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Q2326034 Inglês
Read Text II and answer the question that follow it


Text II


Boy cries Wolf


     After astonishing breakthroughs in artificial intelligence, many people worry that they will end up on the economic scrapheap. Global Google searches for “is my job safe?” have doubled in recent months, as people fear that they will be replaced with large language models (LLMS). Some evidence suggests that widespread disruption is coming. In a recent paper Tyna Eloundou of OpenAI and colleagues say that “around 80% of the US workforce could have at least 10% of their work tasks affected by the introduction of LLMS”. Another paper suggests that legal services, accountancy and travel agencies will face unprecedented upheaval.


     Economists, however, tend to enjoy making predictions about automation more than they enjoy testing them. In the early 2010s many of them loudly predicted that robots would kill jobs by the millions, only to fall silent when employment rates across the rich world rose to all-time highs. Few of the doom-mongers have a good explanation for why countries with the highest rates of tech usage around the globe, such as Japan, Singapore and South Korea, consistently have among the lowest rates of unemployment.


     Here we introduce our first attempt at tracking AI’s impact on jobs. Using American data on employment by occupation, we single out white-collar workers. These include people working in everything from back-office support and financial operations to copy-writers. White-collar roles are thought to be especially vulnerable to generative AI, which is becoming ever better at logical reasoning and creativity.


     However, there is as yet little evidence of an AI hit to employment. In the spring of 2020 white-collar jobs rose as a share of the total, as many people in service occupations lost their job at the start of the covid-19 pandemic. The white-collar share is lower today, as leisure and hospitality have recovered. Yet in the past year the share of employment in professions supposedly at risk from generative AI has risen by half a percentage point.


     It is, of course, early days. Few firms yet use generative-AI tools at scale, so the impact on jobs could merely be delayed. Another possibility, however, is that these new technologies will end up destroying only a small number of roles. While AI may be efficient at some tasks, it may be less good at others, such as management and working out what others need.


     AI could even have a positive effect on jobs. If workers using it become more efficient, profits at their company could rise which would then allow bosses to ramp up hiring. A recent survey by Experis, an IT-recruitment firm, points to this possibility. More than half of Britain’s employers expect AI technologies to have a positive impact on their headcount over the next two years, it finds.


     To see how it all shakes out, we will publish updates to this analysis every few months. But for now, a jobs apocalypse seems a way off.


From The Economist June 17th 2023, p. 71
By calling some economists “doom-mongers” in “Few of the doom-mongers have a good explanation” (2nd paragraph), the authors
Alternativas
Q2326033 Inglês
Read Text II and answer the question that follow it


Text II


Boy cries Wolf


     After astonishing breakthroughs in artificial intelligence, many people worry that they will end up on the economic scrapheap. Global Google searches for “is my job safe?” have doubled in recent months, as people fear that they will be replaced with large language models (LLMS). Some evidence suggests that widespread disruption is coming. In a recent paper Tyna Eloundou of OpenAI and colleagues say that “around 80% of the US workforce could have at least 10% of their work tasks affected by the introduction of LLMS”. Another paper suggests that legal services, accountancy and travel agencies will face unprecedented upheaval.


     Economists, however, tend to enjoy making predictions about automation more than they enjoy testing them. In the early 2010s many of them loudly predicted that robots would kill jobs by the millions, only to fall silent when employment rates across the rich world rose to all-time highs. Few of the doom-mongers have a good explanation for why countries with the highest rates of tech usage around the globe, such as Japan, Singapore and South Korea, consistently have among the lowest rates of unemployment.


     Here we introduce our first attempt at tracking AI’s impact on jobs. Using American data on employment by occupation, we single out white-collar workers. These include people working in everything from back-office support and financial operations to copy-writers. White-collar roles are thought to be especially vulnerable to generative AI, which is becoming ever better at logical reasoning and creativity.


     However, there is as yet little evidence of an AI hit to employment. In the spring of 2020 white-collar jobs rose as a share of the total, as many people in service occupations lost their job at the start of the covid-19 pandemic. The white-collar share is lower today, as leisure and hospitality have recovered. Yet in the past year the share of employment in professions supposedly at risk from generative AI has risen by half a percentage point.


     It is, of course, early days. Few firms yet use generative-AI tools at scale, so the impact on jobs could merely be delayed. Another possibility, however, is that these new technologies will end up destroying only a small number of roles. While AI may be efficient at some tasks, it may be less good at others, such as management and working out what others need.


     AI could even have a positive effect on jobs. If workers using it become more efficient, profits at their company could rise which would then allow bosses to ramp up hiring. A recent survey by Experis, an IT-recruitment firm, points to this possibility. More than half of Britain’s employers expect AI technologies to have a positive impact on their headcount over the next two years, it finds.


     To see how it all shakes out, we will publish updates to this analysis every few months. But for now, a jobs apocalypse seems a way off.


From The Economist June 17th 2023, p. 71
If someone ends up “on the economic scrapheap” (1st paragraph), this person will feel
Alternativas
Q2324510 Inglês
Text 1A2-II


       I have often thought how interesting a magazine paper might be written by any author who would—that is to say, who could—detail, step by step, the processes by which any one of his compositions attained its ultimate point of completion. Why such a paper has never been given to the world, I am much at a loss to say—but, perhaps, the authorial vanity has had more to do with the omission than any one other cause. Most writers—poets in especial—prefer having it understood that they compose by a species of fine frenzy—an ecstatic intuition—and would positively shudder at letting the public take a peep behind the scenes, at the elaborate and vacillating crudities of thought—at the true purposes seized only at the last moment—at the innumerable glimpses of idea that arrived not at the maturity of full view—at the fully-matured fancies discarded in despair as unmanageable—at the cautious selections and rejections—at the painful erasures and interpolations—in a word, at the wheels and pinions—the tackle for scene-shifting—the step-ladders, and demon-traps—the cock’s feathers, the red paint and the black patches, which, in ninety-nine cases out of a hundred, constitute the properties of the literary histrio.

