With the rise of Large Language Models (LLMs), notably characterized by GPT frameworks, there emerges a catalyst for novel healthcare applications. Earlier iterations of chatbot caregivers, though existent, have yet to achieve a dimension of human-like authenticity. This paper unveils `MemoryCompanion' a pioneering digital health solution explicitly tailored for Alzheimer's disease (AD) patients and their caregivers. Drawing upon the nuances of GPT technology and prompt engineering, MemoryCompanion manifests a personalized caregiving paradigm, fostering interactions via voice-cloning and talking-face mechanisms that resonate with the familiarity of known companions. Using advanced prompt-engineering, the system intricately adapts to each patient's distinct profile, curating its content and communication style accordingly. This approach strives to counteract prevalent issues of social isolation and loneliness frequently observed in AD demographics. Our methodology, grounded in its innovative design, addresses both the caregiving and technological challenges intrinsic to this domain.

From text to audio and image, today's generative-AI systems are trained on large quantities of human-generated content. Most of this content is obtained by scraping a variety of online sources. As generative AI becomes more common, it is reasonable to expect that future data scraping will invariably catch generative AI's own creations. We ask what happens when these generative systems are trained on varying combinations of human-generated and AI-generated content. Although it is early in the evolution of generative AI, there is already some evidence that retraining a generative AI model on its own creation - what we call model poisoning - leads to a range of artifacts in the output of the newly trained model. It has been shown, for example, that when retrained on their own output, large language models (LLMs) contain irreversible defects that cause the model to produce gibberish - so-called model collapse [22].

Chatbots and AI-agents have become widespread in customer service and in applications like knowledge management, recommender systems, and help desks. Businesses increasingly want to benefit from the capabilities of large language models like OpenAI's GPT-4 and applications powered by such models. Nevertheless, the use of generative AI by companies has been seriously slowed down by concerns about data protection and by the fact that generative AI is known to sometimes make things up - create "hallucinations" as it is often called. Even if an answer does not contain hallucinated information, it may still suffer from incompleteness or misleadingly connected pieces of information. However, companies that want to use AI-agents in non-trivial circumstances need to be able to control them, in particular in customer-facing applications. It would be very unfortunate if it misinforms customers about the company's products or prices. It should also stick very closely to the intended marketing messages. While there is a lot of discussion about "safe AI", "reliable AI", "trustworthy AI", "explainable AI" (XAI) etc., the question of "controllable AI" is rarely discussed. However, as stated above, it is very often crucial that enterprises cannot just rely on, but are in fact able to control an AI system (more precisely, exercise control at design time how the system will behave at runtime).

AI-based image generation has continued to rapidly improve, producing increasingly more realistic images with fewer obvious visual flaws. AI-generated images are being used to create fake online profiles which in turn are being used for spam, fraud, and disinformation campaigns. As the general problem of detecting any type of manipulated or synthesized content is receiving increasing attention, here we focus on a more narrow task of distinguishing a real face from an AI-generated face. This is particularly applicable when tackling inauthentic online accounts with a fake user profile photo. We show that by focusing on only faces, a more resilient and general-purpose artifact can be detected that allows for the detection of AI-generated faces from a variety of GAN- and diffusion-based synthesis engines, and across image resolutions (as low as 128 x 128 pixels) and qualities.

According to tech news site the Information, Mr Altman and Greg Brockman - another co-founder who quit on Friday as the company's president - were invited to the firm's San Francisco headquarters for talks on Sunday.

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When Sam Altman, Elon Musk, and other investors formed the startup behind ChatGPT as a US not-for-profit organization in 2015, Altman told Vanity Fair he had very little experience with nonprofits. "So I'm just not sure how it's going to go," he said. He couldn't have imagined the drama of this week, with four directors on OpenAI's nonprofit board unexpectedly firing him as CEO and removing the company's president as chairman of the board. But the bylaws Altman and his cofounders initially established and a restructuring in 2019 that opened the door to billions of dollars in investment from Microsoft gave a handful of people with no financial stake in the company the power to upend the project on a whim. An attempt to restore Altman as CEO and replace the board ran into difficulty Sunday over the role of existing directors in choosing their replacements, Bloomberg reported.

Newly ousted OpenAI CEO Sam Altman and former president Greg Brockman are meeting with executives at the company's San Francisco headquarters now as discussions about possibly reinstating their positions continue, The Information reports. Per The Information, interim CEO Mira Murati and others have been leading the push to get Altman reinstated as CEO, and invited the two to HQ on Sunday. Altman and Brockman showed up for talks this afternoon, sources told The Information. Around the time of the report's publication, Altman tweeted a photo of himself wearing a guest badge for entry into the building, writing, "first and last time i ever wear one of these (sic)" -- which could be interpreted several different ways, at this point. Sources told The Verge that Altman has set a 5PM PT deadline for board members to reach an agreement that could ultimately determine whether he walks away from OpenAI, or they do. After Altman was fired without warning on Friday, Brockman stepped down in solidarity, along with a slew of senior researchers.

Sam Altman is being lined up for a surprise return as the chief executive of the ChatGPT developer OpenAI amid pressure from investors to reverse his surprise ousting. Altman was fired by the company board on Friday, citing a failure to be "candid in his communications", in a move that shocked Silicon Valley. However, OpenAI's investors – who include Microsoft – are pushing for his reinstatement, according to reports. On Saturday, the Information, a tech news website, reported that OpenAI was "optimistic" it could bring back Altman. The report quoted a memo from the company's chief strategy officer, Jason Kwon, telling staff that an effort was under way to bring back Altman and other senior colleagues who had left. "We are still working towards a resolution and we remain optimistic," Kwon wrote, according to the Information.

The news on Friday that Sam Altman, the chief executive of OpenAI, had been abruptly sacked by the company's board came as a shock to the tech industry. "Mr Altman's departure," said the ponderous announcement, "follows a deliberative review process by the board, which concluded that he was not consistently candid in his communications with the board, hindering its ability to exercise its responsibilities. The board no longer has confidence in his ability to continue leading OpenAI." Given that, ever since ChatGPT took the world by storm last December, Altman has been the photogenic poster-boy for generative AI – the darling of the mainstream media and an honoured invitee to the corridors of western power – news of his sudden fall from grace launched a torrent of excited speculation in the tech commentariat. Nobody, it seems, actually knew anything, but there was a consensus that Something Was Up. No doubt we will get to the bottom of the mystery in due course, but for now a more productive line of inquiry might be into the corporate history of OpenAI.