Allow me to explain my toilet theory of the internet. The premise, while unprovable, is quite simple: At any given moment, a great deal of the teeming, frenetic activity we experience online--clicks, views, posts, comments, likes, and shares--is coming from people who are scrolling on their phones in the bathroom. Mindless scrolling isn't limited to the bathroom, and plenty of idle or bored swiping happens during other down moments--while waiting in line, or sitting in gridlocked traffic. Right now, somebody somewhere is probably reading an article or liking an Instagram post with a phone in one hand and an irritable infant in the other. The toilet theory is mostly a reminder to myself that the internet is a huge place that is visited countless times each day by billions of people in between and during all the mundane things they have to do.

In July last year, OpenAI announced the formation of a new research team that would prepare for the advent of supersmart artificial intelligence capable of outwitting and overpowering its creators. Ilya Sutskever, OpenAI's chief scientist and one of the company's cofounders, was named as the colead of this new team. OpenAI said the team would receive 20 percent of its computing power. Now OpenAI's "superalignment team" is no more, the company confirms. That comes after the departures of several researchers involved, Tuesday's news that Sutskever was leaving the company, and the resignation of the team's other colead.

Tech pundits are fond of using the term "inflection points" to describe those rare moments when new technology wipes the board clean, opening up new threats and opportunities. But one might argue that in the past few years what used to be called out as an inflection point might now just be called "Monday." Certainly that applied this week. OpenAI, denying rumors that it would unveil either an AI-powered search product or its next-generation model GPT-5, instead announced something different, but nonetheless eye-popping, on Monday. It was a new flagship model called GPT-4o, to be made available for free, which uses input and output in various modes--text, speech, vision--for disturbingly natural interaction with humans. What struck many observers about the demo was how playful and even provocative the emotionally expressive chatbot was--but also imbued with the encyclopedic knowledge of data sets encompassing much of the world's knowledge.

A Tokyo court on Thursday ruled against granting patents to inventions generated by artificial intelligence in a dispute over whether AI -- not human beings -- can be recognized as an inventor. The ruling comes amid ongoing debates on how to regulate generative AI and is part of a transnational class action lawsuit launched by Ryan Abbott, a law and health science professor at the University of Surrey in England. The plaintiff filed for a patent in 2021 for a device generated by AI, listing the inventor's name as "DABUS, an artificial intelligence that autonomously invented this invention." Device for the Autonomous Bootstrapping of Unified Sentience (DABUS) is an AI system developed by Stephen Thaler, a computer scientist and president of Imagination Engines, an AI technology company.

Reddit Inc. forged a partnership with OpenAI that will bring its content to the chatbot ChatGPT and other products, while also helping the social media company add new artificial intelligence features to its forums. Shares of Reddit, which had their initial public offering in March, jumped as much as 15% in late trading following the announcement. The agreement "will enable OpenAI's AI tools to better understand and showcase Reddit content, especially on recent topics," the companies said Thursday in a joint statement. The deal allows OpenAI to display Reddit's content and train AI systems on its partner's data. Reddit will also offer its users new AI-based tools built on models created by OpenAI, which will place ads on its partner's site.

In the rapidly evolving field of business process management, there is a growing need for analytical tools that can transform complex data into actionable insights. This research introduces a novel approach by integrating Large Language Models (LLMs), such as ChatGPT, into process mining tools, making process analytics more accessible to a wider audience. The study aims to investigate how ChatGPT enhances analytical capabilities, improves user experience, increases accessibility, and optimizes the architectural frameworks of process mining tools. The key innovation of this research lies in developing a tailored prompt engineering strategy for each process mining submodule, ensuring that the AI-generated outputs are accurate and relevant to the context. The integration architecture follows an Extract, Transform, Load (ETL) process, which includes various process mining engine modules and utilizes zero-shot and optimized prompt engineering techniques. ChatGPT is connected via APIs and receives structured outputs from the process mining modules, enabling conversational interactions. To validate the effectiveness of this approach, the researchers used data from 17 companies that employ BehfaLab's Process Mining Tool. The results showed significant improvements in user experience, with an expert panel rating 72% of the results as "Good". This research contributes to the advancement of business process analysis methodologies by combining process mining with artificial intelligence. Future research directions include further optimization of prompt engineering, exploration of integration with other AI technologies, and assessment of scalability across various business environments. This study paves the way for continuous innovation at the intersection of process mining and artificial intelligence, promising to revolutionize the way businesses analyze and optimize their processes.

