis, Mr. Angel aimed to come up with something that might keep it from happening again. In 2015, he launched Mindbridge with the goal of transforming the financial auditing business with machine learning, or artificial intelligence.

Brian O'Donnell is executive in residence at the Global Risk Institute in Financial Services. I believe when the robots rise up, ATMs will lead the charge." Bank customers can be forgiven for wondering how Facebook and Google can seamlessly anticipate and fulfill their requirements, while their bank of 30 years cannot do the same. After all, banks have far richer data about us than any social media site, yet they have not been able to use that information to efficiently predict our future financial needs. This shortcoming can be attributed to a number of factors including legacy systems, complex compliance requirements, old-school cultures and an understandably cautious approach to new technologies.