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Q2328565 Inglês

INSTRUÇÃO: Leia o texto a seguir para responder à questão.  


What does the hurricane scale tell us?  


Hurricanes are categorized by their wind speeds on the Saffir-Simpson Hurricane Scale. The scale was first developed by Herb Saffir, a structural engineer, and Bob Simpson, a meteorologist.

Hurricanes are split into five categories based on the wind speeds they produce.

To be considered a “major” hurricane, according to the National Hurricane Center, a storm must reach Category 3 or above.

A hurricane’s strength matters because it helps meteorologists give residents in its path an idea of what type of damage is possible.

A Category 2 hurricane, for example, has the potential to cause major roof damage to homes, snap or uproot shallowly rooted trees, and knock out power in an area for days to weeks.

When a hurricane reaches Category 5 strength, the center can predict that “catastrophic damage will occur,” according to the Saffir-Simpson scale. Winds from a Category 5 hurricane can destroy homes, fell trees and power lines and possibly leave an area without power for weeks or months.

Because the hurricane category scale is based only on wind speeds, a number of factors are not considered.

“Wind is only one of four hazards, four primary hazards, associated with a tropical cyclone,” said Dr. Michael Brennan, the acting deputy director of the National Hurricane Center, using the broader term for a hurricane. “You can also have rainfall and flooding, storm surge, tornadoes, rip currents.”

Other hurricane-related dangers can occur after the storms have moved through an area.

When an affected area loses power, for example, many people often turn to portable generators to produce electricity. But when they are used improperly, they can lead to carbon monoxide poisoning.

And a weak Category 1 hurricane, or even a tropical storm, can still cause serious damage. A tropical storm can have wind speeds between 39 m.p.h. and 73 m.p.h. If the storm strengthens and produces winds up to 74 m.p.h., it becomes a Category 1 hurricane. 


Disponível em: https://www.nytimes.com/2023/08/29/climate/hurricane-categories-scale-saffir-simpson.html. Acesso em: 27 set. 2023. Adaptado.  
O furacão é um fenômeno atmosférico constituído por ventos giratórios que se deslocam em alta velocidade formado em regiões oceânicas, especialmente em zonas tropicais, constituídas por elevados níveis de umidade. De acordo com a reportagem, pode-se considerar:
Alternativas
Q2328564 Inglês

INSTRUÇÃO: Analise a campanha publicitária a seguir para responder à questão.  



Disponível em: https://www.canva.com/learn/clever-advertising/. Acesso em: 24 set. 2023.  

Ricola é uma marca suíça renomada por seus produtos dedicados ao cuidado da garganta, como balas e pastilhas para tosse. Fundada em 1930, a empresa ganhou destaque ao empregar ervas naturais, muitas delas cultivadas nos Alpes suíços, em suas fórmulas. Os produtos da Ricola são reconhecidos pelo seu sabor distintivo e pela garantia de proporcionar alívio suave e eficaz para irritações na garganta.
As aspas (“ ”), podem ser utilizadas na linguagem escrita para delimitar e destacar um trecho de texto que reproduz fielmente a fala ou expressão de uma pessoa. Nessa companha publicitária de pastilhas para a tosse da marca Ricola, a frase entre aspas é empregada para demarcar a citação direta da fala de um indivíduo. Qual é a intenção do autor ao incorporar a expressão “cough” no texto? 
Alternativas
Q2328563 Inglês

INSTRUÇÃO: Leia o texto a seguir para responder à questão.  


Brazil’s Supreme Court to vote on decriminalising abortion  

By Katy Watson 


Brazil’s Supreme Court has started voting on whether to decriminalise abortion. However, the session was quickly postponed after a minister called for the vote to take place in person instead of via video – and no new date has yet been set.  


Currently, abortion is only allowed in three cases: that of rape, risk to the woman's life and anencephaly – when the foetus has an undeveloped brain. 


