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Ano: 2023
Banca:
IMPARH
Órgão:
Prefeitura de Pedra Branca - CE
Prova:
IMPARH - 2023 - Prefeitura de Pedra Branca - CE - Professor de Inglês |
Q2330007
Inglês
Texto associado
After years of inattention, the whole world has just awaken to
what is happening in the Amazon. “Save the rain forest” is the
cry of conservationists, politicians, and rock stars. The
movement has already sparked a confrontation between rich
industrials nations, which are new converts to the
environmental cause, and the poorer nations of the Third World
which consider outside interference as an assault on their
sovereignty. Scientists think that destruction of the Amazon
could lead to climatic chaos. Because of the huge volume of
clouds it generates, the Amazon system plays a major role in the
way the sun’s heat is distributed around the globe. Any
disturbance of this process could produce unpredictable effects.
As an American Senator has just said: “The devastation is
unbelievable. It’s one of the great tragedies of all history”.
(Adapted from Playing with Fire, by Eugene Linden)
According to the text, the Amazon forest generates:
Ano: 2023
Banca:
FGV
Órgão:
Câmara dos Deputados
Prova:
FGV - 2023 - Câmara dos Deputados - Analista Legislativo - Informática Legislativa - Manhã |
Q2326035
Inglês
Texto associado
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
Ano: 2023
Banca:
FGV
Órgão:
Câmara dos Deputados
Prova:
FGV - 2023 - Câmara dos Deputados - Analista Legislativo - Informática Legislativa - Manhã |
Q2326034
Inglês
Texto associado
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
Ano: 2023
Banca:
FGV
Órgão:
Câmara dos Deputados
Prova:
FGV - 2023 - Câmara dos Deputados - Analista Legislativo - Informática Legislativa - Manhã |
Q2326033
Inglês
Texto associado
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
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
MRE
Prova:
CESPE / CEBRASPE - 2023 - MRE - Oficial de Chancelaria |
Q2324510
Inglês
Texto associado
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
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