ChatGPT was hailed as one 2022's most impressive technological innovations upon its release last November. The powerful artificial intelligence (AI) chatbot can generate text on almost any topic or theme, from a Shakespearean sonnet reimagined in the style of Megan Thee Stallion, to complex mathematical theorems described in language a 5 year old can understand. Within a week, it had more than a million users. ChatGPT's creator, OpenAI, is now reportedly in talks with investors to raise funds at a $29 billion valuation, including a potential $10 billion investment by Microsoft. That would make OpenAI, which was founded in San Francisco in 2015 with the aim of building superintelligent machines, one of the world's most valuable AI companies.

In my previous post, I discussed using ChatGPT, the large language model from OpenAI [1], as a writing partner for various types of prose. In this article, I will show how the system can be used to help compose music by generating chords from text prompts. After a brief overview of ChatGPT, I will show the results of my experiments in writing music with the new system in the following styles: jazz, country rock, and reggae. I'll finish by giving my general observations on using the model for composing music with some next steps for future exploration. Note that the third and final installment of this series will be about using the system to create picture books with help from Midjourney. ChatGPT is the latest language model from OpenAI that was designed and trained to interact with people via a chat user interface. GTP stands for Generative Pre-trained Transformer, where a transformer is a type of AI model. You can read a complete background on the system in this series' first article.

Metaverse seamlessly blends the physical world and virtual space via ubiquitous communication and computing infrastructure. In transportation systems, the vehicular Metaverse can provide a fully-immersive and hyperreal traveling experience (e.g., via augmented reality head-up displays, AR-HUDs) to drivers and users in autonomous vehicles (AVs) via roadside units (RSUs). However, provisioning real-time and immersive services necessitates effective physical-virtual synchronization between physical and virtual entities, i.e., AVs and Metaverse AR recommenders (MARs). In this paper, we propose a generative AI-empowered physical-virtual synchronization framework for the vehicular Metaverse. In physical-to-virtual synchronization, digital twin (DT) tasks generated by AVs are offloaded for execution in RSU with future route generation. In virtual-to-physical synchronization, MARs customize diverse and personal AR recommendations via generative AI models based on user preferences. Furthermore, we propose a multi-task enhanced auction-based mechanism to match and price AVs and MARs for RSUs to provision real-time and effective services. Finally, property analysis and experimental results demonstrate that the proposed mechanism is strategy-proof and adverse-selection free while increasing social surplus by 50%.

In essence, Getty is claiming that Stability AI is benefiting from training its model on images published by Getty to the internet, without compensation. Getty images are published to the internet with a visible watermark; licensed images have the watermark removed. Getty said that Stability AI did not seek a license to use Getty's images. "We think similarly these generative models need to address the intellectual property rights of others, that's the crux of it," Craig Peters, the chief executive of Getty Images, told The Verge. "And we're taking this action to get clarity."

"Getty Images believes artificial intelligence has the potential to stimulate creative endeavors." "Getty Images provided licenses to leading technology innovators for purposes related to training artificial intelligence systems in a manner that respects personal and intellectual property rights," the company continued. "Stability AI did not seek any such license from Getty Images and instead, we believe, chose to ignore viable licensing options and long‑standing legal protections in pursuit of their stand‑alone commercial interests." Furthermore, Peters explained that the company is not seeking monetary damages in this case so as much as it is hoping to establish a favorable precedent for future litigation. Text-to-image generation tools like Stable Diffusion, Dall-E and Midjourney don't create the artwork that they produce in the same way people do -- there is no imagination from which these ideas can spring forth.

As a rather commercially successful author once wrote, "the night is dark and full of terrors, the day bright and beautiful and full of hope." It's fitting imagery for AI, which like all tech has its upsides and downsides. Art-generating models like Stable Diffusion, for instance, have led to incredible outpourings of creativity, powering apps and even entirely new business models. On the other hand, its open source nature lets bad actors use it to create deepfakes at scale -- all while artists protest that it's profiting off of their work. Will regulation rein in the worst of what AI brings, or are the floodgates open?

This program uses the openai library, which allows you to interact with the OpenAI API. You will need to provide your own API key to use the service. The generate_response function takes a single argument, which is the prompt you want to send to the API. The prompt is passed to the openai.Completion.create() The response is returned as a string, which is then printed to the console.

Microsoft has announced the general availability of the Azure OpenAI Service and plans to add ChatGPT in the near future. Currently, Azure OpenAI Service provides access to some of the most powerful AI models in the world--including Codex and DALL-E 2. A "fine-tuned" version of GPT-3.5 will also be available through Azure OpenAI Service soon. We've learned a lot from the ChatGPT research preview and have been making important updates based on user feedback. ChatGPT will be coming to our API and Microsoft's Azure OpenAI Service soon. Azure OpenAI Service was unveiled in November 2021.

ChatGPT, the chatbot released on November 30 last year, has caught the imagination of engineers and non-engineers alike. The large language model used by the platform allows the AI to help answer user queries in a conversational style. In just a month, the chatbot was accessed by more than a million users, and the waitlist is getting longer with rising popularity. Microsoft teamed up with OpenAI in July 2019 to accelerate breakthroughs in the field of AI. On its part, Microsoft used its expertise in computing to build AI supercomputers exclusively for OpenAI and, since November 2021, has been offering the Azure OpenAI service for enterprise customers.

People can use OpenAI's ChatGPT to generate almost any text they want A web tool called GPTZero can identify whether an essay was generated by the artificial intelligence chatbot ChatGPT with high accuracy. This could help identify cheating in schools and misinformation, but only if OpenAI, the company behind the popular chatbot, continues to gives access to the underlying AI models. OpenAI is reportedly working on inserting a watermark to text that its models generate.