Questões de Vestibular Comentadas sobre inglês
Foram encontradas 2.761 questões
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107431
Inglês
Texto associado
The term AI winter refers to a period of reduced funding
in the development of AI. In general, AI has followed a path on
which proponents overstate what is possible, inducing people
with no technology knowledge at all, but lots of money, to make
investments. A period of criticism then follows when AI fails to
meet expectations, and, finally, the reduction in funding occurs.
A number of these cycles have occurred over the years —
all of them devastating to true progress. AI is currently in a new
hype phase because of machine learning, a technology that helps
computers learn from data. Having a computer learn from data
means not depending on a human programmer to set operations
(tasks), but rather deriving them directly from examples that
show how the computer should behave. It’s like educating a baby
by showing it how to behave through example. Machine learning
has pitfalls because the computer can learn how to do things
incorrectly through careless teaching.
Scientists are working on machine learning algorithms,
each one from a different point of view. At this time, the most
successful solution is deep learning, which is a technology that
strives to imitate the human brain. Deep learning is possible
because of the availability of powerful computers, smarter
algorithms, large datasets produced by the digitalization of our
society, and huge investments from businesses such as Google,
Facebook, Amazon, and others that take advantage of this AI
renaissance for their own businesses.
People are saying that the AI winter is over because of
deep learning, and that’s true for now. However, when you look
around at the ways in which people are viewing AI, you can
easily figure out that another criticism phase will eventually
occur unless proponents tone the rhetoric down. AI can do
amazing things, but they’re a mundane sort of amazing.
John Paul Mueller and Luca Massaron. Artificial Intelligence For Dummies.
Hoboken (New Jersey): John Wiley & Sons, 2022
Judge the following items according to the previous text.
Because it does not depend on human programming, machine learning does not make mistakes.
Because it does not depend on human programming, machine learning does not make mistakes.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107430
Inglês
Texto associado
The term AI winter refers to a period of reduced funding
in the development of AI. In general, AI has followed a path on
which proponents overstate what is possible, inducing people
with no technology knowledge at all, but lots of money, to make
investments. A period of criticism then follows when AI fails to
meet expectations, and, finally, the reduction in funding occurs.
A number of these cycles have occurred over the years —
all of them devastating to true progress. AI is currently in a new
hype phase because of machine learning, a technology that helps
computers learn from data. Having a computer learn from data
means not depending on a human programmer to set operations
(tasks), but rather deriving them directly from examples that
show how the computer should behave. It’s like educating a baby
by showing it how to behave through example. Machine learning
has pitfalls because the computer can learn how to do things
incorrectly through careless teaching.
Scientists are working on machine learning algorithms,
each one from a different point of view. At this time, the most
successful solution is deep learning, which is a technology that
strives to imitate the human brain. Deep learning is possible
because of the availability of powerful computers, smarter
algorithms, large datasets produced by the digitalization of our
society, and huge investments from businesses such as Google,
Facebook, Amazon, and others that take advantage of this AI
renaissance for their own businesses.
People are saying that the AI winter is over because of
deep learning, and that’s true for now. However, when you look
around at the ways in which people are viewing AI, you can
easily figure out that another criticism phase will eventually
occur unless proponents tone the rhetoric down. AI can do
amazing things, but they’re a mundane sort of amazing.
John Paul Mueller and Luca Massaron. Artificial Intelligence For Dummies.
Hoboken (New Jersey): John Wiley & Sons, 2022
Judge the following items according to the previous text.
It can be inferred from the text that deep learning depends on a variety of factors, the most important of which being the investment from big businesses.
It can be inferred from the text that deep learning depends on a variety of factors, the most important of which being the investment from big businesses.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107429
Inglês
Texto associado
The term AI winter refers to a period of reduced funding
in the development of AI. In general, AI has followed a path on
which proponents overstate what is possible, inducing people
with no technology knowledge at all, but lots of money, to make
investments. A period of criticism then follows when AI fails to
meet expectations, and, finally, the reduction in funding occurs.
A number of these cycles have occurred over the years —
all of them devastating to true progress. AI is currently in a new
hype phase because of machine learning, a technology that helps
computers learn from data. Having a computer learn from data
means not depending on a human programmer to set operations
(tasks), but rather deriving them directly from examples that
show how the computer should behave. It’s like educating a baby
by showing it how to behave through example. Machine learning
has pitfalls because the computer can learn how to do things
incorrectly through careless teaching.
