OpenAI has just announced GPT-4, its next-generation large multimodal AI model based on natural-language processing. The previous GPT-3 forms the basis of the famous ChatGPT artificial intelligence chatbot, capable of generating human-like responses to queries provided by its users. GPT-4 is said to be capable of accepting text and image inputs. This allows users to specify both vision and language tasks. For example, you can now use documents with text plus photographs, diagrams, or even screenshots – the generated output uses all initial data to generate answers based on all available data (try submitting a funny image and asking AI to tell what makes this image amusing).

Generative AI, i.e., the group of technologies that automatically generate visual or written content based on text prompts, has undergone a leap in complexity and become widely available within just a few years. Such technologies potentially introduce a massive disruption to creative fields. This paper presents the results of a qualitative survey ($N$ = 23) investigating how creative professionals think about generative AI. The results show that the advancement of these AI models prompts important reflections on what defines creativity and how creatives imagine using AI to support their workflows. Based on these reflections, we discuss how we might design \textit{participatory AI} in the domain of creative expertise with the goal of empowering creative professionals in their present and future coexistence with AI.

Generative AI (e.g., Generative Adversarial Networks - GANs) has become increasingly popular in recent years. However, Generative AI introduces significant concerns regarding the protection of Intellectual Property Rights (IPR) (resp. model accountability) pertaining to images (resp. toxic images) and models (resp. poisoned models) generated. In this paper, we propose an evaluation framework to provide a comprehensive overview of the current state of the copyright protection measures for GANs, evaluate their performance across a diverse range of GAN architectures, and identify the factors that affect their performance and future research directions. Our findings indicate that the current IPR protection methods for input images, model watermarking, and attribution networks are largely satisfactory for a wide range of GANs. We highlight that further attention must be directed towards protecting training sets, as the current approaches fail to provide robust IPR protection and provenance tracing on training sets.

With its uncanny ability to hold a conversation, answer questions, and write coherent prose, poetry, and code, the chatbot ChatGPT has forced many people to rethink the potential of artificial intelligence. The startup that made ChatGPT, OpenAI, today announced a much-anticipated new version of the AI model at its core. The new algorithm, called GPT-4, follows GPT-3, a groundbreaking text-generation model that OpenAI announced in 2020, which was later adapted to create ChatGPT last year. The new model scores more highly on a range of tests designed to measure intelligence and knowledge in humans and machines, OpenAI says. It also makes fewer blunders and can respond to images as well as text.

With the GPT4 model, there will be new ways to create art, below I present a ready-to-use research generator with which you can already see what the future will look like. Are you ready to take your art generation to the next level? Introducing the revolutionary new tool that combines the power of state-of-the-art methods. Developed by a team of experts, the ai tool is designed to handle even the most complex visual tasks, all while maintaining a conversational tone that feels natural and engaging. Don't miss out on this incredible opportunity - try it today and see the results for yourself!

Microsoft has laid off a team dedicated to ensuring the responsible development and deployment of AI. Platformer reports the ethics and society team were laid off as part of wider cuts to Microsoft's workforce. However, the decision leaves Microsoft with fewer experts working to ensure solutions are safe and have a net positive impact. The perception of Microsoft as an AI leader has deepened following its exclusive partnership with OpenAI. The duo continue to deliver powerful new AI capabilities across Microsoft's products.

We've created GPT-4, the latest milestone in OpenAI's effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5's We've spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails. Over the past two years, we rebuilt our entire deep learning stack and, together with Azure, co-designed a supercomputer from the ground up for our workload.

That's something that, you know, we can't really comment on at this time,

Automation relies on human dependence on machine intelligence, which is deeply affected by the universal values of accuracy and trust. Automation and efficiency initiatives will be hampered by a lack of adherence to these principles. An entirely novel wave of automation entered the world in November 2022 with the launch of ChatGPT and its potent computational capacity and ability to generate content on its own. Some incorrect content produced by ChatGPT and its rival Bard, however, has damaged public belief in these artificially intelligent machines. While many were enthralled by how quickly these tools could produce content, many were worried about the accuracy and trustworthiness of this machine-generated material.

The AI behind popular chatbot ChatGPT has been updated to a new version known as GPT-4 – and many people have already been unknowingly exposed to the newest AI's supposedly improved capabilities for weeks prior to the announcement. OpenAI, the company that developed GPT-4, says it "spent 6 months making GPT-4 safer and more aligned" so that the AI is less likely to produce "disallowed content" in response to human users' queries. GPT-4 delivers "human-level performance" and outperforms its predecessor GPT-3.5 on many simulated exams …