China's Cyberspace Administration recently issued regulations prohibiting the creation of AI-generated media without clear labels, such as watermarks--among other policies--reports The Register. The new rules come as part of China's evolving response to the generative AI trend that has swept the tech world in 2022, and they will take effect on January 10, 2023. In China, the Cyberspace Administration oversees the regulation, oversight, and censorship of the Internet. Under the new regulations, the administration will keep a closer eye on what it calls "deep synthesis" technology. In a news post on the website of China's Office of the Central Cyberspace Affairs Commission, the government outlined its reasons for issuing the regulation.

The next step of artificial intelligence (AI) development is machine and human interaction. The recent launch of OpenAI's ChatGPT, a large language model capable of dialogue of unprecedented accuracy, shows how fast AI is moving forward. The ability to take human input and permissions and adjust its actions based on them is becoming an integral part of AI technology. This is where the concept of ethics in artificial intelligence research begins, and this is the area I am focusing on for the rest of this article. Previously, humans were solely responsible for educating computer algorithms. Instead of this process, we may soon see AI systems making these judgments instead of human beings. In the future, machines might be fully equipped with their own judgement system. At this point, things could turn for the worse if the system miscalculates or is flawed with any bias. The world is currently experiencing a revolution in the field of artificial intelligence (AI). In fact, all Big Tech companies are working hard on launching the next step in AI. Companies such as Google, Open AI (Microsoft), Meta and Amazon have already started using AI for their own products. Quite often, these tools cause problems, damaging company reputations or worse.

Many ad agencies are using AI to generate images, either to create interesting content, to brainstorm ideas or streamline costs and make the workload easier. Canadian shop Rethink, for example, tapped AI text-to-image tool DALL-E 2 to create images of ketchup as the next iteration of Heinz's "Draw Ketchup" campaign earlier this year. Shops are also using other AI tools Midjourney and Stable Diffusion. Marketers are also using AI to write creative copy. Earlier this fall, Mastercard Chief Marketing and Communications Officer Raja Rajamannar spoke at the Association of National Advertisers' annual Masters of Marketing conference about the payment company's use of its digital marketing engine. This program, which Mastercard developed, uses AI to run a data-driven deep dive on current trends in the cultural zeitgeist.

Artificial intelligence firm OpenAI is developing a way to prevent people taking text that AI models produce and passing it off as their own work. The watermark-like security feature could help teachers and academics spot students who are using text generators such as OpenAI's GPT to write essays for them, but cryptography experts say workarounds will inevitably be found.

Articles, resources and examples about and relating to artificial intelligence (AI) powered writing / text generation, image generation, and more.

ChatGPT is a large language model. That means it's very good at stringing together words in ways that humans tend to use them. It's able to construct sentences that are grammatically correct and sound natural, for the most part, because it's been trained on language. Because it's good at stringing together words, it's able to take your prompt and generate words in a grammatically correct way that's similar to what it's seen before. But that's all that it's doing: generating words and making sure it sounds natural. It doesn't have any built-in fact checking capabilities, and the manual limitations that OpenAI placed can be fairly easily worked around.

He is a serial entrepreneur and former management consultant. He holds an MBA and PhD in business. You may not know it yet, but you don't need to look too far to realize that generative AI is already a big part of our lives. Whether you've opted for a cartoon version of yourself as a profile picture, peeked at what you might look like at 90 (gulp), or your personal identity has been transformed into a synthetic version of you somewhere out there in the ether--using a synthetic data generator--that's generative AI doing its thing. And if the last example sounded like something out of a sci-fi movie, know that this is indeed already happening--and you'll be happy to learn why this is a good thing for you.

This is an edition of The Atlantic Daily, a newsletter that guides you through the biggest stories of the day, helps you discover new ideas, and recommends the best in culture. OpenAI's impressive new artificial-intelligence chatbot, ChatGPT, has intensified the debate over what the rise of AI-generated writing and art means for work, culture, education, and more. "You don't need a wild imagination to see that the future cracked open by these technologies is full of awful and awesome possibilities," our staff writer Derek Thompson recently wrote. I called Derek to explore some of those possibilities. But first, here are three new stories from The Atlantic.

Metaverse over wireless networks is an emerging use case of the sixth generation (6G) wireless systems, posing unprecedented challenges in terms of its multi-modal data transmissions with stringent latency and reliability requirements. Towards enabling this wireless metaverse, in this article we propose a novel semantic communication (SC) framework by decomposing the metaverse into human/machine agent-specific semantic multiverses (SMs). An SM stored at each agent comprises a semantic encoder and a generator, leveraging recent advances in generative artificial intelligence (AI). To improve communication efficiency, the encoder learns the semantic representations (SRs) of multi-modal data, while the generator learns how to manipulate them for locally rendering scenes and interactions in the metaverse. Since these learned SMs are biased towards local environments, their success hinges on synchronizing heterogeneous SMs in the background while communicating SRs in the foreground, turning the wireless metaverse problem into the problem of semantic multiverse communication (SMC). Based on this SMC architecture, we propose several promising algorithmic and analytic tools for modeling and designing SMC, ranging from distributed learning and multi-agent reinforcement learning (MARL) to signaling games and symbolic AI.

Amazon Alexa's Create With Alexa feature uses conversational and generative AI to create unique stories after users select a theme, character, a descriptive word and a color. Generative AI, which is known for churning out fantastical art based on text prompts, is now sneaking into one of the most sacred bonding experiences for parents and children: bedtime storytelling. Amazon is hopping into the generative AI craze with a new Alexa feature that creates short, five-scene stories for kids based on a few prompts. Called'Create With Alexa,' the feature lets children and parents select from given themes like underwater, enchanted forest and space exploration and pick a character, a descriptive word and a color. Then, they sit back and wait as the AI comes up with different stories, visuals, audio dialogues and background music.