Scientists are working on machine learning algorithms,
each one from a different point of view. At this time, the most
successful solution is deep learning, which is a technology that
strives to imitate the human brain. Deep learning is possible
because of the availability of powerful computers, smarter
algorithms, large datasets produced by the digitalization of our
society, and huge investments from businesses such as Google,
Facebook, Amazon, and others that take advantage of this AI
renaissance for their own businesses.
People are saying that the AI winter is over because of
deep learning, and that’s true for now. However, when you look
around at the ways in which people are viewing AI, you can
easily figure out that another criticism phase will eventually
occur unless proponents tone the rhetoric down. AI can do
amazing things, but they’re a mundane sort of amazing.
John Paul Mueller and Luca Massaron. Artificial Intelligence For Dummies.
Hoboken (New Jersey): John Wiley & Sons, 2022
Judge the following items according to the previous text.
Wealthy people with no technology knowledge are told by proponents to invest in the development of AI because the latter truly believe it is a good investment.
Wealthy people with no technology knowledge are told by proponents to invest in the development of AI because the latter truly believe it is a good investment.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107428
Inglês
Texto associado
The term AI winter refers to a period of reduced funding
in the development of AI. In general, AI has followed a path on
which proponents overstate what is possible, inducing people
with no technology knowledge at all, but lots of money, to make
investments. A period of criticism then follows when AI fails to
meet expectations, and, finally, the reduction in funding occurs.
A number of these cycles have occurred over the years —
all of them devastating to true progress. AI is currently in a new
hype phase because of machine learning, a technology that helps
computers learn from data. Having a computer learn from data
means not depending on a human programmer to set operations
(tasks), but rather deriving them directly from examples that
show how the computer should behave. It’s like educating a baby
by showing it how to behave through example. Machine learning
has pitfalls because the computer can learn how to do things
incorrectly through careless teaching.
Scientists are working on machine learning algorithms,
each one from a different point of view. At this time, the most
successful solution is deep learning, which is a technology that
strives to imitate the human brain. Deep learning is possible
because of the availability of powerful computers, smarter
algorithms, large datasets produced by the digitalization of our
society, and huge investments from businesses such as Google,
Facebook, Amazon, and others that take advantage of this AI
renaissance for their own businesses.
People are saying that the AI winter is over because of
deep learning, and that’s true for now. However, when you look
around at the ways in which people are viewing AI, you can
easily figure out that another criticism phase will eventually
occur unless proponents tone the rhetoric down. AI can do
amazing things, but they’re a mundane sort of amazing.
John Paul Mueller and Luca Massaron. Artificial Intelligence For Dummies.
Hoboken (New Jersey): John Wiley & Sons, 2022
Judge the following items according to the previous text.
With the sentence “AI can do amazing things, but they’re a mundane sort of amazing”, the author indicates that he does not believe in everything AI proponents are saying AI can do.
With the sentence “AI can do amazing things, but they’re a mundane sort of amazing”, the author indicates that he does not believe in everything AI proponents are saying AI can do.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107427
Inglês
Texto associado
The idea that we might one day be able to construct some
artefact which has a mind in the same sense that we have minds
is not a new one. It has featured in entertaining and frightening
fictions since Mary Shelley first conceived of Frankenstein’s
monster.
In the classic science fiction of the early to mid-twentieth
century, this idea was generally cashed out in terms of
‘mechanical men’ or robots – from the Czech word robata, which
translates roughly as the feudal term corvée, a term which refers
to the unpaid labour provided to one’s liege lord.
In more modern fiction, the idea of a mechanical mind has
given way to the now commonplace notion of a computational
artificial intelligence. The possibility of actually developing
artificial intelligence, however, is not just a question of
sufficiently advanced technology. It is rather a philosophical
question.
Matt Carter. Minds and Computers: an introduction to the philosophy of artficial intelligence. Edinburgh: Edinburgh University Press, 2007 (adapted).
About the preceding text, judge the following item.
From the information given in the second paragraph of the text, it is correct to assume that the origins of the word “robots” had to do with the slavery system.