If the Supreme Court votes in favour, abortion will be decriminalised up to 12 weeks of pregnancy. [...] 


Disponível em: https://www.bbc.com/news/world-latin-america-66881900. Acesso em: 25 set. 2023. Adaptado.  

As orações condicionais permitem explorar cenários hipotéticos e possíveis, pois possibilita analisar diferentes desdobramentos de uma situação, além de examinar as possíveis consequências de certas ações ou eventos. Considerando o trecho “If the Supreme Court votes in favour, abortion will be decriminalised up to 12 weeks of pregnancy.”, qual ideia o autor deseja expressar nele? 
Alternativas
Q2328562 Inglês
Convicted Brazilian fugitive captured, ending two-week manhunt in US
Harrisburg: A convicted murderer who escaped from a Pennsylvania jail has been captured with help from a heatsensing aircraft and a police dog, ending an intense, two-week manhunt that unnerved residents in the Philadelphia suburbs, authorities said.
Tactical teams surrounded the fugitive, Danelo Cavalcante, at around 8am in a rural area about 50 kilometres west of Philadelphia. As he tried to crawl away, a police dog subdued him and he was forcibly taken into custody, Pennsylvania State Police Lieutenant Colonel George Bivens said.
Cavalcante, who was armed with a rifle that he had stolen from a garage, was taken into custody without further incident. Bivens said he did not have the opportunity to use the firearm.
Cavalcante broke out of the Chester County Prison two weeks earlier by climbing between two walls that formed a narrow corridor in the jailhouse yard and scrambling onto the roof, according to police.
“It’s never easy to find someone who doesn’t want to be found in a large area,” Bivens said in response to a question about the extended manhunt during a Wednesday news briefing.

Disponível em: https://www.smh.com.au/world/north-america/fugitive-captured-ending-two-week-manhunt-in-us-20230914-p5e4im.html. Acesso em: 15 set. 2023. Adaptado.  


A seleção apropriada dos tempos verbais na redação assume um caráter crucial, visto que visa assegurar a clareza e a coesão do texto, fomentando assim a fluidez da leitura. Esse aspecto é de particular relevância em uma composição jornalística, em que se impõe a necessidade de determinar com exatidão a temporalidade das informações veiculadas, o que, por sua vez, confere credibilidade à reportagem, manifestando um zelo pelo rigor e precisão na exposição dos fatos.
Considerando as duas passagens negritadas no texto, o que indica a escolha das estruturas verbais nesses trechos destacados? 
Alternativas
Q2328561 Inglês

INSTRUÇÃO: Leia o texto a seguir para responder à questão 06.  


Convicted Brazilian fugitive captured, ending two-week manhunt in US  


Harrisburg: A convicted murderer who escaped from a Pennsylvania jail has been captured with help from a heat-sensing aircraft and a police dog, ending an intense, two-week manhunt that unnerved residents in the Philadelphia suburbs, authorities said. 


Tactical teams surrounded the fugitive, Danelo Cavalcante, at around 8am in a rural area about 50 kilometres west of Philadelphia. As he tried to crawl away, a police dog subdued him and he was forcibly taken into custody, Pennsylvania State Police Lieutenant Colonel George Bivens said. 


Cavalcante, who was armed with a rifle that he had stolen from a garage, was taken into custody without further incident. Bivens said he did not have the opportunity to use the firearm. 


Cavalcante broke out of the Chester County Prison two weeks earlier by climbing between two walls that formed a narrow corridor in the jailhouse yard and scrambling onto the roof, according to police. 


“It’s never easy to find someone who doesn’t want to be found in a large area,” Bivens said in response to a question about the extended manhunt during a Wednesday news briefing. 


Disponível em: https://www.smh.com.au/world/north-america/fugitive-captured-ending-two-week-manhunt-in-us-20230914-p5e4im.html. Acesso em: 15 set. 2023. Adaptado. 

