The Writers Guild of America (WGA) is striking against studios in pursuit of a new contract that lets writers participate more fully in the industry. The central disagreements are about economics, but the issue that has captured the most public attention is the threat posed by so-called artificial intelligence--products like ChatGPT--to the livelihood of creative professionals, including writers. ChatGPT is a generative AI program that has been trained on a massive corpus of text to predict the word or words that should follow a text prompt or word string. It is not intelligent, though its user interface has been designed to create that illusion. Studios perceive that generative AI is a tool they can use against writers.

Nick Clegg has defended the release of an open-source artificial intelligence model by Mark Zuckerberg's Meta, as he claimed that "hype" about AI's dangers was running ahead of the technology's development. The president of global affairs at Meta and former UK deputy prime minister spoke on Wednesday after the company said it was opening access to its new large language model (LLM), Llama 2, which will be free for research and commercial use. LLMs are trained on vast amounts of data and underpin generative AI products such as the ChatGPT chatbot. Some experts have warned that making AI models open source – or freely available to use and adapt for unique purposes – could lead to the technology being used for malicious purposes. Speaking on BBC Radio 4's Today programme, Clegg said: "My view is that the hype has somewhat run ahead of the technology. I think a lot of the existential warnings relate to models that don't currently exist, so-called super-intelligent, super-powerful AI models – the vision where AI develops an autonomy and agency on its own, where it can think for itself and reproduce itself. "The models that we're open-sourcing are far, far, far short of that.

Margaret Atwood, Jonathan Franzen, James Patterson, Suzanne Collins and Viet Thanh Nguyen are among the prominent authors endorsing the letter addressed to the CEOs of OpenAI, Meta, Microsoft, Alphabet, IBM and Stability AI. In the letter organised by the Authors Guild, the largest professional writers' organisation in the United States, the signatories call attention to the "inherent injustice in exploiting our works as part of your AI systems without our consent, credit, or compensation". "These technologies mimic and regurgitate our language, stories, style, and ideas. "You're spending billions of dollars to develop AI technology. It is only fair that you compensate us for using our writings, without which AI would be banal and extremely limited."

This paper presents a performance comparison of three large language models (LLMs), namely OpenAI ChatGPT, Microsoft Bing Chat (BingChat), and Google Bard, on the VNHSGE English dataset. The performance of BingChat, Bard, and ChatGPT (GPT-3.5) is 92.4\%, 86\%, and 79.2\%, respectively. The results show that BingChat is better than ChatGPT and Bard. Therefore, BingChat and Bard can replace ChatGPT while ChatGPT is not yet officially available in Vietnam. The results also indicate that BingChat, Bard and ChatGPT outperform Vietnamese students in English language proficiency. The findings of this study contribute to the understanding of the potential of LLMs in English language education. The remarkable performance of ChatGPT, BingChat, and Bard demonstrates their potential as effective tools for teaching and learning English at the high school level.

Anthropic, an AI company, released its latest large language model-powered chatbot, Claude 2, last week, the latest development in a race to build bigger and better artificial intelligence models. Claude 2 is an improvement on Anthropic's previous AI model, Claude 1.3, particularly in terms of its ability to write code based on written instructions and the size of its "context window," which means users can now input entire books and ask Claude 2 questions based on their content. These improvements suggest Claude 2 is now in the same league as GPT-3.5 and GPT-4, the models which power OpenAI's ChatGPT. However, like OpenAI's models, Claude 2 still exhibits stereotype bias and'hallucinates' -- in other words, it makes things up. And there remain larger questions about the race between AI companies to bring out more powerful AI models without addressing the risks they pose.

Mark Zuckerberg's Meta is making a commercial version of its artificial intelligence model freely available, in a move that gives startups and other businesses a low-cost opportunity compete with OpenAI's ChatGPT and Google's Bard. A new version of a Meta large language model (LLM), called Llama 2, will be distributed by Microsoft through its Azure cloud service and will run on the Windows operating system, Meta said in a blogpost, referring to Microsoft as "our preferred partner" for the release. LLMs underpin generative AI products like the ChatGPT chatbot, although ChatGPT's owner has not open-sourced – or made widely available to others – its LLM, called GPT-4. The model, which Meta previously provided only to select academics for research purposes, also will be made available via direct download and through Amazon Web Services, Hugging Face and other providers. "Open source drives innovation because it enables many more developers to build with new technology," Zuckerberg wrote in a Facebook post.

But critics say open sourced AI models could lead to the technology being misused. Earlier this year, Meta released Llama to a select group of researchers only for the model to be leaked and later used for applications ranging from drug discovery to sexually explicit chatbots. Richard Blumenthal (D-Conn.) and Josh Hawley (R-Mo.) in June wrote to Zuckerberg arguing that in the short time generative artificial intelligence applications have become more widely available, they have already been misused for problematic content from pornographic deep fakes of real people to malware and phishing campaigns.

Although AI was recognized as strategically important before generative AI became prominent, our 2022 survey found CIOs' ambitions limited: while 94% of organizations were using AI in some way, only 14% were aiming to achieve "enterprise-wide" AI by 2025. By contrast, the power of generative AI tools to democratize AI--to spread it through every function of the enterprise, to support every employee, and to engage every customer --heralds an inflection point where AI can grow from a technology employed for particular use cases to one that truly defines the modern enterprise. As such, chief information officers and technical leaders will have to act decisively: embracing generative AI to seize its opportunities and avoid ceding competitive ground, while also making strategic decisions about data infrastructure, model ownership, workforce structure, and AI governance that will have long-term consequences for organizational success. This report explores the latest thinking of chief information officers at some of the world's largest and best-known companies, as well as experts from the public, private, and academic sectors. It presents their thoughts about AI against the backdrop of our global survey of 600 senior data and technology executives.

Fox News senior strategic analyst Gen. Jack Keane reacts to a Chinese fighter jet intercepting a U.S. aircraft and discusses the ongoing war in Ukraine. China and the United States are taking opposite approaches to governing artificial intelligence, and the contrast has big implications for both their global competition and the safety of their citizens. China has built a robust AI domestic regulatory system in public/commercial spaces but does not regulate AI use in the military, which is the opposite of the American approach. The U.S. has published robust rules for AI-driven military systems but done nothing to regulate the tech industry's hasty release of generative AI models like ChatGPT-4 to the public. China's approach to generative AI elevates political stability over innovation, with strict regulation of the private/commercial sector.

Text-to-image generation model is able to generate images across a diverse range of subjects and styles based on a single prompt. Recent works have proposed a variety of interaction methods that help users understand the capabilities of models and utilize them. However, how to support users to efficiently explore the model's capability and to create effective prompts are still open-ended research questions. In this paper, we present PromptCrafter, a novel mixed-initiative system that allows step-by-step crafting of text-to-image prompt. Through the iterative process, users can efficiently explore the model's capability, and clarify their intent. PromptCrafter also supports users to refine prompts by answering various responses to clarifying questions generated by a Large Language Model. Lastly, users can revert to a desired step by reviewing the work history. In this workshop paper, we discuss the design process of PromptCrafter and our plans for follow-up studies.