To have a job without a workplace, you must build an office of the mind. Structure, routine, focus, socialization, networking, stress relief—their creation is almost entirely up to you, alone in a spare bedroom or on your couch, where your laptop might vie for attention at any given moment with your pets or kids. If the coffeepot runs dry, there is no one to blame but yourself.
The first time I undertook this construction process was in 2009, and it was an abject failure. I was nine months out of college and had already been laid off from my first full-time job, thanks to Wall Street’s evisceration of the American economy. A woman I knew only from an internet message board hired me to write blog posts for her fashion website, a stroke of luck that turned me nocturnal within six weeks. I lived like a 13-year-old on perpetual summer break—no gods, no masters, no parents, no bedtime. It took two years for me to meet my co-workers in person, and I often fantasized about eating lunch with a live human being or even just bumping into one on the way to the bathroom. What would it be like to have “work clothes” again? I had never expected to miss driving 45 minutes to sit at a desk in a makeshift office above a country-club pro shop, where, in my first full-time job, I’d done menial tasks in the marketing department.
Guadalajara is a metropolis in western Mexico and the capital of the state of Jalisco. According to the 2020 census, the city has a population of 1,385,629, while the Guadalajara metropolitan area has a population of 5,268,642, making it the third-largest metropolitan area in the country.Guadalajara has the second-highest population density in Mexico, with over 10,361 people per square kilometer. Guadalajara is an international center of business, finance, arts, and culture, as well as the economic center of the Bajío region, one of the most productive and developed regions in Latin America.
Northwest of Beijing’s Forbidden City, outside the Third Ring Road, the Chinese Academy of Sciences has spent seven decades building a campus of national laboratories. Near its center is the Institute of Automation, a sleek silvery-blue building surrounded by camera-studded poles. The institute is a basic research facility. Its computer scientists inquire into artificial intelligence’s fundamental mysteries. Their more practical innovations—iris recognition, cloud-based speech synthesis—are spun off to Chinese tech giants, AI start-ups, and, in some cases, the People’s Liberation Army.
I visited the institute on a rainy morning in the summer of 2019. China’s best and brightest were still shuffling in post-commute, dressed casually in basketball shorts or yoga pants, AirPods nestled in their ears. In my pocket, I had a burner phone; in my backpack, a computer wiped free of data—standard precautions for Western journalists in China. To visit China on sensitive business is to risk being barraged with cyberattacks and malware. In 2019, Belgian officials on a trade mission noticed that their mobile data were being intercepted by pop-up antennae outside their Beijing hotel.
.
Xi Jinping is using artificial intelligence to enhance his government’s totalitarian control—and he’s exporting this technology to regimes around the globe.
July 15 was, at first, just another day for Parag Agrawal, the chief technology officer of Twitter. Everything seemed normal on the service: T-Pain’s fans were defending him in a spat with Travis Scott; people were upset that the London Underground had removed artwork by Banksy. Agrawal set up in his home office in the Bay Area, in a room that he shares with his young son. He started to hammer away at his regular tasks—integrating deep learning into Twitter’s core algorithms, keeping everything running, and countering the constant streams of mis-, dis-, and malinformation on the platform.
But by mid-morning on the West Coast, distress signals were starting to filter through the organization. Someone was trying to phish employee credentials, and they were good at it. They were calling up consumer service and tech support personnel, instructing them to reset their passwords. Many employees passed the messages onto the security team and went back to business. But a few gullible ones—maybe four, maybe six, maybe eight—were more accommodating. They went to a dummy site controlled by the hackers and entered their credentials in a way that served up their usernames and passwords as well as multifactor authentication codes.
Shortly thereafter, several Twitter accounts with short handles—@drug, @xx, @vampire, and more—became compromised. So-called OG user names are valued among certain hacker communities the way that impressionist artwork is valued on the Upper East Side. Twitter knows this and views them internally as a high priority. Still, the problem didn’t filter up to Agrawal just yet. Twitter has a dedicated Detection and Response Team that triages security incidents. DART had detected suspicious activity, but the needed response was limited. When you run a sprawling social network, with hundreds of millions of users, ranging from obscure bots to the leader of the free world, this kind of thing happens all the time. You don’t need to constantly harangue the CTO.
.
The company says it has implemented new safeguards since the July 15 attack, but the upcoming election may challenge it like never before. Photographer: Jens Gyarmaty/Redux
Newport is a town, parish, community, electoral ward, and ancient port of Parrog, on the Pembrokeshire coast in West Wales at the mouth of the River Nevern (Welsh: Afon Nyfer) in the Pembrokeshire Coast National Park.
A popular tourist destination, Newport town straddles the Fishguard to Cardigan (A487) road, while the old port area hosts beach, water, and other activities.
The tell-tale signs may not jump out at you, but to Hany Farid, the image is littered with evidence – one of the reflections in the window is misaligned and the shadows do not line up.
This photograph is fake. One of the men was not there at all.
Research suggests that regardless of what you might think about your own abilities to spot a hoax, most of us are pretty bad at it. Farid, however, looks at photographs in a different way to most people. As a leading expert in digital forensics and image analysis, he scrutinizes them for the almost imperceptible signs that suggest an image has been manipulated.
One trick he has picked up over time is to check the points of light in people’s eyes. “If you have two people standing next to each other in a photograph, then we will often see the reflection of the light source (such as the Sun or a camera flash) in their eyes,” he explains. “The location, size, and color of this reflection tells us about the location, size, and color of the light source. If these properties of the light source are not consistent, then the photo may be a composite.”
Artificial intelligence owes a lot of its smarts to Judea Pearl. In the 1980s he led efforts that allowed machines to reason probabilistically. Now he’s one of the field’s sharpest critics. In his 2018 book, “The Book of Why: The New Science of Cause and Effect,” he argues that artificial intelligence has been handicapped by an incomplete understanding of what intelligence really is.
Three decades ago, a prime challenge in artificial intelligence research was to program machines to associate a potential cause to a set of observable conditions. Pearl figured out how to do that using a scheme called Bayesian networks. Bayesian networks made it practical for machines to say that, given a patient who returned from Africa with a fever and body aches, the most likely explanation was malaria. In 2011 Pearl won the Turing Award, computer science’s highest honor, in large part for this work.
But as Pearl sees it, the field of AI got mired in probabilistic associations. These days, headlines tout the latest breakthroughs in machine learning and neural networks. We read about computers that can master ancient games and drive cars. Pearl is underwhelmed. As he sees it, the state of the art in artificial intelligence today is merely a souped-up version of what machines could already do a generation ago: find hidden regularities in a large set of data. “All the impressive achievements of deep learning amount to just curve fitting,” he said recently.
Film and Writing Festival for Comedy. Showcasing best of comedy short films at the FEEDBACK Film Festival. Plus, showcasing best of comedy novels, short stories, poems, screenplays (TV, short, feature) at the festival performed by professional actors.
Asia Pietrzyk
Xi Jinping is using artificial intelligence to enhance his government’s totalitarian control—and he’s exporting this technology to regimes around the globe.
What’s fake?
James' World 2 