Os filmes de Hollywood muitas vezes abordam uma ampla variedade de questões sociais por meio de suas narrativas, mas às vezes as próprias produções cinematográficas estadunidenses são criticadas pela insensibilidade a esses temas. Assinale a alternativa que apresenta a crítica apresentada no texto. 
Alternativas
Q2328560 Inglês

INSTRUÇÃO: Leia o texto a seguir para responder à questão. 




Disponível em: https://www.poetryfoundation.org/poems/44272/the-road-not-taken. Acesso em: 23 set. 2023.  

Robert Lee Frost foi um dos poetas mais influentes do século XX, nos Estados Unidos. Ele foi agraciado com quatro prêmios Pulitzer. A obra literária de Frost é vasta e diversificada, abrangendo desde sonetos até poemas em forma de diálogo. Seu poema “The Road Not Taken” aborda qual temática? 
Alternativas
Q2328559 Inglês

INSTRUÇÃO: O texto a seguir refere-se à questão. Leia-o atentamente. 



Disponível em: https://alidropship.com/funny-tweets-for-brand-engagement/. Acesso em: 23 set. 2023.  

Tanto o Wendy’s quanto o McDonald’s são redes de restaurantes de “fast food” que oferecem refeições preparadas rapidamente para consumo no local, para viagem ou por meio de serviços de entrega. Em 24 de novembro de 2017, a rede McDonald's realizou uma postagem na sua conta, em uma rede social, e foi prontamente respondida pela franquia concorrente, Wendy’s. Baseando-se na imagem, qual foi a intenção da rede Wendy’s? 

Alternativas
Q2328557 Inglês

INSTRUÇÃO: Leia o texto a seguir para responder à questão. 


The counteroffensive may be flagging, but Crimea attack shows Ukraine can still inflict serious damage on the Russian military


On Wednesday, a large plume of smoke rose from a naval base near Sevastopol. Local authorities played down the incident, saying that a number of drones were brought down. But the Ukrainian military says it successfully hit a Russian command post near Verkhniosadove, a few kilometers from Sevastopol.

The Institute for the Study of War (ISW) noted that satellite imagery confirmed that Ukrainian forces “struck the 744th Communications Center of the Command of the Black Sea FleetD as part of an apparent Ukrainian effort to target Black Sea Fleet facilities.”


Fonte: LISTER, T. Disponível em: https://edition.cnn.com/2023/09/22/europe/ukraine-crimea-russia-black-sea-intl-cmd/index.html. Acesso em: 23 set. 2023. Adaptado.

O texto aborda a guerra entre a Rússia e a Ucrânia, e, nele, o autor usa a expressão “played down”. Qual o sentido dessa expressão no contexto empregado? 
Alternativas
Q2326036 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
“as yet” in “there is as yet little evidence” (4th paragraph) can be replaced without significant change of meaning by
Alternativas
Q2326035 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
In the last sentence of the first paragraph, when the paper mentions an “upheaval”, it refers to the possibility of a future 
Alternativas
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
Q2326032 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
The adjective in “astonishing breakthroughs” (1st paragraph) is similar in meaning to 
Alternativas
Q2326031 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
The title of the article means to 
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
Q2326029 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/
The phrase “The crux of the debate” (3rd paragraph) is the same as the 
Alternativas
Q2326028 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/
In the first paragraph, the relation between the two sentences is one of
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
Q2324514 Inglês
Text 1A2-III


     In January 1948, before three pistol shots put an end to his life, Gandhi had been on the political stage for more than fifty years. He had inspired two generations of Indian patriots, shaken an empire and sparked off a revolution which was to change the face of Africa and Asia. To millions of his own people, he was the Mahatma — the great soul — whose sacred glimpse was a reward in itself.

       By the end of 1947 he had lived down much of the suspicion, ridicule and opposition which he had to face, when he first raised the banner of revolt against racial exclusiveness and imperial domination. His ideas, once dismissed as quaint and utopian, had begun to strike answering chords in some of the finest minds in the world. “Generations to come, it may be,” Einstein had said of Gandhi in July 1944, “will scarcely believe that such a one as this ever in flesh and blood walked upon earth.”

