Search Queries In Quotes

Long ago we had passed the stage of asking what was the meaning of life, a naïve query which understands life as the attaining of some aim through the active creation of something of value.

Every country has its cocktail-party question. A simple one-sentence query, the answer to which unlocks a motherlode of information about the person you just met.... In Switzerland it is, Where are you from? That is all you need to know about someone.

Sometimes I would worry about my internet habits and force myself awy from the computer, to read a magazine or book. Contemporary literature offered no respite: I would find the prose cluttered with data points, tenuous historical connections, detail so finely tuned it could have only been extracted from a feverish night of search-engine queries. Aphorisms were in; authors were wired. I would pick up books that had been heavily documented on social media, only to find that the books themselves had a curatorial affect: beautiful descriptions of little substance, arranged in elegant vignettes—gestural text, the equivalent of a rumpled linen bedsheet or a bunch of dahlias placed just so. Oh, I would think, turning the page. This author is addicted to the internet, too.

Mr. O'Donnell was at the library counter, performing the sort of grim rituals librarians perform with index cards and stumpy pencils and those rubber stamps with columns of rotating numbers. "Ms. Auerbach! What will it be today? Camus? Cervantes?" "Actually I'm looking for a book of poetry by Emily Dickinson" He paused somberly, toying with the twirled tip of his mustache. No matter how seriously librarians are engaged in their work, they are always glad to be interrupted when the theme is books. It makes no difference to them how simple the search is or how behind on time either of you might be running - they consider all queries scrupulously. They love to have their knowledge tested. They lie in wait, they will not be rushed.

Long ago we had passed the stage of asking what was the meaning of life, a naïve query which understands life as the attaining of some aim through the active creation of something of value. For us, the meaning of life embraced the wider cycles of life and death, of suffering and of dying.

Google’s search algorithms, for example, return results better than anyone else’s. Proprietary technologies for extremely short page load times and highly accurate query autocompletion add to the core search product’s robustness and defensibility. It

asking what was the meaning of life, a naïve query which understands life as the attaining of some aim through the active creation of something of value. For us, the meaning of life embraced the wider cycles of life and death, of suffering and of dying.

For us, as prisoners, these thoughts were not speculations far removed from reality. They were the only thoughts that could be of help to us. They kept us from despair, even when there seemed to be no chance of coming out of it alive. Long ago we had passed the stage of asking what was the meaning of life, a naive query which understands life as the attaining of some aim through the active creation of something of value. For us, the meaning of life embraced the wider cycles of life and death, of suffering and of dying.

measured along five axes—speed (fast is always better than slow), accuracy (how relevant are the results to the user’s query?), ease of use (can everyone’s grandparents use Google?), comprehensiveness (are we searching the entire Internet?), and freshness (how fresh are the results?).

PRISM enabled the NSA to routinely collect data from Microsoft, Yahoo!, Google, Facebook, Paltalk, YouTube, Skype, AOL, and Apple, including email, photos, video and audio chats, Web-browsing content, search engine queries, and all other data stored on their clouds, transforming the companies into witting coconspirators.

On top of all that is the general complexity of life, complicating the search for clarity. Consider the question “What really happened?” say, in a failed marriage, divorce, and child-custody battle. The answer to that query is so complex that settling the disagreements frequently requires court evaluation and multi-party assessment

Here the query A320 returns algorithmic search results about the Airbus aircraft, together with advertisements for various non-aircraft goods numbered A320 that advertisers seek to market to those querying on this query. The lack of advertisements for the aircraft reflects the fact that few marketers attempt to sell A320 aircraft on the web.

Most of the messaging and chatting I did was in search of answers to questions I had about how to build my own computer, and the responses I received were so considered and thorough, so generous and kind, they’d be unthinkable today. My panicked query about why a certain chipset for which I’d saved up my allowance didn’t seem to be compatible with the motherboard I’d already gotten for Christmas would elicit a two-thousand-word explanation and note of advice from a professional tenured computer scientist on the other side of the country. Not cribbed from any manual, this response was composed expressly for me, to troubleshoot my problems step-by-step until I’d solved them. I was twelve years old, and my correspondent was an adult stranger far away, yet he treated me like an equal because I’d shown respect for the technology. I attribute this civility, so far removed from our current social-media sniping, to the high bar for entry at the time. After all, the only people on these boards were the people who could be there—who wanted to be there badly enough—who had the proficiency and passion, because the Internet of the 1990s wasn’t just one click away. It took significant effort just to log on.