        I am aware, on the other hand, that the case is by no means common, in which an author is at all in condition to retrace the steps by which his conclusions have been attained. In general, suggestions, having arisen pell-mell are pursued and forgotten in a similar manner.

       For my own part, I have neither sympathy with the repugnance alluded to, nor, at any time, the least difficulty in recalling to mind the progressive steps of any of my compositions, and, since the interest of an analysis or reconstruction, such as I have considered a desideratum, is quite independent of any real or fancied interest in the thing analysed, it will not be regarded as a breach of decorum on my part to show the modus operandi by which some one of my own works was put together. I select The Raven as most generally known. It is my design to render it manifest that no one point in its composition is referable either to accident or intuition—that the work proceeded step by step, to its completion, with the precision and rigid consequence of a mathematical problem.

Edgar Allan Poe. The Philosophy of Composition, 1846 (adapted)
It can be inferred from the ideas of text 1A2-II that
Alternativas
Q2324509 Inglês
Text 1A2-II


       I have often thought how interesting a magazine paper might be written by any author who would—that is to say, who could—detail, step by step, the processes by which any one of his compositions attained its ultimate point of completion. Why such a paper has never been given to the world, I am much at a loss to say—but, perhaps, the authorial vanity has had more to do with the omission than any one other cause. Most writers—poets in especial—prefer having it understood that they compose by a species of fine frenzy—an ecstatic intuition—and would positively shudder at letting the public take a peep behind the scenes, at the elaborate and vacillating crudities of thought—at the true purposes seized only at the last moment—at the innumerable glimpses of idea that arrived not at the maturity of full view—at the fully-matured fancies discarded in despair as unmanageable—at the cautious selections and rejections—at the painful erasures and interpolations—in a word, at the wheels and pinions—the tackle for scene-shifting—the step-ladders, and demon-traps—the cock’s feathers, the red paint and the black patches, which, in ninety-nine cases out of a hundred, constitute the properties of the literary histrio.

        I am aware, on the other hand, that the case is by no means common, in which an author is at all in condition to retrace the steps by which his conclusions have been attained. In general, suggestions, having arisen pell-mell are pursued and forgotten in a similar manner.

       For my own part, I have neither sympathy with the repugnance alluded to, nor, at any time, the least difficulty in recalling to mind the progressive steps of any of my compositions, and, since the interest of an analysis or reconstruction, such as I have considered a desideratum, is quite independent of any real or fancied interest in the thing analysed, it will not be regarded as a breach of decorum on my part to show the modus operandi by which some one of my own works was put together. I select The Raven as most generally known. It is my design to render it manifest that no one point in its composition is referable either to accident or intuition—that the work proceeded step by step, to its completion, with the precision and rigid consequence of a mathematical problem.

Edgar Allan Poe. The Philosophy of Composition, 1846 (adapted)
According to Edgar Allan Poe’s point of view, portrayed in text 1A2-II, behind the scenes of writing,
Alternativas
Q2324506 Inglês
Text 1A2-I


       Languages are more to us than systems of thoughttransference. They are invisible garments that drape themselves about our spirit and give a predetermined form to all its symbolic expression. When the expression is of unusual significance, we call it literature. Art is so personal an expression that we do not like to feel that it is bound to predetermined form of any sort. The possibilities of individual expression are infinite, language in particular is the most fluid of mediums. Yet some limitation there must be to this freedom, some resistance of the medium.

       In great art there is the illusion of absolute freedom. The formal restraints imposed by the material are not perceived; it is as though there were a limitless margin of elbow room between the artist’s fullest utilization of form and the most that the material is innately capable of. The artist has intuitively surrendered to the inescapable tyranny of the material, made its brute nature fuse easily with his conception. The material “disappears” precisely because there is nothing in the artist’s conception to indicate that any other material exists. For the time being, he, and we with him, move in the artistic medium as a fish moves in the water, oblivious of the existence of an alien atmosphere. No sooner, however, does the artist transgress the law of his medium than we realize with a start that there is a medium to obey.

          Language is the medium of literature as marble or bronze or clay are the materials of the sculptor. Since every language has its distinctive peculiarities, the innate formal limitations—and possibilities—of one literature are never quite the same as those of another. The literature fashioned out of the form and substance of a language has the color and the texture of its matrix. The literary artist may never be conscious of just how he is hindered or helped or otherwise guided by the matrix, but when it is a question of translating his work into another language, the nature of the original matrix manifests itself at once. All his effects have been calculated, or intuitively felt, with reference to the formal “genius” of his own language; they cannot be carried over without loss or modification. Croce is therefore perfectly right in saying that a work of literary art can never be translated. Nevertheless, literature does get itself translated, sometimes with astonishing adequacy.


Edward Sapir. Language: an introduction to the study of speech. 1921 (adapted)
For the author of text 1A2-I,
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Respostas
266: D
267: B
268: B
269: A
270: B