Check out all the on-demand sessions from the Intelligent Security Summit here. Nvidia has released a new update to its Omniverse simulation tools that will let developers tap generative AI and Unity's game engine. The latest release delivers enhanced performance and usability, new deployment options and new Omniverse connectors to expand the ecosystem. The company made the announcement at a virtual event ahead of the CES 2023 tech trade show in Las Vegas. Nvidia also said that new customers using Omniverse include include Dentsu, Mercedes Benz and Zaha Hadid Architects.

Welcome back to Insider Weekly, a roundup of some of our top stories. Sign up here to get this newsletter in your inbox each Sunday. But first: Diamond Naga Siu, the new voice behind our excellent 10 Things in Tech newsletter, is giving us a look at a phenomenon sweeping the internet: ChatGPT. ChatGPT brings all the techies to the yard, senior reporter Diamond Naga Siu writes. If you've somehow missed the ChatGPT buzz so far, it's a chatbot equipped with the most advanced example of generative artificial intelligence -- a powerful technology that can create original answers to questions and commands. It's eerily humanlike and is seen as posing a threat to Google.

Artificial intelligence (AI) has the potential to revolutionize many aspects of our lives, including how we approach cybersecurity. However, it also presents new risks and challenges that need to be carefully managed. One way that AI can be used in cybersecurity is through the development of intelligent systems that can detect and respond to cyber threats. This was the AI chatbot's reply when I asked it to write about AI and cyber threats. I am sure by now you know I am talking about the most popular lad in town, ChatGPT.

The creator of artificial intelligence (AI) image generator DALL-E says that he's "surprised" at the technology's huge impact. In an interview with Venture Beat, Aditya Ramesh expresses his astonishment at the pace of development in the generative AI space. "It doesn't feel like so long ago that we were first trying this research direction to see what could be done," Ramesh says. "I knew that the technology was going to get to a point where it would be impactful to consumers and useful for many different applications, but I was still surprised by how quickly." At the beginning of 2022, AI image generators barely existed.

Text-to-image generation models that generate images based on prompt descriptions have attracted an increasing amount of attention during the past few months. Despite their encouraging performance, these models raise concerns about the misuse of their generated fake images. To tackle this problem, we pioneer a systematic study on the detection and attribution of fake images generated by text-to-image generation models. Concretely, we first build a machine learning classifier to detect the fake images generated by various text-to-image generation models. We then attribute these fake images to their source models, such that model owners can be held responsible for their models' misuse. We further investigate how prompts that generate fake images affect detection and attribution. We conduct extensive experiments on four popular text-to-image generation models, including DALL$\cdot$E 2, Stable Diffusion, GLIDE, and Latent Diffusion, and two benchmark prompt-image datasets. Empirical results show that (1) fake images generated by various models can be distinguished from real ones, as there exists a common artifact shared by fake images from different models; (2) fake images can be effectively attributed to their source models, as different models leave unique fingerprints in their generated images; (3) prompts with the ``person'' topic or a length between 25 and 75 enable models to generate fake images with higher authenticity. All findings contribute to the community's insight into the threats caused by text-to-image generation models. We appeal to the community's consideration of the counterpart solutions, like ours, against the rapidly-evolving fake image generation.

Over the last week, millions of people around the world have interacted with OpenAI's ChatGPT, which represents a significant advance for generative artificial intelligence (AI) and the foundation models that underpin many of these use cases. It's a fitting way to end what has been another big year for the industry. Adoption of AI among businesses is increasing, and research and AI development on foundation models is enabling use cases like generative AI to become even more sophisticated and powerful. It can help us leverage significant amounts of data to start designing and discovering new solutions to business and societal problems such as those related to sustainability, life sciences, customer care, employee experience and many more. These advances are simultaneously raising separate, but important discussions and questions within the industry: how can you trust the algorithms and outputs of these models?

How did we get to where we are today in the field of generative AI? Generative AI will be the most disruptive technological innovation since the advent of the personal computer and the inception of the Internet with the potential to create 10s of millions of new jobs, permanently alter the way we work, fuel the creator economy, and displace or augment 100s of millions of workers in roles from computer programmers to computer graphics artists, photographers, video editors, digital marketers and yes, even journalists. Even with all the hype around generative AI this year, it's true power has not yet been seen or felt, in 2023 there will be significant innovations that will begin a revolution that will leave no industry or job function un-impacted in one way or another. Although Generative AI has been a focused area of AI research since 2014, it really took off in the latter half of 2022 when the technology was put into the hands of consumers with the release of several text-to-image model services like MidJourney, Dall-E 2, Imagen, and the open-source release of Stability AI's Stable Diffusion. This was quickly followed up by OpenAI's ChatGPT which mesmerized consumers with a version of GPT-3 re-trained on conversational dialog that seemingly had an answer for everything and delivered responses in a very human-like manner. At the same time VCs looking for the hot new technology to invest in caught the generative AI bug and both Stability AI and Jasper both became instant unicorns with Series A funding exceeding $100 million.

OpenAI Inc., the startup behind the Artificial Intelligence-powered chatbot tool ChatGPT, is the subject of a tender offer from investors that could see its valuation soar to as much as USD 29 billion. In a deal that would see them buy shares from current OpenAI shareholders like its employees, the venture capitalist firms Founders Fund and Thrive Capital are reportedly in talks to invest in the hot startup. This is according to a report from the Wall Street Journal. If the deal goes through, OpenAI's previous valuation of USD 14 billion, established following its most recent tender offer in 2021, would more than double. With the release of its popular chatbot tool ChatGPT in the latter part of last year, OpenAI recently captured the public's attention.

We believe the development of general-purpose artificial intelligence that benefits all of humanity must be carried out with a knowledge of and respect for the different perspectives and experiences that represent the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, owned by everyone across the company, and championed and supported by leadership. We take this work seriously and are committed to continuously improving our work in creating a diverse, equitable, and inclusive organization. In addition to our dedication to creating an inclusive organization on the human level, OpenAI actively pursues technical work that is aimed at improving our understanding of, and ability to mitigate, harmful biases learned by AI systems, and supports conferences and groups involved in such work in the larger AI community.

Since its public launch in November 2022, ChatGPT, the mesmerizing AI chatbot by OpenAI, has grown in popularity like wildfire. Social media feeds are filled with incredible things people are doing with the chatbot. Jobseekers, programmers, high school teachers, content creators--professionals in almost every field are finding good uses for the tool. However, when one tool takes center stage, it's easy to lose track of the alternatives that could offer equal or even better value. We've put together three of the best ChatGPT alternatives you can use right now.