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"And Israeli company Optimove is helping. It normally gathers customer data to create targeted online ads, but as a service to gambling companies it has trained its AI to flag the online players who are most at risk.  It analyzes the behavior patterns characteristic of gambling addicts, which include the hours of the day and night when they place bets, the time they spend on the betting site, and how much they keep on playing to 'chase their losses'."

"In combining these factors, we arrive at a civilization built upon a technological infrastructure that we fundamentally cannot understand. The same systems that promise us technological emancipation put the whole of society at risk. I vaguely recall a wise man once saying that only the fool builds his house upon sand. And so, how can a society maintain itself if the stones of its foundation are black boxes? Before we answer this question, let's examine the current state of affairs."

"A pilot study by academics at the University of Oxford found some care providers had been using generative AI chatbots such as ChatGPT and Bard to create care plans for people receiving care. That presents a potential risk to patient confidentiality, according to Dr Caroline Green, an early career research fellow at the Institute for Ethics in AI at Oxford, who surveyed care organisations for the study. "If you put any type of personal data into [a generative AI chatbot], that data is used to train the language model," Green said. "That personal data could be generated and revealed to somebody else." She said carers might act on faulty or biased information and inadvertently cause harm, and an AI-generated care plan might be substandard."

"Meta estimates about 100,000 children using Facebook and Instagram receive online sexual harassment each day, including "pictures of adult genitalia", according to internal company documents made public late Wednesday."

"Actually, ChatGPT was freaking out in many ways yesterday, but one recurring theme was that it would be prompted with a normal question - typically something involving the tech business or the user's job - and respond with something flowery to the point of unintelligibility. For instance, according to an X post by architect Sean McGuire, the chatbot advised him at one point to ensure that "sesquipedalian safes are cross-keyed and the consul's cry from the crow's nest is met by beatine and wary hares a'twist and at winch in the willow.""

"The announcement also highlights the growing partnership between Meta and Nvidia. Nvidia is a key Meta partner, providing the Facebook parent with computing chips called GPUs to help train its AI models, including the latest version of Llama."

"research consistently shows that social media is exploited to facilitate political intimidation and violence. What's more, certain features of social media platforms make them particularly susceptible to such exploitation, and some of those features can be changed to reduce the danger. "

"Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called "AI hallucinations". We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems."

"To find more glyphs, researchers led by archaeologist Masato Sakai of Yamagata University trained an AI program to identify relief-type glyphs in high-resolution drone images taken of the entire region. The program identified 1309 possible geoglyphs, and the team confirmed 303 of them with on-the-ground surveys, almost doubling the number of known geoglyphs of this type, the researchers report today in the Proceedings of the National Academy of Sciences."

"Nvidia's Rise to $3 Trillion Fuels 'Jensanity' in Tech World "

"Hospitals in London have had to cancel cancer operations this week because of a Russian cyber-attack that continues to cause serious disruption to NHS services in the capital. St Thomas' and King's College hospitals have postponed procedures that their surgeons were due to perform on cancer patients since the attack began last Monday, the Guardian can reveal."

"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."

"Google's goal of reducing its climate footprint is in jeopardy as it relies on more and more energy-hungry data centres to power its new artificial intelligence products. The tech giant revealed Tuesday that its greenhouse gas emissions have climbed 48% over the past five years. Google said electricity consumption by data centres and supply chain emissions were the primary cause of the increase. It also revealed in its annual environmental report that its emissions in 2023 had risen 13% compared with the previous year, hitting 14.3m metric tons."

"Or, as the New York Times summarised it, "doctors who were given ChatGPT-4 along with conventional resources did only slightly better than doctors who did not have access to the bot. And, to the researchers' surprise, ChatGPT alone outperformed the doctors." More interesting, though, were two other revelations: the experiment demonstrated doctors' sometimes unwavering belief in a diagnosis they had made, even when ChatGPT suggested a better one; and it also suggested that at least some of the physicians didn't really know how best to exploit the tool's capabilities. Which in turn revealed what AI advocates such as Ethan Mollick have been saying for aeons: that effective "prompt engineering" - knowing what to ask an LLM to get the most out of it - is a subtle and poorly understood art."

"A source told Reuters that OpenAI has tested a model internally that achieved a 90 percent score on a challenging test of AI math skills, though it again couldn't confirm if this was related to project Strawberry. But another two sources reported seeing demos from the Q* project that involved models solving math and science questions that would be beyond today's leading commercial AIs."

"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."