Large language models (LLMs) increasingly mediate human decision-making and behaviour. Ensuring LLM processing of moral meaning therefore has become a critical challenge. Current approaches rely predominantly on bottom-up methods such as fine-tuning and reinforcement learning from human feedback. We propose a fundamentally different approach: embedding moral meaning processing directly into the architectural mechanisms and frameworks of transformer-based models through top-down design principles. We first sketch a framework that conceptualizes attention as a dynamic interface mediating between structure and processing, contrasting with existing linear attention frameworks in psychology. We start from established biological-artificial attention analogies in neural architecture design to improve cognitive processing. We extend this analysis to moral processing, using Iris Murdoch's theory of loving attention (sustained, just observation that enables moral transformation by reseeing others with clarity and compassion) to philosophically discuss functional analogies between human and LLM moral processing. We formulate and evaluate potentially promising technical operationalizations to embed morality in LLM architectures and frameworks. We acknowledge the limitations of our exploration and give three key contributions. (1) We conceptualize attention as a dynamic system mechanism mediating between structure and processing. (2) Drawing on the Murdoch notion of loving attention, we outline technical pathways for embedding morality in LLMs, through modified training objectives, runtime weight adjustments, and architectural refinements to attention. (3) We argue that integrating morality into architectures and frameworks complements external, constraint-based methods. We conclude with a call for collaboration between transformer designers and philosophers engaged in AI ethics.

Beneath gilded portraits and suits of armour in Windsor Castle, 160 guests wined and dined at a lavish banquet to fete US President Donald Trump's unprecedented second state visit to the UK on Wednesday evening. Along with the impeccable table settings, three-course meal and custom cocktail, who was there and, just as importantly, who was seated next to who is carefully planned, since the event is as much about diplomacy as it is about fine dining. This year's guest list was conspicuously missing screen stars or celebrity faces, with not even royal perennials like Sir David Beckham or Sir Elton John attending. Instead, the list was mostly royals, tech and finance executives, and politicos from both sides of the Atlantic. From Trump's seat of honour at the centre of the table, next to his host King Charles III, those up and down the table ranged from lesser-known but influential White House players to professional golfers.

It has been 113 years since the Titanic sank beneath the waves, claiming the lives of more than 1,500 passengers and crew. But new evidence has finally cleared the tragedy's Scottish scapegoat: First Officer William Murdoch. For years, Officer Murdoch has been accused of taking bribes, abandoning his post, and was even depicted shooting a passenger in the James Cameron movie. Now, more than a century later, 3D scans show that Officer Murdoch did not flee his position, but died while helping passengers escape until the very end. Deep sea scanning company Magellan has snapped 715,000 photos of the Titanic wreck 12,500 feet beneath the Atlantic.

Lachlan Murdoch will become the sole chair of both companies in November. As Rupert Murdoch marked his final day as Executive Chairman of News Corp on Wednesday, the media icon saluted his son Lachlan as the right man to lead the company forward. "Lachlan is a principled leader, and a believer in the social purpose of journalism. I hope to continue an active role in the company," Rupert Murdoch said during the company's annual shareholders meeting. Rupert Murdoch, 92, will now be Chairman Emeritus of FOX Corporation and News Corp; he will mark his final day at the former on Friday.

University of Toronto professor Geoffrey Hinton, often called the " Godfather of AI" for his pioneering research on neural networks, recently became the industry's unofficial watchdog. He quit working at Google this spring to more freely critique the field he helped pioneer. He saw the recent surge in generative AIs like ChatGPT and Bing Chat as signs of unchecked and potentially dangerous acceleration in development. Google, meanwhile, was seemingly giving up its previous restraint as it chased competitors with products like its Bard chatbot. At this week's Collision conference in Toronto, Hinton expanded his concerns.

The potential is huge, which is why Microsoft is extending its partnership with OpenAI through a "multiyear, multibillion dollar investment"--reportedly a $10 billion outlay that would value the company at near $30 billion. One can imagine a future where everyone has a "generative A.I." assistant that offers quick solutions to business challenges, writes instant computer code based on verbal commands, and conjures up art and video on demand. But the downsides are clear as well. ChatGPT is often wrong, and provides no attribution or sourcing for its information. It has made it instantly easier to saturate the Internet with invasive ads and dubious information, and has opened up a whole new superhighway for cheating in schools.

When DeepMind, an Alphabet subsidiary, started off more than a decade ago, solving some most pressing research questions and problems with AI wasn't at the top of the company's mind. Instead, the company started off AI research with computer games. Every score and win was a measuring stick of success, and pointed to DeepMind's AI going in the right direction. "Five years ago, we conquered the game of Go. This was a great moment," said Colin Murdoch, the chief business officer, during a fireside chat on Tuesday at the AI Hardware Summit being held in Santa Clara, California.

A picture may be worth a thousand words, but thanks to an artificial intelligence program called DALL-E 2, you can have a professional-looking image with far fewer. DALL-E 2 is a new neural network algorithm that creates a picture from a short phrase or sentence that you provide. The program, which was announced by the artificial intelligence research laboratory OpenAI in April 2022, hasn't been released to the public. But a small and growing number of people – myself included – have been given access to experiment with it. As a researcher studying the nexus of technology and art, I was keen to see how well the program worked.

A picture may be worth a thousand words, but thanks to an artificial intelligence program called DALL-E 2, you can have a professional-looking image with far fewer. DALL-E 2 is a new neural network algorithm that creates a picture from a short phrase or sentence that you provide. The program, which was announced by the artificial intelligence research laboratory OpenAI in April 2022, hasn't been released to the public. But a small and growing number of people – myself included – have been given access to experiment with it. As a researcher studying the nexus of technology and art, I was keen to see how well the program worked.

The home of hacking in wartime Britain, Bletchley Park, was one of the victims of a major ransomware attack that hit software provider Blackbaud. The firm held data about people who had donated to the trust that manages the Bletchley Park museum. Harvard University has also joined the growing list of victims, which have mostly been charities and universities. Bletchley Park Trust said it was confident any exposed data was now secure. The trust added that data exposed to the hackers might have included names, dates of birth, email addresses, donation history and details of event attendance – but not credit and debit card details or bank account information.