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"Mark Zuckerberg's Meta is considering charging users in the EU €13 (£11) a month to access an ad-free version of Instagram or Facebook on their phones, as the company grapples with regulatory pressure on how it uses people's data. Meta is also weighing a €17 charge to use Instagram and Facebook without adverts on desktop, according to sources close to the discussions. Accessing both apps on smartphones would cost about €19 a month."

"It comes as a Guardian investigation reveals the human stories behind scams that originate on Meta's platforms, with a nationwide estimate released this week predicting the tech firm's failure to stamp out fraud will cost UK households £250m during 2023. With someone in the UK said to fall victim to a purchase scam starting on either Facebook or Instagram every seven minutes, the Guardian asked people who had been defrauded on these sites as well as its WhatsApp platform to get in touch. One Facebook user told us she was defrauded of her life savings and got pulled into debt, losing a total of £70,000, after being duped by an investment scam. While some people lost large amounts of money, a stream of unsuspecting online shoppers reported being conned out of smaller amounts when they placed orders with bogus online shops advertised on Facebook and Instagram."

"In this future, teachers assisted in marking and lesson planning by LLMs would be left with more much-needed time to focus on other elements of their work. However, in a bid to cut costs, the "teaching" of lessons could also be delegated to machines, robbing teachers and students of human interaction. "Of course, that will be for the less well-off students," Luckin says. "The more well-off students will still have lots of lovely one-to-one human interactions, alongside some very smartly integrated AI." Luckin instead advocates a future in which technology eases teachers' workloads but does not disrupt their pastoral care - or disproportionately affect students in poorer areas. "That human interaction is something to be cherished, not thrown out," she says."

"Researchers involved in a recent study trained an artificial intelligence (AI) model to diagnose type 2 diabetes in patients after six to 10 seconds of listening to their voice. Canadian medical researchers trained the machine-learning AI to recognise 14 vocal differences in the voice of someone with type 2 diabetes compared to someone without diabetes. The auditory features that the AI focussed on included slight changes in pitch and intensity, which human ears cannot distinguish. This was then paired with basic health data gathered by the researchers, such as age, sex, height and weight. Researchers believe that the AI model will drastically lower the cost for people with diabetes to be diagnosed."

"The January snow lay thick on the Moscow ground, as masked officers of the FSB - Russia's fearsome security agency - prepared to smash down the doors at one of 25 addresses they would raid that day. Their target was REvil, a shadowy conclave of hackers that claimed to have stolen more than $100m (£74m) a year through "ransomware" attacks, before suddenly disappearing. As group members were led away in cuffs, FSB officers gathered crypto-wallets containing untold volumes of digital currency such as bitcoin. Others used money-counting machines to tot up dozens of stacks of hundred dollar bills."

"My prediction failed. For a decade and a half, Facebook resisted the fate of all the social networks that preceded it. In hindsight, it's easy to see why: it cheated. The company used investor cash to buy and neutralize competitors ("Kids are leaving Facebook for Insta? Fine, we'll buy Insta. We know you value choice!"). It allegedly spied on users through the deceptive use of apps such as Onavo and exploited the intelligence to defeat rivals. More than anything, it ratcheted up "switching costs.""

"Do the potential paying customers for these large models add up to enough money to keep the servers on? That's the 13 trillion dollar question, and the answer is the difference between WorldCom and Enron, or dotcoms and cryptocurrency. Though I don't have a certain answer to this question, I am skeptical. AI decision support is potentially valuable to practitioners. Accountants might value an AI tool's ability to draft a tax return. Radiologists might value the AI's guess about whether an X-ray suggests a cancerous mass. But with AIs' tendency to "hallucinate" and confabulate, there's an increasing recognition that these AI judgments require a "human in the loop" to carefully review their judgments. In other words, an AI-supported radiologist should spend exactly the same amount of time considering your X-ray, and then see if the AI agrees with their judgment, and, if not, they should take a closer look. AI should make radiology more expensive, in order to make it more accurate. But that's not the AI business model. AI pitchmen are explicit on this score: The purpose of AI, the source of its value, is its capacity to increase productivity, which is to say, it should allow workers to do more, which will allow their bosses to fire some of them, or get each one to do more work in the same time, or both. The entire investor case for AI is "companies will buy our products so they can do more with less." It's not "business custom­ers will buy our products so their products will cost more to make, but will be of higher quality.""

