Questões de Inglês - Interpretação de texto | Reading comprehension para Concurso

Foram encontradas 6.243 questões

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
Q2326030 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
Based on Text II, mark the statements below as TRUE (T) or FALSE (F).

( ) Many believe AI will eventually make jobs redundant.
( ) The conclusion of the text is that the current outlook regarding employment is rather bleak.
( ) The authors prefer to probe forthcoming evidence before issuing unequivocal accounts.

The statements are, respectively,
Alternativas
Q2326027 Inglês
Read Text I and answer the question that follow it.


Text I



Generative Art – What’s real?


     There is nothing new about the concept and creation of ‘artificial intelligence art’ or ‘generative art’. However, discussion of its legal and ethical or societal implications (both intended and unintended) hit the headlines last week.


     Boris Eldagsen refused his Sony World Photography Award 2023 prize in the creative open category on the basis that his entry was the product of artificial intelligence. Mr Eldagsen himself has sparked the latest debate by claiming that “AI is not photography” and that the rationale for entering the Awards with the work in question was “…to find out if the competitions are prepared for AI images to enter. They are not”.


     The reaction of the World Photography Organisation (running the Sony Awards) has been to acknowledge the need for an element of human involvement, which is the crux of the debate: “While elements of AI practices are relevant in artistic contexts of image-making, the Awards always have been and will continue to be a platform for championing the excellence and skill of photographers and artists working in this medium”.


     […]


     The conventional (and long assumed) approach has been to recognise the importance of the human hand to an artwork. The question then is: to what extent is the human creator or inputter the ‘artist’ as opposed to the generative system or is the system merely representing the human creator or inputter’s artistic idea? Flowing from that question is what that might then mean in terms of the ownership and value of such works. The debate looks set to continue in this particular context of imagery creation and reproduction coinciding with the increasing availability and use of consumer-grade AI image generation programmes, and the natural inclination of artists to continue to create.


Adapted from https://www.rosenblatt-law.co.uk/insight/generative-art-whats-real/
Based on Text I, mark the statements below as true (T) or false (F).

( ) The dawning of generative art has given rise to a quandary.
( ) The winner mentioned was thrilled with the prize he was awarded.
( ) The organization responsible for the award stood by their earlier statement that AI yields finer art than that of humans.

The statements are, respectively,
Alternativas
Q2324511 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)
In text 1A2-II, Poe affirms that
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
Respostas
1341: B
1342: E
1343: C
1344: C
1345: B