No one has been able to aggregate more intention data on what consumers like than Google. Google not only sees you coming, but sees where you’re going. When homicide investigators arrive at a crime scene and there is a suspect—almost always the spouse—they check the suspect’s search history for suspicious Google queries (like “how to poison your husband”). I suspect we’re going to find that U.S. agencies have been mining Google to understand the intentions of more than some shopper thinking about detergent, but cells looking for fertilizer to build bombs. Google controls a massive amount of behavioral data. However, the individual identities of users have to be anonymized and, to the best of our knowledge, grouped. People are not comfortable with their name and picture next to a list of all the things they have typed into the Google query box. And for good reasons. Take a moment to imagine your picture and your name above everything you have typed into that Google search box. You’ve no doubt typed in some crazy shit that you would rather other people not know. So, Google has to aggregate this data, and can only say that people of this age or people of this cohort, on average, type in these sorts of things into their Google search box. Google still has a massive amount of data it can connect, if not to specific identities, to specific groups.

Even at that early date, the basic building blocks of web search had been already set in stone. Search was a four-step process. First came a sweeping scan of all the world’s web pages, via a spider. Second was indexing the information drawn from the spider’s crawl and storing the data on racks of computers known as servers. The third step, triggered by a user’s request, identified the pages that seemed best suited to answer that query. That result was known as search quality. The final step involved formatting and delivering the results to the user.

PRISM enabled the NSA to routinely collect data from Microsoft, Yahoo!, Google, Facebook, Paltalk, YouTube, Skype, AOL, and Apple, including email, photos, video and audio chats, Web-browsing content, search engine queries, and all other data stored on their clouds, transforming the companies into witting coconspirators. Upstream collection, meanwhile, was arguably even more invasive. It enabled the routine capturing of data directly from private-sector Internet infrastructure—the switches and routers that shunt Internet traffic worldwide, via the satellites in orbit and the high-capacity fiber-optic cables that run under the ocean.

Perhaps I have misjudged you, Christopher,” Erienne commented as he whirled her about in a wide sweep of the ballroom. “How so, my love?” He searched her face for some hint of her meaning. “You watch over me as closely as Stuart,” she stated and grew thoughtful. “Perhaps more so.” “I have not given up hope that you will someday become mine, madam, and I choose to safeguard against those who would take you from me.” “What of Stuart?” She raised a lovely brow as she awaited his answer. It was a long moment before he gave a reply. “In the ways of love, I do not consider Stuart as much a threat as an inconvenience.” “An inconvenience?” she queried. “I shall have to deal with him in time, and that will be the difficult part. I cannot dismiss the man without rousing your hatred again. ’Tis a most perplexing problem.” “You amaze me, Christopher.” Erienne shook her head, somewhat shocked by his casual disregard of her husband. “You truly amaze me.” “The feeling is mutual, my love.” His voice came as a soft caress and sent an eddy of sensations spiraling down through the core of her being. -Erienne & Christopher

Search engine query data is not the product of a designed statistical experiment and finding a way to meaningfully analyse such data and extract useful knowledge is a new and challenging field that would benefit from collaboration. For the 2012–13 flu season, Google made significant changes to its algorithms and started to use a relatively new mathematical technique called Elasticnet, which provides a rigorous means of selecting and reducing the number of predictors required. In 2011, Google launched a similar program for tracking Dengue fever, but they are no longer publishing predictions and, in 2015, Google Flu Trends was withdrawn. They are, however, now sharing their data with academic researchers... Google Flu Trends, one of the earlier attempts at using big data for epidemic prediction, provided useful insights to researchers who came after them... The Delphi Research Group at Carnegie Mellon University won the CDC’s challenge to ‘Predict the Flu’ in both 2014–15 and 2015–16 for the most accurate forecasters. The group successfully used data from Google, Twitter, and Wikipedia for monitoring flu outbreaks.

