The internet has spawned subtle forms of influence that can flip elections and manipulate everything we say, think and do ... Most of us have heard of at least one of these methods: subliminal stimulation, or what Packard called ‘subthreshold effects’ – the presentation of short messages that tell us what to do but that are flashed so briefly we aren’t aware we have seen them. In 1958, propelled by public concern about a theatre in New Jersey that had supposedly hidden messages in a movie to increase ice cream sales, the National Association of Broadcasters – the association that set standards for US television – amended its code to prohibit the use of subliminal messages in broadcasting. ... Subliminal stimulation is probably still in wide use in the US – it’s hard to detect, after all, and no one is keeping track of it – but it’s probably not worth worrying about. ... what would happen if new sources of control began to emerge that had little or no competition? And what if new means of control were developed that were far more powerful – and far more invisible – than any that have existed in the past? And what if new types of control allowed a handful of people to exert enormous influence not just over the citizens of the US but over most of the people on Earth? ... It might surprise you to hear this, but these things have already happened. ... The shift we had produced, which we called the Search Engine Manipulation Effect (or SEME, pronounced ‘seem’), appeared to be one of the largest behavioural effects ever discovered.

He bounces from smart locks, to smart lights, to a smart shower, to smart shoe insoles. It almost backfires when a Samsung representative demonstrating a smart refrigerator reaches out and flips his badge back over, asking, “What are you, press?” But his name doesn’t mean anything to her, and Pichai just casts an amused sideways glance and dives in with questions. “So, what can I ask the fridge?” he wants to know. Various versions of this same scene play out again and again. ... With $74.5 billion in annual revenue last year, Google is by far the largest (and only profitable) business under Alphabet. Indeed, Google has seven different products that more than a billion people use: Search, Gmail, YouTube, Android, Chrome, Maps, and its app and media vending machine, the Google Play Store. ... Google is sprinting to attract its “next billion” users. For the most part, these are people in the developing world; people who will go online, for the very first time, using one of Google’s Android-powered handsets. Which puts Google in the position of being seen as both a corporate NSA and modern East India Company. ... Android was, very literally, made for this moment. Its entire point is to be customized, reconfigured, and personalized for a world full of people across a range of sizes, shapes, configurations, and price points. Sure, signs for the $550 Nexus abound, but you can also score a cheap Android phone in Delhi, like a Lava Atom X, for less than $40 — and that’s without a contract. It will, Pichai thinks, change the status quo not just in India, but the entire world.

No matter where we work in the future, Nadella says, Microsoft will have a place in it. The company’s "conversation as a platform" offering, which it unveiled in March, represents a bet that chat-based interfaces will overtake apps as our primary way of using the internet: for finding information, for shopping, and for accessing a range of services. And apps will become smarter thanks to "cognitive APIs," made available by Microsoft, that let them understand faces, emotions, and other information contained in photos and videos. ... Microsoft argues that it has the best "brain," built on nearly two decades of advancements in machine learning and natural language processing, for delivering a future powered by artificial intelligence. It has a head start in building bots that resonate with users emotionally, thanks to an early experiment in China. And among the giants, Microsoft was first to release a true platform for text-based chat interfaces ... The company, as ever, talks a big game. Microsoft's historical instincts about where technology is going have been spot-on. But the company has a record of dropping the ball when it comes to acting on that instinct. It saw the promise in smartphones and tablets, for example, long before its peers. ... Xiaoice, which Microsoft introduced on the Chinese messaging app WeChat in 2014, can answer simple questions, just like Microsoft's virtual assistant Cortana. Where Xiaoice excels, though, is in conversation. The bot is programmed to be sensitive to emotions, and to remember your previous chats.

He's not the genius cranking out code, the analyst looking for the next big IPO, the hand-shaking CEO, or the wartime general turning a pile of intel into a plan. He's the guy who can talk to all of those people, understand them, and combine their strengths into a matrix none individually would have imagined. ... He didn't even have a particularly military bearing. While other guys pumped iron, the lithe little yoga dude they called Dr. Spaghetti Man was stretching and breathing on the wrestling mats, an Ivy Leaguer downward-dogging in a world of booyah. ... As a DARPA program manager, White could name his project. And the “thing” he wanted to make was a new breed of search engines, capable of mining the entirety of the Internet. ... White’s Memex project would be a portfolio approach. Some tools would dive into the dark Web and present all the hidden onion sites to be found there as a list, something previously considered too difficult to bother with. Others would index and sort the enormous flows of deep and dark Web online forums (which are otherwise unsearchable). Others would monitor social-media trends, connect photos, read handwritten information, or strip out data from Web pages and cross-index the results into data maps.

Yet the mystery of the mechanism is only partly solved. No one knows who made it, how many others like it were made, or where it was going when the ship carrying it sank. ... What if other objects like the Antikythera Mechanism have already been discovered and forgotten? There may well be documented evidence of such finds somewhere in the world, in the vast archives of human research, scholarly and otherwise, but simply no way to search for them. Until now. ... Scholars have long wrestled with “undiscovered public knowledge,” a problem that occurs when researchers arrive at conclusions independently from one another, creating fragments of understanding that are “logically related but never retrieved, brought together, [or] interpreted,” as Don Swanson wrote in an influential 1986 essay introducing the concept. ... In other words, on top of everything we don’t know, there’s everything we don’t know that we already know. ... Discovery in the online realm is powered by a mix of human curiosity and algorithmic inquiry, a dynamic that is reflected in the earliest language of the internet. The web was built to be explored not just by people, but by machines. As humans surf the web, they’re aided by algorithms doing the work beneath the surface, sequenced to monitor and rank an ever-swelling current of information for pluckable treasures. The search engine’s cultural status has evolved with the dramatic expansion of the web. ... Using machines to find meaning in vast sets of data has been one of the great promises of the computing age since long before the internet was built.

Consider the number of networked cameras that capture data about you as you go about your day. Surveillance cameras are mounted in offices, stores, public transportation; on city streets, ATM machines, and car dashboards. You or your neighbors may have installed cameras to watch over your front door; you may have a webcam watching over your valuables—perhaps even your children. Security cameras are virtually everywhere, installed both to provide a record if a crime is committed and to deter people from committing a crime in the first place. Based on an exhaustive survey of the number of such cameras in one English county in 2011, it was estimated there were 2 million surveillance cameras in the United Kingdom alone—about one camera for every thirty people. ... Generalizing this to the rest of the world, there are about 100 million cameras watching public spaces, all day and all night. Yet, this is only one-tenth of the 1 billion cameras on smartphones. Within the next few years, there will be one networked camera for every single person on the planet. ... If technology continues to follow Moore’s Law, doubling the computing power available at the same price every 18 months, we will very likely be sharing the world with roughly 1 trillion sensors by 2020, in line with projections from Bosch, HP, IBM, and others. ... If everything is recorded, will it encourage "better" behavior? And how will the lack of any recording be interpreted?