With impressive achievements made, artificial intelligence is on the path forward to artificial general intelligence. Sora, developed by OpenAI, which is capable of minute-level world-simulative abilities can be considered as a milestone on this developmental path. However, despite its notable successes, Sora still encounters various obstacles that need to be resolved. In this survey, we embark from the perspective of disassembling Sora in text-to-video generation, and conducting a comprehensive review of literature, trying to answer the question, \textit{From Sora What We Can See}. Specifically, after basic preliminaries regarding the general algorithms are introduced, the literature is categorized from three mutually perpendicular dimensions: evolutionary generators, excellent pursuit, and realistic panorama. Subsequently, the widely used datasets and metrics are organized in detail. Last but more importantly, we identify several challenges and open problems in this domain and propose potential future directions for research and development.

In the era of exponential technology growth, one unexpected guest has claimed a seat in classrooms worldwide, Artificial Intelligence. Generative AI, such as ChatGPT, promises a revolution in education, yet it arrives with a double-edged sword. Its potential for personalized learning is offset by issues of cheating, inaccuracies, and educators struggling to incorporate it effectively into their lesson design. We are standing on the brink of this educational frontier, and it is clear that we need to navigate this terrain with a lot of care. This is a major challenge that could undermine the integrity and value of our educational process. So, how can we turn these challenges into opportunities? When used inappropriately, AI tools can become the perfect tool for the cut copy paste mentality, and quickly begin to corrode critical thinking, creativity, and deep understanding, the most important skills in our rapidly changing world. Teachers feel that they are not equipped to leverage this technology, widening the digital divide among educators and institutions. Addressing these concerns calls for an in depth research approach. We will employ empirical research, drawing on the Technology Acceptance Model, to assess the attitudes toward generative AI among educators and students. Understanding their perceptions, usage patterns, and hurdles is the first crucial step in creating an effective solution. The present study will be used as a process manual for future researchers to apply, running their own data, based on the steps explained here

In recent years, the study of artificial intelligence (AI) has undergone a paradigm shift. This has been propelled by the groundbreaking capabilities of generative models both in supervised and unsupervised learning scenarios. Generative AI has shown state-of-the-art performance in solving perplexing real-world conundrums in fields such as image translation, medical diagnostics, textual imagery fusion, natural language processing, and beyond. This paper documents the systematic review and analysis of recent advancements and techniques in Generative AI with a detailed discussion of their applications including application-specific models. Indeed, the major impact that generative AI has made to date, has been in language generation with the development of large language models, in the field of image translation and several other interdisciplinary applications of generative AI. Moreover, the primary contribution of this paper lies in its coherent synthesis of the latest advancements in these areas, seamlessly weaving together contemporary breakthroughs in the field. Particularly, how it shares an exploration of the future trajectory for generative AI. In conclusion, the paper ends with a discussion of Responsible AI principles, and the necessary ethical considerations for the sustainability and growth of these generative models.

OpenAI and Reddit announced a partnership on Thursday that will allow OpenAI to surface Reddit discussions in ChatGPT and for Reddit to bring AI-powered features to its users. The partnership will "enable OpenAI's tools to better understand and showcase Reddit content, especially on recent topics," both companies said in a joint statement. As part of the agreement, OpenAI will also become an advertising partner on Reddit, which means that it will run ads on the platform. The deal is similar to the one that Reddit signed with Google in February, and which is reportedly worth 60 million. A Reddit spokesperson declined to disclose the terms of the OpenAI deal to Engadget and OpenAI did not respond to a request for comment.