From the information given in the second paragraph of the text, it is correct to assume that the origins of the word “robots” had to do with the slavery system.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107426
Inglês
Texto associado
The idea that we might one day be able to construct some
artefact which has a mind in the same sense that we have minds
is not a new one. It has featured in entertaining and frightening
fictions since Mary Shelley first conceived of Frankenstein’s
monster.
In the classic science fiction of the early to mid-twentieth
century, this idea was generally cashed out in terms of
‘mechanical men’ or robots – from the Czech word robata, which
translates roughly as the feudal term corvée, a term which refers
to the unpaid labour provided to one’s liege lord.
In more modern fiction, the idea of a mechanical mind has
given way to the now commonplace notion of a computational
artificial intelligence. The possibility of actually developing
artificial intelligence, however, is not just a question of
sufficiently advanced technology. It is rather a philosophical
question.
Matt Carter. Minds and Computers: an introduction to the philosophy of artficial intelligence. Edinburgh: Edinburgh University Press, 2007 (adapted).
About the preceding text, judge the following item.
The author suggests that the philosophical question behind the development of AI plays a more central role in the AI related debate than the advanced technology it demands.
The author suggests that the philosophical question behind the development of AI plays a more central role in the AI related debate than the advanced technology it demands.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107425
Inglês
Texto associado
The idea that we might one day be able to construct some
artefact which has a mind in the same sense that we have minds
is not a new one. It has featured in entertaining and frightening
fictions since Mary Shelley first conceived of Frankenstein’s
monster.
In the classic science fiction of the early to mid-twentieth
century, this idea was generally cashed out in terms of
‘mechanical men’ or robots – from the Czech word robata, which
translates roughly as the feudal term corvée, a term which refers
to the unpaid labour provided to one’s liege lord.
In more modern fiction, the idea of a mechanical mind has
given way to the now commonplace notion of a computational
artificial intelligence. The possibility of actually developing
artificial intelligence, however, is not just a question of
sufficiently advanced technology. It is rather a philosophical
question.
Matt Carter. Minds and Computers: an introduction to the philosophy of artficial intelligence. Edinburgh: Edinburgh University Press, 2007 (adapted).
About the preceding text, judge the following item.
The text states that the idea of developing human-like minds in non-human artefacts has been part of fictional production for many decades.
The text states that the idea of developing human-like minds in non-human artefacts has been part of fictional production for many decades.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107424
Inglês
Texto associado
The idea that we might one day be able to construct some
artefact which has a mind in the same sense that we have minds
is not a new one. It has featured in entertaining and frightening
fictions since Mary Shelley first conceived of Frankenstein’s
monster.
In the classic science fiction of the early to mid-twentieth
century, this idea was generally cashed out in terms of
‘mechanical men’ or robots – from the Czech word robata, which
translates roughly as the feudal term corvée, a term which refers
to the unpaid labour provided to one’s liege lord.
In more modern fiction, the idea of a mechanical mind has
given way to the now commonplace notion of a computational
artificial intelligence. The possibility of actually developing
artificial intelligence, however, is not just a question of
sufficiently advanced technology. It is rather a philosophical
question.
Matt Carter. Minds and Computers: an introduction to the philosophy of artficial intelligence. Edinburgh: Edinburgh University Press, 2007 (adapted).
About the preceding text, judge the following item.
The first sentence of the first paragraph would still keep both its original meaning and its grammar correctness if the word “might” were replaced with can.
The first sentence of the first paragraph would still keep both its original meaning and its grammar correctness if the word “might” were replaced with can.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107423
Inglês
Texto associado
The idea that we might one day be able to construct some
artefact which has a mind in the same sense that we have minds
is not a new one. It has featured in entertaining and frightening
fictions since Mary Shelley first conceived of Frankenstein’s
monster.
In the classic science fiction of the early to mid-twentieth
century, this idea was generally cashed out in terms of
‘mechanical men’ or robots – from the Czech word robata, which
translates roughly as the feudal term corvée, a term which refers
to the unpaid labour provided to one’s liege lord.
In more modern fiction, the idea of a mechanical mind has
given way to the now commonplace notion of a computational
artificial intelligence. The possibility of actually developing
artificial intelligence, however, is not just a question of
sufficiently advanced technology. It is rather a philosophical
question.
Matt Carter. Minds and Computers: an introduction to the philosophy of artficial intelligence. Edinburgh: Edinburgh University Press, 2007 (adapted).
About the preceding text, judge the following item.