"The tools - which aim to cut the time and cost of filtering mountains of job applications and drive workplace efficiency - are enticing to employers. But Schellmann concludes they are doing more harm than good. Not only are many of the hiring tools based on troubling pseudoscience (for example, the idea that the intonation of our voice can predict how successful we will be in a job doesn't stand up, says Schellmann), they can also discriminate."

"AI-generated voices are extremely convincing and can converse without the obvious repetitions and scripted lines, making a dream tool for fraudsters, marketers and political campaigns. The Federal Communications Commission sees the costs of all this coming and is banning their use in robocalls. "Bad actors are using AI-generated voices in unsolicited robocalls to extort vulnerable family members, imitate celebrities and misinform votes," said FCC Chairwoman Jessica Rosenworcel in a press release. "State attorneys general will now have new tools to crack down on these scams and ensure the public is protected from fraud and misinformation.""

"The alleged cybercriminals are thought to have carefully planned out an elaborate and hyper-targeted phishing scam that went after employees of large companies like MGM and Twilio. In fact, Scattered Spider's breach at MGM, which involved a phone call to the company's help desk, resulted in a temporary shut down of the company's hotel and casino operations, costing the company $100 million. The Scattered Spider plan of attack involved sending text messages to employees at the targeted companies while pretending to be part of their employer's IT department. The texts urged the employees to login to a link provided in the text message, otherwise, the text message claimed, their employee accounts would be deactivated."

"Cancer diagnosis and management depend upon the extraction of complex information from microscopy images by pathologists, which requires time-consuming expert interpretation prone to human bias. Supervised deep learning approaches have proven powerful, but are inherently limited by the cost and quality of annotations used for training. Therefore, we present Histomorphological Phenotype Learning, a self-supervised methodology requiring no labels and operating via the automatic discovery of discriminatory features in image tiles. Tiles are grouped into morphologically similar clusters which constitute an atlas of histomorphological phenotypes (HP-Atlas), revealing trajectories from benign to malignant tissue via inflammatory and reactive phenotypes. These clusters have distinct features which can be identified using orthogonal methods, linking histologic, molecular and clinical phenotypes. Applied to lung cancer, we show that they align closely with patient survival, with histopathologically recognised tumor types and growth patterns, and with transcriptomic measures of immunophenotype. These properties are maintained in a multi-cancer study."

"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."

"In the short term, generative AI will replace a lot of people because productivity increases while demand stays the same due to inertia. In the long term, the creation of new jobs compensates for the loss of old ones, resulting in a net positive outcome for humans who leave behind jobs no one wants to do. The most important aspect of any technological revolution is the transition from before to after. Timing and location matters: older people have a harder time reinventing themselves into a new trade or craft. Poor people and poor countries have less margin to react to a wave of unemployment. Digital automation is quicker and more aggressive than physical automation because it bypasses logistical constraints-while ChatGPT can be infinitely cloned, a metallic robot cannot. Writing and painting won't die because people care about the human factor first and foremost; there are already a lot of books we can't possibly read in one lifetime so we select them as a function of who's the author. Even if you hate OpenAI and ChatGPT for being responsible for the lack of job postings, I recommend you ally with them for now; learn to use ChatGPT before it's too late to keep your options open. Companies are choosing to reduce costs over increasing output because the sectors where generative AI is useful can't artificially increase demand in parallel to productivity. (Who needs more online content?) Our generation is reasonably angry at generative AI and will bravely fight it. Still, our offspring-and theirs-will be grateful for a transformed world whose painful transformation they didn't have to endure. Certifiable human-made creative output will reduce its quantity but multiply its value in the next years because demand specific for it will grow; automation can mimic 99% of what we do but never reaches 100%. The maxim "AI won't take your job, a person using AI will; yes, you using AI will replace yourself not using it" applies more in the long term than the

"From 2016 to 2020, the Australian government operated an automated debt assessment and recovery system, known as "Robodebt," to recover fraudulent or overpaid welfare benefits. The goal was to save $4.77 billion through debt recovery and reduced public service costs. However, the algorithm and policies at the heart of Robodebt caused wildly inaccurate assessments, and administrative burdens that disproportionately impacted those with the least resources. After a federal court ruled the policy unlawful, the government was forced to terminate Robodebt and agree to a $1.8 billion settlement."

Interesting article -what do you think should have happened?

"But there is another set of Facebook stories that shines even more glaring light on the company's mismatch of power and responsibility. A good place to start is Sri Lanka: one of many countries where "fake news" is not the slightly jokey notion regularly played up by Trump, but sometimes a matter of life and death."