Tis obvious that you’re easily…” She paused, searching for a more sarcastic and descriptive word than “encouraged.” “Aroused?” he queried. Erienne gasped. “Certainly not!” “Have you changed your mind? You said at a twitch of a skirt…” “I know what I said!” “The subject seems to be on your mind quite a bit, my lady.” “I wonder why,” she retorted with unmistakable satire. It was impossible to ignore the manly feel of him against her. “Because you lust after my body?” he asked, feigning innocence. Erienne caught her breath in outrage. “I am a married woman, sir!” He heaved a laborious sigh. “Here we go again!” “Oh, you buffoon! Why don’t you leave me alone?” “Did I ask you to follow me?” he protested. She groaned aloud in frustration. “I’m sorry I did!” “Were you bruised?” He snuggled her closer against his body. “You feel all right to me.” “Christopher, if I weren’t so afraid of this horse, I’d slap you,” she threatened. “Why? I only inquired of your health.” “Because you make free with your hands! Now, stop that!” She threw away the hand that had settled on her thigh. “Don’t you ever get tired of playing the rake?” “The sport warms and excites me, madam,” he said, chuckling in her ear. -Erienne & Christopher

Specifically, the awareness that I claim is demonstrably non-computational is our understanding of the properties of natural numbers 0,1,2,3,4,....(One might even say that our concept of a natural number is, in a sense, a form of non-geometric 'visualization'.) We shall see in 2.5, by a readily accessible form of Godel's theorem (cf. response to query Q16), that this understanding is something that cannot be simulated computationally. From time to time one hears that some computer system has been 'trained' so as to 'understand' the concept of natural numbers. However, this cannot be true, as we shall see. It is our awareness of what a 'number' can actually mean that enables us to latch on to the correct concept. When we have this correct concept, we can-at least in principle-provide the correct answers to families of questions about numbers that are put to us, when no finite set of rules can do this. With only rules and no direct awareness, a computer-controlled robot (like Deep Thought) would be necessarily limited in ways in which we are not limited ourselves-although if we give the robot clever enough rules for its behaviour it may perform prodigious feats, some of which lie far beyond unaided human capabilities in specific narrowly enough defined areas, and it might be able to fool us, for some while, into thinking that it also possesses awareness.

At this point, the cautious reader might wish to read over the whole argument again, as presented above, just to make sure that I have not indulged in any 'sleight of hand'! Admittedly there is an air of the conjuring trick about the argument, but it is perfectly legitimate, and it only gains in strength the more minutely it is examined. We have found a computation Ck(k) that we know does not stop; yet the given computational procedure A is not powerful enough to ascertain that facet. This is the Godel(-Turing) theorem in the form that I require. It applies to any computational procedure A whatever for ascertaining that computations do not stop, so long as we know it to be sound. We deduce that no knowably sound set of computational rules (such as A) can ever suffice for ascertaining that computations do not stop, since there are some non-stopping computations (such as Ck(k)) that must elude these rules. Moreover, since from the knowledge of A and of its soundness, we can actually construct a computation Ck(k) that we can see does not ever stop, we deduce that A cannot be a formalization of the procedures available to mathematicians for ascertaining that computations do not stop, no matter what A is. Hence: (G) Human mathematicians are not using a knowably sound algorithm in order to ascertain mathematical truth. It seems to me that this conclusion is inescapable. However, many people have tried to argue against it-bringing in objections like those summarized in the queries Q1-Q20 of 2.6 and 2.10 below-and certainly many would argue against the stronger deduction that there must be something fundamentally non-computational in our thought processes. The reader may indeed wonder what on earth mathematical reasoning like this, concerning the abstract nature of computations, can have to say about the workings of the human mind. What, after all, does any of this have to do with the issue of conscious awareness? The answer is that the argument indeed says something very significant about the mental quality of understanding-in relation to the general issue of computation-and, as was argued in 1.12, the quality of understanding is something dependent upon conscious awareness. It is true that, for the most part, the foregoing reasoning has been presented as just a piece of mathematics, but there is the essential point that the algorithm A enters the argument at two quite different levels. At the one level, it is being treated as just some algorithm that has certain properties, but at the other, we attempt to regard A as being actually 'the algorithm that we ourselves use' in coming to believe that a computation will not stop. The argument is not simply about computations. It is also about how we use our conscious understanding in order to infer the validity of some mathematical claim-here the non-stopping character of Ck(k). It is the interplay between the two different levels at which the algorithm A is being considered-as a putative instance of conscious activity and as a computation itself-that allows us to arrive at a conclusion expressing a fundamental conflict between such conscious activity and mere computation.

The times when Google used to simply showed ten organic results seems like history. On a standard Google search, in fact, it is easy to get multimedia results directly in the SERP. Try googling “funny cats” and you will probably only have 3 or 4 links, together with a dozen of videos and images. According to several studies, last year Google responded with universal search results to more than 80% of queries, (mainly YouTube videos, images, and news).