The word “It”, in the beginning of the second sentence of the text, refers to “some artifact which has a mind in the same sense that we have minds”.
The word “It”, in the beginning of the second sentence of the text, refers to “some artifact which has a mind in the same sense that we have minds”.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107422
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
According to the text, Elon Musk is someone who is afraid of robots, even though he is one of the leaders of technological innovation.
According to the text, Elon Musk is someone who is afraid of robots, even though he is one of the leaders of technological innovation.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107421
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
The last paragraph of the text states that Elon Musk was thinking of Mary Shelley when he declared scientists didn’t realize the ramifications of what they were doing.
The last paragraph of the text states that Elon Musk was thinking of Mary Shelley when he declared scientists didn’t realize the ramifications of what they were doing.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107419
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
According to the author of the text, Shelley’s novel should be mentioned in debates over AI because it proves things can go very wrong with new technologies.
According to the author of the text, Shelley’s novel should be mentioned in debates over AI because it proves things can go very wrong with new technologies.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107418
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
In the last sentence of the first paragraph, “awry” is used to indicate that Victor Frankenstein’s plan went well, as his creature was similar to a human being.
In the last sentence of the first paragraph, “awry” is used to indicate that Victor Frankenstein’s plan went well, as his creature was similar to a human being.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107417
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
According to the text, at the end of Mary Shelley’s novel, Doctor Frankenstein kills the monster he created.
According to the text, at the end of Mary Shelley’s novel, Doctor Frankenstein kills the monster he created.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107416
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
In the second sentence of the first paragraph, the excerpt “an ambition to penetrate the secrets of nature, heaven, and Earth” can be understood as an explanation for the “unrelenting ‘thirst of knowledge’” that drove Victor Frankenstein.
Ano: 2024
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COMVEST - UNICAMP
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UNICAMP
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COMVEST - UNICAMP - 2024 - UNICAMP - Vestibular |
Q3107204
Inglês
Leia o resumo de uma pesquisa que, em 2021, já alertava para
questões climáticas e fatores a elas relacionados.
Politics of attributing extreme events to climate change
Climate change shapes weather events. However, describing it as the cause of disasters can be misleading, since disasters are caused by pre-existing fragilities and inequalities on the ground. Attribution is not neutral. Hence, analytic frames that attribute disaster to climate can divert attention from place-based vulnerabilities and their sociopolitical causes. While politicians may blame climate change, the public may hold the government accountable for inadequate investments in flood or drought prevention. To be strategic and moral, framing choices must therefore be sensitive to context and to how the values implicit within analytic frames about the causes of disasters shape policy responses. Such sensitivity requires multicausal analysis of weather-linked disasters to reduce the damages. Through examples from around the world, especially Brazil, we discuss how and why climate-centric disaster framing can erase from view—and, thus, from policy agendas—the very socioeconomic and political factors that centrally cause vulnerability and suffering in weather extremes.
(Adaptado de https://wires.onlinelibrary.wiley.com/doi/full/10.1002/wcc.750. Acesso em 15/05/2024.)
Qual alternativa expressa corretamente os argumentos dos autores do texto?
Politics of attributing extreme events to climate change
Climate change shapes weather events. However, describing it as the cause of disasters can be misleading, since disasters are caused by pre-existing fragilities and inequalities on the ground. Attribution is not neutral. Hence, analytic frames that attribute disaster to climate can divert attention from place-based vulnerabilities and their sociopolitical causes. While politicians may blame climate change, the public may hold the government accountable for inadequate investments in flood or drought prevention. To be strategic and moral, framing choices must therefore be sensitive to context and to how the values implicit within analytic frames about the causes of disasters shape policy responses. Such sensitivity requires multicausal analysis of weather-linked disasters to reduce the damages. Through examples from around the world, especially Brazil, we discuss how and why climate-centric disaster framing can erase from view—and, thus, from policy agendas—the very socioeconomic and political factors that centrally cause vulnerability and suffering in weather extremes.
(Adaptado de https://wires.onlinelibrary.wiley.com/doi/full/10.1002/wcc.750. Acesso em 15/05/2024.)
Qual alternativa expressa corretamente os argumentos dos autores do texto?
