AI has already demonstrated its power to revolutionize industries and accelerate scientific investigation. One field of AI research that has made stunning advancements is in the area of foundation models and generative AI, which enables computers to generate original content based on input data. This technology has been used to create everything from music and art to fake news reports. The move generated widespread media attention and excitement among users, highlighting the massive potential of AI. This demonstration came just three months after the release of ChatGPT to the public. Faced with the disruptive impact of OpenAI's GPT-3 model, Google and Microsoft were compelled to reveal AI integration plans for their respective search engines.

Lemoine, who Google has fired for claiming the unreleased AI system had become sentient, said he considers LaMDA to be his "colleague" and a "person," even if not a human. He urged for the technology to be recognized but many technical experts in the AI field have criticized his statements and questioned the scientific correctness of the matter. The hype around Google's "sentient AI" may have subsided, but Lemoine's claims till now leaves question in the mind of many.

The scrappy underdog AI firm OpenAI has stirred the sleeping tech giants with its generative AI products, most recently and most prominently the conversational chatbot ChatGPT. Microsoft spent $10 billion on a partnership with OpenAI in an attempt to leap-frog its younger big tech competitors by weaving AI into many products; Google internally declared a "code red" and is cutting red tape to put out AI products more quickly, including a direct competitor to ChatGPT that was just announced; meanwhile Mark Zuckerberg has declared his intent to make Meta a "leader in generative AI," clearly a reaction to the attention OpenAI is garnering. The products these companies are suddenly striving for sound similar, but who will be the winner? Although much discussion has centered around the size of the AI models and how much data they are trained on, there's another factor that may matter a lot, too: the degree to which the contenders build trustworthy systems that don't unduly harm society and further destabilize democracy. OpenAI's earlier text generation product GPT-3 grabbed a lot of attention but never saw the widespread consumer adoption that ChatGPT has attained.

For decades, Microsoft was unable to "reinvent" the browser, sticking to its obsolete Internet Explorer until it got replaced by Edge, based on Google's Chromium. But now, according to the tech dinosaur, it is nothing less than "reinventing" both Bing, its search engine, and Edge, by making them "AI-powered." It is an undertaking Microsoft is carrying out together with OpenAI. Microsoft is a major investor (the figure reportedly runs into billions) in OpenAI, an artificial intelligence lab, so it's no surprise they would be partnering to "innovate." And they are doing it "responsibly," meaning that, "safeguards to defend against harmful content" and "address issues such as misinformation and disinformation (…) and preventing the promotion of harmful or discriminatory content" will be implemented.

Benchmark, the venture capital firm known for its investments in Uber and Snapchat, is expected to join the rush of investors into generative AI with a deal for startup Langchain. The company has developed an AI-powered platform that can generate natural language from data sets. The investment comes at a time when many companies are looking to capitalize on the potential of generative AI technology. Generative AI is an artificial intelligence system that uses machine learning algorithms to create new content from existing data sources. This type of technology could be used to create text or images based on inputted information, allowing businesses to quickly produce large amounts of content without having to manually write it themselves.

The Arena Group, which licenses the rights to publish Sports Illustrated, says it plans to use AI tools across its brands. Sports Illustrated publisher Arena Group is investing in artificial intelligence (AI) to help produce articles and suggest story ideas through partnerships with AI startups Jasper and Nota, as well as ChatGPT creator OpenAI. The company said AI had already been used to compose articles in Men's Journal; a disclosure at the top of the articles describes them as "a curation of expert advice from Men's Fitness, using deep-learning tools for retrieval combined with OpenAI's large language model for various stages of the workflow." Arena Group's Ross Levinsohn said AI will not replace content creation but will give authors "real efficiency and real access to the archives we have." He also said AI might help suggest emerging topics on social media for journalists to investigate.

The graph represents a network of 17,999 Twitter users whose recent tweets contained "generative AI", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 2/11/2023 8:47:19 AM. The network was obtained from Twitter on Saturday, 11 February 2023 at 17:02 UTC. The tweets in the network were tweeted over the 3270-day, 20-hour, 55-minute period from Thursday, 27 February 2014 at 19:51 UTC to Saturday, 11 February 2023 at 16:47 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

No matter where you sit on the enormous and complex debate regarding AI models and their use of datasets to generate new images, artworks, writing and even movies, there's one thing everyone can agree on: they're damned creepy at drawing human hands. But why? Especially when AIs are so capable of recreating the seemingly far greater complexity of human faces. To find the answers, we decided to speak to a leading authority on this subject: an AI. ChatGPT is by far the most well-known AI language model just now, causing huge ways across the world with its ability to hold natural conversations, answer complex questions, and generate extraordinary poetry, writing, and even the most complicated of human discourse: games journalism. I began by asking ChatGPT, "Why is AI so bad at rendering human fingers?" "Rendering realistic human fingers is challenging for AI because they are highly articulated and have complex shapes and textures," the AI explained, adding, "capturing the subtleties of how light interacts with skin, nails, and wrinkles requires advanced modeling and rendering techniques."

Former English teacher, Peter Laffin, predicts OpenAI's new artificial intelligence chatbot will lead to a learning crisis and force teachers to rethink education. Artificial intelligence is sparking concerns about plagiarism in schools worldwide. Still, the evolving technology poses tremendous benefits for creators and could soon be accepted in the classroom alongside tools like the calculator, according to professors and AI experts. Harvard Business School Assistant Professor Edward McFowland III compared generative AI, like ChatGPT, to other educational tools, such as the calculator and Wikipedia, with the former's benefits and the latter's disadvantages. ChatGPT has already been found to produce questionable results, with papers and responses sometimes including significant statistical or historical errors.

OpenAI CEO Sam Altman (left) and Meta AI chief Yann LeCun (right) have differing views on the future ... [ ] of large language models. In case you haven't heard, artificial intelligence is the hot new thing. Generative AI seems to be on the lips of every venture capitalist, entrepreneur, Fortune 500 CEO and journalist these days, from Silicon Valley to Davos. To those who started paying real attention to AI in 2022, it may seem that technologies like ChatGPT and Stable Diffusion came out of nowhere to take the world by storm. Back in 2020, we wrote an article in this column predicting that generative AI would be one of the pillars of the next generation of artificial intelligence. Since at least the release of GPT-2 in 2019, it has been clear to those working in the field that generative language models were poised to unleash vast economic and societal transformation.