Recent advances in text-to-image generation models have unlocked vast potential for visual creativity. However, these models struggle with generation of consistent characters, a crucial aspect for numerous real-world applications such as story visualization, game development asset design, advertising, and more. Current methods typically rely on multiple pre-existing images of the target character or involve labor-intensive manual processes. In this work, we propose a fully automated solution for consistent character generation, with the sole input being a text prompt. We introduce an iterative procedure that, at each stage, identifies a coherent set of images sharing a similar identity and extracts a more consistent identity from this set. Our quantitative analysis demonstrates that our method strikes a better balance between prompt alignment and identity consistency compared to the baseline methods, and these findings are reinforced by a user study. To conclude, we showcase several practical applications of our approach. Project page is available at https://omriavrahami.com/the-chosen-one

In the 1983 movie WarGames, the US defence department runs a superintelligent central computer that is hacked into by a teenager, who unwittingly almost causes a nuclear Armageddon. The end of the world is averted when the computer, known as Joshua, learns, after playing tic-tac-toe with the teenager, that nuclear war cannot have a winner. The insight causes him to rescind missile launch orders with the comment: "A strange game. The only winning move is not to play." Joshua embodied the idea that a superintelligent AI would have an anthropomorphic mindset.

At times it felt less like Succession than Fawlty Towers, not so much Shakespearean tragedy as Laurel and Hardy farce. OpenAI is the hottest tech company today thanks to the success of its most famous product, the chatbot ChatGPT. It was inevitable that the mayhem surrounding the sacking, and subsequent rehiring, of Sam Altman as its CEO would play out across global media last week, accompanied by astonishment and bemusement in equal measure. For some, the farce spoke to the incompetence of the board; for others, to a clash of monstrous egos. In a deeper sense, the turmoil also reflected many of the contradictions at the heart of the tech industry. The contradiction between the self-serving myth of tech entrepreneurs as rebel "disruptors", and their control of a multibillion-dollar monster of an industry through which they shape all our lives.

Creating multi-view wire art (MVWA), a static 3D sculpture with diverse interpretations from different viewpoints, is a complex task even for skilled artists. In response, we present DreamWire, an AI system enabling everyone to craft MVWA easily. Users express their vision through text prompts or scribbles, freeing them from intricate 3D wire organisation. Our approach synergises 3D B\'ezier curves, Prim's algorithm, and knowledge distillation from diffusion models or their variants (e.g., ControlNet). This blend enables the system to represent 3D wire art, ensuring spatial continuity and overcoming data scarcity. Extensive evaluation and analysis are conducted to shed insight on the inner workings of the proposed system, including the trade-off between connectivity and visual aesthetics.

The wide adoption and usage of generative artificial intelligence (AI) models, particularly ChatGPT, has sparked a surge in research exploring their potential applications in the educational landscape. This survey examines academic literature published between November, 2022, and July, 2023, specifically targeting high-impact research from Scopus-indexed Q1 and Q2 journals. This survey delves into the practical applications and implications of generative AI models across a diverse range of educational contexts. Through a comprehensive and rigorous evaluation of recent academic literature, this survey seeks to illuminate the evolving role of generative AI models, particularly ChatGPT, in education. By shedding light on the potential benefits, challenges, and emerging trends in this dynamic field, the survey endeavors to contribute to the understanding of the nexus between artificial intelligence and education. The findings of this review will empower educators, researchers, and policymakers to make informed decisions about the integration of AI technologies into learning environments.

This paper introduces WordArt Designer, a user-driven framework for artistic typography synthesis, relying on the Large Language Model (LLM). The system incorporates four key modules: the LLM Engine, SemTypo, StyTypo, and TexTypo modules. 1) The LLM Engine, empowered by the LLM (e.g., GPT-3.5), interprets user inputs and generates actionable prompts for the other modules, thereby transforming abstract concepts into tangible designs. 2) The SemTypo module optimizes font designs using semantic concepts, striking a balance between artistic transformation and readability. 3) Building on the semantic layout provided by the SemTypo module, the StyTypo module creates smooth, refined images. 4) The TexTypo module further enhances the design's aesthetics through texture rendering, enabling the generation of inventive textured fonts. Notably, WordArt Designer highlights the fusion of generative AI with artistic typography. Experience its capabilities on ModelScope: https://www.modelscope.cn/studios/WordArt/WordArt.

When Sam Altman, the chief executive of OpenAI, took to the stage in San Francisco nine days ago he hinted at another significant development in the world of artificial intelligence. "Four times now in the history of OpenAI, the most recent time was just in the last couple weeks, I've gotten to be in the room, when we sort of push the veil of ignorance back and the frontier of discovery forward, and getting to do that is the professional honour of a lifetime," he told the Asia-Pacific Economic Cooperation (Apec) summit. Given that he leads the company behind ChatGPT – a chatbot that has transformed the debate around AI – this was a tantalising comment. And a major event in AI did occur the next day – Altman was fired. OpenAI's board announced on Friday 17 November that it had sacked the 38-year-old for failing to be "consistently candid in his communications" with its members, without giving further details about the alleged breaches of trust.

This week, Felix Salmon, Emily Peck, and Elizabeth Spiers discuss Sam Altman's triumphant return to OpenAI and ponder the future of the artificial intelligence industry. They also discuss the legal woes of crypto exchange Binance and its CEO Changpeng Zhao. In the Plus segment: Former Treasury Secretary Larry Summers joins OpenAI's board of directors

Sam Altman's triumph in remaining OpenAI's CEO was also a win for those seeking the swift development of artificial intelligence. OpenAI, and Altman himself, are at the heart of a debate about AI development: how quickly should humanity race toward building "artificial general intelligence"--that is, fully humanlike intelligence, or maybe even superhuman intelligence.

In the past week, Sam Altman was fired as CEO of OpenAI, stumbled in a coup to return and then finally secured his old job at the artificial intelligence company. A team of reporters at The Wall Street Journal has hustled to find out what happened, why, what's next and what the consequences are for Altman, employees, investors, customers--and the future of AI. Here, please find a selection of our work thus far.