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"Ultimately, he suggests, each user would have their own "large language model" (LLM), the underlying technology of services such as ChatGPT, which would be trained on their own speech and behaviour patterns, to let them generate extremely personalised responses to queries and requests. Such systems could be a natural progression from AI tools that already exist today. Services such as Gmail can summarise and suggest replies to emails based on previous messages, while Microsoft Teams will transcribe and summarise video conferences, automatically generating a to-do list from the contents."

"Google announced on Thursday that it would refine and retool its summaries of search results generated by artificial intelligence, posting a blog explaining why the feature was returning bizarre and inaccurate answers that included telling people to eat rocks or add glue to pizza sauce. The company will reduce the scope of searches that will return an AI-written summary."

"Jadoun was trying to capture enough audio and video data to build an AI deepfake of Rathore that would convince 300,000 potential voters around Ajmer that they'd had a personalized conversation with him-but excess movement would break the algorithm."

"The tech giant is partnering with OpenAI to integrate its chatbot, ChatGPT, into the iPhone's operating system, Bloomberg reported. Apple is expected to announce the deal at its annual Worldwide Developers Conference which starts on June 10."

"In a sharply worded warning, the cancer experts say that 'novel solutions' such as new diagnostic tests have been wrongly hyped as 'magic bullets' for the cancer crisis, but 'none address the fundamental issues of cancer as a systems problem'. A 'common fallacy' of NHS leaders is the assumption that new technologies can reverse inequalities, the authors add. The reality is that tools such as AI can create 'additional barriers for those with poor digital or health literacy'. 'We caution against technocentric approaches without robust evaluation from an equity perspective,' the paper concludes."

"Seeing an opportunity, Franklin decided to take advantage. On 9 July, the company said that it would begin to support digital employees as part of its platform and treat them like any other employee. "Today Lattice is making AI history," Franklin pronounced. "We will be the first to give digital workers official employee records in Lattice. Digital workers will be securely onboarded, trained and assigned goals, performance metrics, appropriate systems access and even a manager. Just as any person would be." The pushback was swift - and, in many cases, brutal, particularly on LinkedIn, which is generally not known for its savage engagement like X (formerly known as Twitter). "This strategy and messaging misses the mark in a big way, and I say that as someone building an AI company," said Sawyer Middeleer, an executive at a firm that uses AI to help with sales research, on LinkedIn. "Treating AI agents as employees disrespects the humanity of your real employees. Worse, it implies that you view humans simply as 'resources' to be optimized and measured against machines. It's the exact opposite of a work environment designed to elevate the people who contribute to it.""

"Tech determinism is an ideology, really; it's what determines how you think when you don't even know that you're thinking. And it feeds on a narrative of technological inevitability, which says that new stuff is coming down the line whether you like it or not. As the writer LM Sacasas puts it, "all assertions of inevitability have agendas, and narratives of technological inevitability provide convenient cover for tech companies to secure their desired ends, minimise resistance, and convince consumers that they are buying into a necessary, if not necessarily desirable future"."

"Aussies bothered by their bosses at home can now rest assured they cannot be punished for ignoring such after-hours demands. Lawmakers there passed a "right to disconnect" bill designed to end the creep of work into home life-and an explosion of unpaid overtime."

"In one activity, my students drafted a paragraph in class, fed their work to ChatGPT with a revision prompt, and then compared the output with their original writing. However, these types of comparative analyses failed because most of my students were not developed enough as writers to analyze the subtleties of meaning or evaluate style. "It makes my writing look fancy," one PhD student protested when I pointed to weaknesses in AI-revised text. My students also relied heavily on AI-powered paraphrasing tools such as Quillbot. Paraphrasing well, like drafting original research, is a process of deepening understanding. Recent high-profile examples of "duplicative language" are a reminder that paraphrasing is hard work. It is not surprising, then, that many students are tempted by AI-powered paraphrasing tools. These technologies, however, often result in inconsistent writing style, do not always help students avoid plagiarism, and allow the writer to gloss over understanding. Online paraphrasing tools are useful only when students have already developed a deep knowledge of the craft of writing."

"In addition to their usual job of grubbing out bad human edits, they're having to spend an increasing amount of their time trying to weed out AI filler. 404 Media has talked to Ilyas Lebleu, an editor at the crowdsourced encyclopedia who was involved in founding the "WikiProject AI Cleanup" project. The group is trying to come up with best practices to detect machine-generated contributions. (And no, before you ask, AI is useless for this.)"

"The climate crisis could prove AI's greatest challenge. While Google publicises AI-driven advances in flooding, wildfire and heatwave forecasts, like many big tech companies, it uses more energy than many countries. Today's large models are a major culprit. It can take 10 gigawatt-hours of power to train a single large language model like OpenAI's ChatGPT, enough to supply 1,000 US homes for a year."

"When "I can has cheezburger?" became one of the first internet memes to blow our minds, it's unlikely that anyone worried about how much energy it would use up. But research has now found that the vast majority of data stored in the cloud is "dark data", meaning it is used once then never visited again. That means that all the memes and jokes and films that we love to share with friends and family - from "All your base are belong to us", through Ryan Gosling saying "Hey Girl", to Tim Walz with a piglet - are out there somewhere, sitting in a datacentre, using up energy. By 2030, the National Grid anticipates that datacentres will account for just under 6% of the UK's total electricity consumption, so tackling junk data is an important part of tackling the climate crisis. Ian Hodgkinson, a professor of strategy at Loughborough University has been studying the climate impact of dark data and how it can be reduced."

"The aidbot is a chatbot - a type of AI system designed to communicate with its users online - that links to WhatsApp. It is programmed to ask simple questions about the types of aid people require along with their names and locations. This information is then recorded onto a Google spreadsheet which Hania and her team of unpaid volunteers, made up of friends and family, access to distribute aid such as food, blankets, mattresses, medicine and clothes. Hania used her spare time to build the bot using the website Callbell.eu, which is commonly used by businesses to engage with customers on Meta's platforms such as WhatsApp, Instagram and Facebook messenger. She explains that the bot, which is still being used today, makes distributing aid more efficient as it cuts down the amount of time she spends responding to requests for aid over WhatsApp."

"Both industries are at an impasse: tech insisting that enforcing copyright laws on AI is unfeasible and regressive, creatives that opting out is unworkable and unjust. It is up to government to foster a fair agreement in which both flourish. This is a pivotal moment for our cultural future. The artistic community has spoken. Now ministers must listen, take their concerns seriously and respond. We must protect our creators at all costs."

"The purpose of handing the economy off to the synths is so that we can do the kinds of tasks that every human would wake up in the morning eager to do. There should not be any human doing a task they find a waste of their talent. If it is a job where productivity matters, a human should not be doing it. Productivity is for robots. Humans should be doing the jobs where inefficiency reigns - art, exploration, invention, innovation, small talk, adventure, companionship. All the productive chores should be handled by the billions of AIs we make. Therefore our task right now - as humans - is to make sure that in the following decades as our biological numbers start to shrink on this planet, that we can repopulate it with a sufficient number of synthetic agents, bots, and robots with sufficient intelligence, grit, perseverance, and moral training to take over the economy in time to keep our living standards rising. We are not replacing existing humans with bots, nor are we replacing unborn humans with bots. Rather we are replacing never-to-be-born humans with bots, and the relationship that we have with those synthetic agents and ems, will be highly mutual. We build an economy around their needs, and propelled by their labor, and rewarding their work, but all of this is in service of our own definition of progress and human success."