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"These ranged from the mundane (Facebook may change its terms of service at any time) to a reminder that Facebook may store and process your data anywhere in the world, meaning it might be subject to different data protection laws. When scanning license agreements from Google, Do Not Sign told me the company reserves the right to stop providing its services at any time and that its services are used at the users' sole risk."

"At that point, experts began taking a closer look at the document, now publicly available on the web. They discovered something else of interest: yellow dots in a roughly rectangular pattern repeated throughout the page. They were barely visible to the naked eye, but formed a coded design. After some quick analysis, they seemed to reveal the exact date and time that the pages in question were printed: 06:20 on 9 May, 2017 - at least, this is likely to be the time on the printer's internal clock at that moment. The dots also encode a serial number for the printer. "

"The images to be removed-as of posting time they are still accessible, with Google saying it may take some time to update-are user-submitted 360-degree views which allow visitors to Google Maps to virtually explore the monument on "foot"."

"That can include statistical or machine learning algorithms that rely on police records detailing the time, location, and nature of past crimes in a bid to predict if, when, where, and who may commit future infractions. In theory, this should help authorities use resources more wisely and spend more time policing certain neighborhoods that they think will yield higher crime rates."

"The app, called Care19, and produced by a company called ProudCrowd that also makes a location-based social networking app for North Dakota State sports fans, generates a random ID number for each person who uses it. Then, it can "anonymously cache the individual's locations throughout the day," storing information about where people spent at least 10 minutes at a time, according to the state website. If users test positive for the coronavirus, they can provide that information to the North Dakota Department of Health for contact-tracing purposes so that other people who spent time near virus patients can potentially be notified."

"As part of her undergraduate research, Alice Xue studied whether a machine could pass a Visual Turing Test by producing images that people cannot tell were made by a machine. Xue trained an algorithm using 2,192 traditional Chinese landscape paintings collected from art museums. The resulting AI-generated paintings were mistaken for being made by humans 55 per cent of the time."

"Some ideas include building mechanisms into devices or platforms that cause them to shut down automatically after two hours, or nudges that make it more difficult to keep spending money in an app. The problem is that tech companies are ruled by a profit model built on capturing more of our attention to sell to advertisers. Designing platforms so they limit the amount of time we spend on social media runs counter to this model."

"Similarly to how voice cloning raises fears about the consequences of its potential misuse, increasingly many people worry that the proliferation of AI technology will put professionals' livelihoods at risk. At Eleven, we see a future in which voice actors are able to license their voices to train speech models for specific use, in exchange for fees. Clients and studios will still gladly feature professional voice talent in their projects and using AI will simply contribute to faster turnaround times and greater freedom to experiment and establish direction in early development. The technology will change how spoken audio is designed and recorded but the fact that voice actors no longer need to be physically present for every session really gives them the freedom to be involved in more projects at any one time, as well as to truly immortalize their voices."

"There will be more where that came from. So it's time for a reality check. Quantum computers are interesting, but experience so far suggests they are exceedingly tricky to build and even harder to scale up. There are now about 50 working machines, most of them minuscule in terms of qubits. The biggest is one of IBM's, which has - wait for it - 433 qubits, which means scaling up to 20m qubits might, er, take a while. This will lead realists to conclude that RSA encryption is safe for the time being and critics to say that it's like nuclear fusion and artificial general intelligence - always 50 years in the future."

"The more technology helps make us more efficient, the more we are asked to be more efficient. We - our labour, our time, our data - is mined with increasing rapaciousness. Here's my thing with that Keynes essay. Sure, it looks like he was totally wrong about the future. We didn't end up with so much free time that we all went insane. But, then again, we've never actually tested his theory properly. We never just let the machines take over. Clearly, as we're (re)discovering, everyone finds that idea terrifying. I tend to agree. The idea of a completely A.I.-controlled world makes me uneasy. That said, the trend over the last 100 years - and even more since the dawn of this century - doesn't make me feel much better. What seems likelier to me than us all losing our jobs to A.I. is that the way in which we're already being replaced by machines continues is accelerated. That is, that we become ever more tied to the machines, ever more entwined with them. That our lives, bodies, and brains will become ever more machine-like."

"In a Copenhagen suburb, a fifth-grade classroom is having its weekly cake-eating session, a common tradition in Danish public schools. While the children are eating chocolate cake, the teacher pulls up an infographic on a whiteboard: a bar chart generated by a digital platform that collects data on how they've been feeling. Organized to display the classroom's weekly "mood landscape," the data shows that the class averaged a mood of 4.4 out of 5, and the children rated their family life highly. "That's great!" the teacher exclaims, raising two thumbs up in the air. She then moves to an infographic on sleep hygiene. Here the data shows the students struggling, and the teacher invites them to think of ways to improve their sleeping habits. After briefly talking among themselves, the children suggest "less screen time at night," "meditation before sleep," and "having a hot bath." They collectively make a commitment to implement these strategies. At next week's cake time, they will be asked whether or not they followed through."