Until a few years ago, booking a hotel online was a remarkably frustrating experience: once you chose the destination you had to browse through dozens of brand.com sites, search for rates, location, fill endless contact forms to, eventually, find out that the hotel you liked was fully booked. This process could take days, while today the same result can be achieved by simply applying a filter on TripAdvisor, with a much faster and less frustrating UX. Back in 2008, without a proper aggregator, the only possibility web users had was to search for very generic keywords on search engines. This explains why, only a decade ago, the query “Hotels in Paris” was at its peak of popularity, while today the same query produces only 1/4 of the original volume.

To grow its search platform in the late ’90s, Google focused on one thing: being great at search, which we measured along five axes—speed (fast is always better than slow), accuracy (how relevant are the results to the user’s query?), ease of use (can everyone’s grandparents use Google?), comprehensiveness (are we searching the entire Internet?), and freshness (how fresh are the results?).

And to query and search out all such, as live not as becomes the truth of the gospel, and yet do profess it, so that they all may walk in it, as well as talk of it; for none hath the heavenly comfort of it, but who do walk in it. For all the talkers of Christ and His gospel, that do not walk in him, dishonor Him.

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When you search Google, it grabs your query (the text you typed into the search bar) and looks through its index to find the webpages that are most relevant.

How might Google do this? The simplest way would be to just look for occurrences of a particular keyword, kind of like hitting Ctrl+F or Cmd+F to search a giant Word document. Indeed, this is how search engines in the 90’s used to work: they’d search for your query in their index and show the pages that had the most matches,[11] an attribute called keyword density.[12

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When we question, we are constrained by the topic at hand. Any queries that extend beyond that topic are deemed superfluous and therefore discouraged. Think of a lawyer chided by the judge for veering into “immaterial” lines of questioning, or a high school student reprimanded by her teacher for straying “off topic.” Wondering is open-ended, expansive. Wondering is what makes us human. That’s been true ever since the first caveman wondered what would happen if he rubbed two sticks together,

in addition to key words, each Google search query produces a wake of collateral data such as the number and pattern of search terms, how a query is phrased, spelling, punctuation, dwell times, click patterns, and location.

The increasing sophistication in representing world knowledge online also implies that asking the right questions will become more of a skill. A common error made among beginning searchers is to pose queries that have a built-in bias, a kind of leading question. A question that “leads the witness” wouldn’t be allowed in a courtroom and shouldn’t be in your research queries either. This is fairly common among K–12 students who don’t yet understand the basics of web search and often frame their questions with built-in assumptions. In cases like this, you need to know that the results are ordered by rank depending on the terms in the query. Take the following query: [is the average length of an octopus 25 inches?] It will give web links in the search results page that look right, but there’s an assumption within the query—that is, that octopuses actually are, on average, 25 inches in length. The web search results will be a bit misleading because there are so many positive hits that mention the terms “octopus” and “25 inches” on the same page. In this case, the search engine doesn’t really understand the question, but gives pages that best match the query, with its biases built in.

Users tend to use shorter search phrases, but these are gradually getting longer, especially for non-navigational queries.

What is the question I need to ask right now?" The answer to such a query, riddled with implications both subtle and profound, can elude detection like a nimble escape artist, leaving us wrestling with the shapeless void of uncertainty. Is it about love, career, or the perfect sandwich spread? Searching for that elusive question demands our wit, our courage, and our unyielding persuit of truth.

You think we let just anyone into our home? Into our lives? Trust them with our secrets? There have been women, but we have never, not ever, let them inside our circle. You? You’re right in the middle of it, Roxanne. If I wanted a quick lay, I would go out and get one, but I don’t.” “Then what do you want?” I query. “You, and all the attitude that comes with you. Even when you hate us, even when you attack us. Even when you’re a brat, I want you, princess, so don’t let him make you question that. Keep pushing, you’re going to have to be stronger than you have ever been to get through to him.” “Why do you want me to?” I question, searching his eyes. “Because I’m realising it’s all of us or none of us. I know Garrett wants you, wants what we’re building, but he doesn’t know how. His past is blinding him to what’s right in front of him. Rip open that wound, drag him out kicking and screaming, and make him yours the same way you have everyone else.” “Like you?” I ask, our lips almost touching. “Like me.” He grins against my mouth. “Don’t think you can start ordering me around though, love, or I’ll remind you exactly what happens.

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