      Though his life had been a continual unfolding of an endless drama, Gandhi himself seemed the least dramatic of men. It would be difficult to imagine a man with fewer trappings of political eminence or with less of the popular image of a heroic figure. With his loin cloth, steel-rimmed glasses, rough sandals, a toothless smile and a voice which rarely rose above a whisper, he had a disarming humility. He was, if one were to use the famous words of the Buddha, a man who had “by rousing himself, by earnestness, by restraint and control, made for himself an island which no flood could overwhelm.”

        Gandhi’s deepest strivings were spiritual, but he did not — as had been the custom in his country — retire to a cave in the Himalayas to seek his salvation. He carried his cave within him. He did not know, he said, any religion apart from human activity; the spiritual law did not work in a vacuum, but expressed itself through the ordinary activities of life.

       This aspiration to relate the spirit of religion to the problems of everyday life runs like a thread through Gandhi’s career: his uneventful childhood, the slow unfolding and the near-failure of his youth, the reluctant plunge into the politics of Natal, the long unequal struggle in South Africa, and the vicissitudes of the Indian struggle for freedom, which under his leadership was to culminate in a triumph not untinged with tragedy.

B. R. Nanda. Gandhi: a pictorial biography, 1972 (adapted). 
The word “quaint” (second sentence of the second paragraph), in its use in text 1A2-III, means 
Alternativas
Q2324513 Inglês
Text 1A2-III


     In January 1948, before three pistol shots put an end to his life, Gandhi had been on the political stage for more than fifty years. He had inspired two generations of Indian patriots, shaken an empire and sparked off a revolution which was to change the face of Africa and Asia. To millions of his own people, he was the Mahatma — the great soul — whose sacred glimpse was a reward in itself.

       By the end of 1947 he had lived down much of the suspicion, ridicule and opposition which he had to face, when he first raised the banner of revolt against racial exclusiveness and imperial domination. His ideas, once dismissed as quaint and utopian, had begun to strike answering chords in some of the finest minds in the world. “Generations to come, it may be,” Einstein had said of Gandhi in July 1944, “will scarcely believe that such a one as this ever in flesh and blood walked upon earth.”

      Though his life had been a continual unfolding of an endless drama, Gandhi himself seemed the least dramatic of men. It would be difficult to imagine a man with fewer trappings of political eminence or with less of the popular image of a heroic figure. With his loin cloth, steel-rimmed glasses, rough sandals, a toothless smile and a voice which rarely rose above a whisper, he had a disarming humility. He was, if one were to use the famous words of the Buddha, a man who had “by rousing himself, by earnestness, by restraint and control, made for himself an island which no flood could overwhelm.”

        Gandhi’s deepest strivings were spiritual, but he did not — as had been the custom in his country — retire to a cave in the Himalayas to seek his salvation. He carried his cave within him. He did not know, he said, any religion apart from human activity; the spiritual law did not work in a vacuum, but expressed itself through the ordinary activities of life.

       This aspiration to relate the spirit of religion to the problems of everyday life runs like a thread through Gandhi’s career: his uneventful childhood, the slow unfolding and the near-failure of his youth, the reluctant plunge into the politics of Natal, the long unequal struggle in South Africa, and the vicissitudes of the Indian struggle for freedom, which under his leadership was to culminate in a triumph not untinged with tragedy.

B. R. Nanda. Gandhi: a pictorial biography, 1972 (adapted). 
The expression “lived down” (first sentence of the second paragraph of text 1A2-III) means 
Alternativas
Respostas
4481: E
4482: C
4483: D
4484: A
4485: E
4486: B
4487: C
4488: D
4489: C
4490: E
4491: D
4492: B
4493: D
4494: A
4495: E
4496: B
4497: A
4498: C
4499: D
4500: E