"We submitted the grant on time. The next day, while speaking to a friend, I told him, "This week, I wrote my first ChatGPT grant." He replied that he had been doing it for months and that many other scientists are doing the same. A 2023 Nature survey of 1,600 researchers found that more than 25% use AI to help them write manuscripts and that more than 15% use the technology to help them write grant proposals. Some people might see the use of ChatGPT in writing grant proposals as cheating, but it actually highlights a much bigger problem: what is the point of asking scientists to write documents that can be easily created with AI? What value are we adding? Perhaps it is time for funding bodies to rethink their application processes."

"Some experts see platforms like Appen as a new form of data colonialism, says Saiph Savage, director of the Civic AI lab at Northeastern University. "Workers in Latin America are labeling images, and those labeled images are going to feed into AI that will be used in the Global North," she says. "While it might be creating new types of jobs, it's not completely clear how fulfilling these types of jobs are for the workers in the region." Due to the ever moving goal posts of AI, workers are in a constant race against the technology, says Schmidt. "One workforce is trained to three-dimensionally place bounding boxes around cars very precisely, and suddenly it's about figuring out if a large language model has given an appropriate answer," he says, regarding the industry's shift from self-driving cars to chatbots. Thus, niche labeling skills have a "very short half-life." "From the clients' perspective, the invisibility of the workers in microtasking is not a bug but a feature," says Schmidt. Economically, because the tasks are so small, it's more feasible to deal with contractors as a crowd instead of individuals. This creates an industry of irregular labor with no face-to-face resolution for disputes if, say, a client deems their answers inaccurate or wages are withheld. The workers WIRED spoke to say it's not low fees but the way platforms pay them that's the key issue. "I don't like the uncertainty of not knowing when an assignment will come out, as it forces us to be near the computer all day long," says Fuentes, who would like to see additional compensation for time spent waiting in front of her screen. Mutmain, 18, from Pakistan, who asked not to use his surname, echoes this. He says he joined Appen at 15, using a family member's ID, and works from 8 am to 6 pm, and another shift from 2 am to 6 am. "I need to stick to these platforms at all times, so that I don't lose work," he says, but he struggles to earn more than $50

"Sources familiar with how AI-based systems have been integrated into the IDF's operations said such tools had significantly sped up the target creation process. "We prepare the targets automatically and work according to a checklist," a source who previously worked in the target division told +972/Local Call. "It really is like a factory. We work quickly and there is no time to delve deep into the target. The view is that we are judged according to how many targets we manage to generate." A separate source told the publication the Gospel had allowed the IDF to run a "mass assassination factory" in which the "emphasis is on quantity and not on quality". A human eye, they said, "will go over the targets before each attack, but it need not spend a lot of time on them". For some experts who research AI and international humanitarian law, an acceleration of this kind raises a number of concerns."

"Why do some people get so upset, especially in an age where many people are taking digital detoxes for mental-health breaks, and others are busy juggling life tasks? People still communicate in different ways; some are constantly attached to their phones, while others want to disengage from them for chunks of time. But tensions over reply times may also come down to social norms - or the lack thereof. New developments in digital technology have outpaced the formulation of mutually agreed new communication paradigms, so when a text is sent, we're not all responding according to the same 'rules'."

"According to the website Lexica, which tracks over 10 million images and prompts generated by Stable Diffusion, Rutkowski's name has been used as a prompt around 93,000 times. Some of the world's most famous artists, such as Michelangelo, Pablo Picasso, and Leonardo da Vinci, brought up around 2,000 prompts each or less. Rutkowski's name also features as a prompt thousands of times in the Discord of another text-to-image generator, Midjourney. Rutkowski was initially surprised but thought it might be a good way to reach new audiences. Then he tried searching for his name to see if a piece he had worked on had been published. The online search brought back work that had his name attached to it but wasn't his. "It's been just a month. What about in a year? I probably won't be able to find my work out there because [the internet] will be flooded with AI art," Rutkowski says. "That's concerning.""

"But on the downside it has led to a loss of face-to-face contact, which can have negative consequences, particularly when it comes to education. What's more, there are also health impacts to consider. New scientific research indicates that spending large amounts of time in front of the computer, or other devices such as tablets and cell phones, can be harmful to our health. This is largely due to the blue light emitted by electronic devices, which expose us to light-emitting diodes (LEDs)."

"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.""

"At Amazon, some warehouse and delivery drivers complain that AI-driven bots have fired them without any human intervention whatsoever. At some companies, surveillance apps track how much time workers spend in trips to the bathroom, with some workers protesting that the time limits are too strict."

"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."