After all, they were among the first to back innovative blockchain technologies and even embrace Web3 and NFTs. Late last year, OpenAI's new chatbot sparked a conversation about the future of artificial intelligence. And lately, it's been grabbing attention with its ability to craft human-like responses and even ace an exam from Wharton.

ChatGPT, the artificial intelligence chatbot, continues to have internet users abuzz, given its ability to answer prompts on a stunning variety of subjects, to create songs, recipes, and jokes, to draft emails, and more. "It's amazing to have this technology do in seconds what it takes many of us hours to do," says Deborah Rossen-Knill, executive director of the University of Rochester's Writing, Speaking, and Argument Program and a professor of writing studies. Those endless possibilities, however, have faculty and administrators in higher education expressing anxiety as well as awe, because ChatGPT also can write essays and code, answer homework questions, and solve math problems. "We're all trying to figure out how it fits into the existing landscape of higher education," says Rachel Remmel, assistant dean and director of the University's Teaching Center. "Everyone is talking about it."

Like pretty much everyone else in the past few months, journalists have been trying out generative AI tools like ChatGPT to see whether they can help us do our jobs better. AI software can't call sources and wheedle information out of them, but it can produce half-decent transcripts of those calls, and new generative AI tools can condense hundreds of pages of those transcripts into a summary. Writing stories is another matter, though. A few publications have tried--sometimes with disastrous results. It turns out current AI tools are very good at churning out convincing (if formulaic) copy riddled with falsehoods.

Bank of America strategists identified 20 stocks poised to benefit from the intense enthusiasm surrounding artificial technology, as a host of companies scramble to capitalize on ChatGPT's viral moment. Bank of America identified 20 stocks poised to cash in on the AI craze. Microsoft, partial owner of ChatGPT parent OpenAI, unsurprisingly headlined the picks outlined in the Tuesday note to clients, as the bank lauded the tech giant's "recent success with AI-driven offerings" and the upside the technology brings for its Bing search engine; the analysts set a $300 price target for the company's stock, indicating 20% upside. The strategists, led by Eric Lopez, also recommend buying Google-parent Alphabet, Facebook-parent Meta and Chinese Baidu, Microsoft and OpenAI's most direct competitors in the generative technology space, after each announced expansions to their respective units in recent weeks. Analysts identified American technology giants Adobe, Arista Networks, Nvidia, Palantir, and Shutterstock as firms who provide essential technology for artificial intelligence or who already use the technology in different end cases.

AI images have shocked the photography world with their hyper-realistic output. But there is seemingly one thing they keep stumbling over -- hands. AI image generators such as DALL-E, Midjourney, and Stable Diffusion are notorious for adding one too many fingers or morphing digits together, making them look nightmarish. Midjourney is getting crazy powerful--none of these are real photos, and none of the people in them exist. Earlier this year, PetaPixel reported on realistic party pictures generated by AI.

ModuleQ, the People-Facing AI company, announced the first GPT-enabled insights solution for client-facing professionals. ModuleQ People-Facing AI enables businesses to deliver timely, hyper-personalized insights directly to their client-facing professionals in Microsoft Teams. ModuleQ's initial GPT integration helps professionals work more efficiently by summarizing key themes in news articles and research reports, and the company will launch additional use cases in the near future. ModuleQ selected the GPT models and Microsoft Azure OpenAI Service to help customers unlock the value of their information assets, both proprietary and externally sourced. ModuleQ People-Facing AI improves employee experience and drives revenue growth by proactively surfacing real-time, client-centered insights, automatically tuned to the current context and preferences of each professional.

Elon Musk has indicated that he's interested in creating his own version of OpenAI's ChatGPT in order to rival the popular AI chatbot. A new report from The Information goes into detail about AI researchers being contacted by Musk's team to develop a new version of OpenAI's ChatGPT. According to the report, Musk's team has already reached out to several developers regarding the purported project, and one of those researchers was Igor Babuschkin, a former senior AI researcher at Google's Deepmind, who was contacted for the position of lead developer on Musk's vision for the AI. Details of Musk's new AI chatbot are scarce and hardly set in stone, but we can expect that it will be different from OpenAI's ChatGPT in certain aspects. Notably, Musk co-founded OpenAI back in 2015 but left the company in 2018.

Attempting to make precise compositions with latent diffusion generative image models such as Stable Diffusion can be like herding cats; the very same imaginative and interpretive powers that enable the system to create extraordinary detail and to summon up extraordinary images from relatively simple text-prompts is also difficult to turn off when you're looking for Photoshop-level control over an image generation. Now, a new approach from NVIDIA research, titled ensemble diffusion for images (eDiffi), uses a mixture of multiple embedding and interpretive methods (rather than the same method all the way through the pipeline) to allow for a far greater level of control over the generated content. 'Painting with words' is one of the two novel capabilities in NVIDIA's eDiffi diffusion model. Each daubed color represents a word from the prompt (see them appear on the left during generation), and the area color applied will consist only of that element. See source (official) video for more examples and better resolution at https://www.youtube.com/watch?v k6cOx9YjHJc Effectively this is'painting with masks', and reverses the inpainting paradigm in Stable Diffusion, which is based on fixing broken or unsatisfactory images, or extending images that could as well have been the desired size in the first place.

Although large conversational AI models such as OpenAI's ChatGPT have demonstrated great potential, we question whether such models can guarantee factual accuracy. Recently, technology companies such as Microsoft and Google have announced new services which aim to combine search engines with conversational AI. However, we have found numerous mistakes in the public demonstrations that suggest we should not easily trust the factual claims of the AI models. Rather than criticizing specific models or companies, we hope to call on researchers and developers to improve AI models' transparency and factual correctness.

Sign up to receive our weekly newsletter of the best New Yorker podcasts. In November, OpenAI introduced ChatGPT, a large language model that can generate text that gives the impression of human intelligence, spontaneity, and surprise. Users of ChatGPT have described it as a revolutionary technology that will change every aspect of how we interact with text and with one another. American political life has already been profoundly altered by the Internet, and the effects of ChatGPT, Rothman says, could be even more profound.