Ano: 2024
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COMVEST - UNICAMP
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UNICAMP
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Q3107202
Inglês
Texto associado
Texto 1
The fact that so few African Americans write science fiction is
perplexing since they, in a very real sense, inhabit a sci-fi nightmare
in which unseen but no less palpable acts of intolerance frustrate
their movement; official histories undo what has been done;
and technology is too often brought to bear on black bodies.
Moreover, the sublegitimate status of science fiction in literature
mirrors the subaltern position to which blacks have been relegated
throughout American history. The notion of Afrofuturism gives
rise to a troubling antinomy: can a community whose past has
been deliberately rubbed out, and whose energies have been
consumed by the search for legible traces of its history, imagine
possible futures?
(Adaptado de DERY, M. Black to the future: interviews with Samuel R. Delany, Greg Tate,
and Tricia Rose. In: ___. (Ed.) The Discourse of cyberculture. Durham; London: Duke
University Press, p. 179-222, 1994.)
Texto 2
“Parable of the Talents” (Octavia E. Butler)
“To survive, Let the past Teach you-- Past customs, Struggles, Leaders and thinkers. Let These Help you. Let them inspire you, Warn you, Give you strength. But beware: God is Change. Past is past. What was Cannot Come again. To survive, know the past. Let it touch you. Then let The past Go.”
(BUTLER, Octavia E. Parable of the Talents. New York, Durham and London: Open Road, 1998.)
O texto 2 toca em um aspecto central do afrofuturismo e remete ao tema do questionamento do texto 1. Assim, pode-se dizer que o poema reconhece que
“Parable of the Talents” (Octavia E. Butler)
“To survive, Let the past Teach you-- Past customs, Struggles, Leaders and thinkers. Let These Help you. Let them inspire you, Warn you, Give you strength. But beware: God is Change. Past is past. What was Cannot Come again. To survive, know the past. Let it touch you. Then let The past Go.”
(BUTLER, Octavia E. Parable of the Talents. New York, Durham and London: Open Road, 1998.)
O texto 2 toca em um aspecto central do afrofuturismo e remete ao tema do questionamento do texto 1. Assim, pode-se dizer que o poema reconhece que
Ano: 2024
Banca:
COMVEST - UNICAMP
Órgão:
UNICAMP
Prova:
COMVEST - UNICAMP - 2024 - UNICAMP - Vestibular |
Q3107201
Inglês
Texto associado
Texto 1
The fact that so few African Americans write science fiction is
perplexing since they, in a very real sense, inhabit a sci-fi nightmare
in which unseen but no less palpable acts of intolerance frustrate
their movement; official histories undo what has been done;
and technology is too often brought to bear on black bodies.
Moreover, the sublegitimate status of science fiction in literature
mirrors the subaltern position to which blacks have been relegated
throughout American history. The notion of Afrofuturism gives
rise to a troubling antinomy: can a community whose past has
been deliberately rubbed out, and whose energies have been
consumed by the search for legible traces of its history, imagine
possible futures?
(Adaptado de DERY, M. Black to the future: interviews with Samuel R. Delany, Greg Tate,
and Tricia Rose. In: ___. (Ed.) The Discourse of cyberculture. Durham; London: Duke
University Press, p. 179-222, 1994.)
De acordo com o texto 1, a escassez de autores afro-americanos
em obras de ficção científica representa um
Ano: 2024
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Órgão:
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Prova:
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Q3107198
Inglês
Leia o texto a seguir.
Police under fire after threat to arrest
‘openly Jewish’ man near pro-Palestinian
protest
Scotland Yard criticised after suggesting Gideon Falter’s presence was ‘provocative’ and he was ‘antagonising’ protesters
(https://www.telegraph.co.uk/news/2024/04/19/. Acesso em 20/04/2024.)
Depreende-se, da leitura desse texto, que
Q3910178
Inglês
Leia o fragmento do texto a seguir.
Called doxy-PEP, the preventative treatment has instilled enough confidence that the Center for Disease Control and Prevention plans to roll out guidance later this summer to give doctors and public health departments a roadmap for how to offer it.
Com base nesse fragmento, assinale a alternativa que apresenta, corretamente, o sinônimo da palavra “instilled”.
Called doxy-PEP, the preventative treatment has instilled enough confidence that the Center for Disease Control and Prevention plans to roll out guidance later this summer to give doctors and public health departments a roadmap for how to offer it.
Com base nesse fragmento, assinale a alternativa que apresenta, corretamente, o sinônimo da palavra “instilled”.
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