Elon Musk has filed a lawsuit accusing OpenAI and its chief executive, Sam Altman, of breaching its foundational mission by putting the pursuit of profit ahead of the benefit of humanity. The world's richest man, a founding board member of the artificial intelligence company behind ChatGPT, claimed that Altman had "set aflame" the OpenAI's founding agreement by signing an investment deal with Microsoft. The lawsuit, filed in San Francisco on Thursday, claims that OpenAI is now developing artificial general intelligence (AGI) – a theoretical form of AI that can perform a range of tasks at or above a human level of intelligence – for profit rather than for the benefit of humankind. "OpenAI Inc has been transformed into a closed-source, de facto subsidiary of the largest technology company in the world: Microsoft. Under its new board, it is not just developing but is actually refining an AGI to maximise profits for Microsoft, rather than for the benefit of humanity," the lawsuit alleges.

Elon Musk sued OpenAI and its Chief Executive Officer Sam Altman, alleging they violated the artificial intelligence startup's founding mission by putting profit ahead of benefiting humanity. The 52-year-old billionaire, who was a co-founder of OpenAI but no longer has a stake, said in a lawsuit filed late Thursday in San Francisco that the company's close relationship with Microsoft Corp. has undermined its original mission of creating open-source technology that wouldn't be subject to corporate priorities. Musk, who is also CEO of Tesla Inc., has been among the most outspoken about the dangers of AI and artificial general intelligence, or AGI. The release of OpenAI's ChatGPT more than a year ago popularized advances in AI technology and raised concerns about the risks surrounding the race to develop AGI, where computers are as smart as an average human. "To this day, OpenAI Inc.'s website continues to profess that its charter is to ensure that AGI'benefits all of humanity,'" the lawsuit said.

One scorching day this past September, I made the dangerous decision to try to circumnavigate some data centers. The ones I chose sit between a regional airport and some farm fields in Goodyear, Arizona, half an hour's drive west of downtown Phoenix. When my Uber pulled up beside the unmarked buildings, the temperature was 97 degrees Fahrenheit. The air crackled with a latent energy, and some kind of pulsating sound was emanating from the electric wires above my head, or maybe from the buildings themselves. With no shelter from the blinding sunlight, I began to lose my sense of what was real. Microsoft announced its plans for this location, and two others not so far away, back in 2019--a week after the company revealed its initial 1 billion investment in OpenAI, the buzzy start-up that would later release ChatGPT.

As generative AI systems like OpenAI's ChatGPT and Google's Gemini become more advanced, they are increasingly being put to work. Startups and tech companies are building AI agents and ecosystems on top of the systems that can complete boring chores for you: think automatically making calendar bookings and potentially buying products. But as the tools are given more freedom, it also increases the potential ways they can be attacked. Now, in a demonstration of the risks of connected, autonomous AI ecosystems, a group of researchers have created one of what they claim are the first generative AI worms--which can spread from one system to another, potentially stealing data or deploying malware in the process. "It basically means that now you have the ability to conduct or to perform a new kind of cyberattack that hasn't been seen before," says Ben Nassi, a Cornell Tech researcher behind the research.

OpenAI has been without a full board since November, after several members of its previous board stepped down amid a chaotic leadership turmoil that started when its CEO, Sam Altman, was fired. OpenAI's previous board fired Altman saying he had not been "consistently candid in his communications" with board members. After several days of furious backlash from employees and investors, Altman was reinstated as CEO and the company announced a new council meant to set up the new board.

Generative AI has the potential to create a new form of interactive media: AI-bridged creative language arts (CLA), which bridge the author and audience by personalizing the author's vision to the audience's context and taste at scale. However, it is unclear what the authors' values and attitudes would be regarding AI-bridged CLA. To identify these values and attitudes, we conducted an interview study with 18 authors across eight genres (e.g., poetry, comics) by presenting speculative but realistic AI-bridged CLA scenarios. We identified three benefits derived from the dynamics between author, artifact, and audience: those that 1) authors get from the process, 2) audiences get from the artifact, and 3) authors get from the audience. We found how AI-bridged CLA would either promote or reduce these benefits, along with authors' concerns. We hope our investigation hints at how AI can provide intriguing experiences to CLA audiences while promoting authors' values.

Human emotions are essentially molded by lived experiences, from which we construct personalised meaning. The engagement in such meaning-making process has been practiced as an intervention in various psychotherapies to promote wellness. Nevertheless, to support recollecting and recounting lived experiences in everyday life remains under explored in HCI. It also remains unknown how technologies such as generative AI models can facilitate the meaning making process, and ultimately support affective mindfulness. In this paper we present Metamorpheus, an affective interface that engages users in a creative visual storytelling of emotional experiences during dreams. Metamorpheus arranges the storyline based on a dream's emotional arc, and provokes self-reflection through the creation of metaphorical images and text depictions. The system provides metaphor suggestions, and generates visual metaphors and text depictions using generative AI models, while users can apply generations to recolour and re-arrange the interface to be visually affective. Our experience-centred evaluation manifests that, by interacting with Metamorpheus, users can recall their dreams in vivid detail, through which they relive and reflect upon their experiences in a meaningful way.

Large language models (LLMs) are shaping a new user interface (UI) paradigm in writing tools by enabling users to generate text through prompts. This paradigm shifts some creative control from the user to the system, thereby diminishing the user's authorship and autonomy in the writing process. To restore autonomy, we introduce Textfocals, a UI prototype designed to investigate a human-centered approach that emphasizes the user's role in writing. Textfocals supports the writing process by providing LLM-generated summaries, questions, and advice (i.e., LLM views) in a sidebar of a text editor, encouraging reflection and self-driven revision in writing without direct text generation. Textfocals' UI affordances, including contextually adaptive views and scaffolding for prompt selection and customization, offer a novel way to interact with LLMs where users maintain full authorship of their writing. A formative user study with Textfocals showed promising evidence that this approach might help users develop underdeveloped ideas, cater to the rhetorical audience, and clarify their writing. However, the study also showed interaction design challenges related to document navigation and scoping, prompt engineering, and context management. Our work highlights the breadth of the design space of writing support interfaces powered by generative AI that maintain authorship integrity.

Last year Stack Overflow became one of the first websites to announce it would charge AI giants for access to content used to train chatbots. Now the popular Q&A service for coders has signed up its first customer--Google--in what CEO Prashanth Chandrasekar says is the start of a "meaningful" new stream of revenue. The deal is significant, because it remains unclear how broadly Google and other AI developers will pay for content needed for AI projects. Millions of books and websites have fueled the development of AI systems, but most publishers have not been compensated, and some are suing over what they allege is misuse. Many publishers, including Stack Overflow, appear threatened by ChatGPT and other generative AI products, which can answer queries that would have previously sent coders their way.

It took Ralph Ellison seven years to write Invisible Man. It took J. D. Salinger about 10 to write The Catcher in the Rye. J. K. Rowling spent at least five years on the first Harry Potter book. Writing with the hope of publishing is always a leap of faith. Will you finish the project?