Magna Concursos

Foram encontradas 64 questões.

3761262 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: DIRENS Aeronáutica
Orgão: AFA

TEXT I

Alexa, What Is There to Know about Love?

Brian Bilston

Alexa, what is there to know about love?

What is there to know about love?

A glove is a garment that covers the hand

for protection from the cold or dirt and –

5

Alexa, how does a human heart work?

How does a human heart work?

Blood is first received in the right atrium via

two veins, the vena cava superior and inferior –

10

Alexa, where do we go to when we die?

Where do we go to when we die?

Activating Google Maps. Completed activation.

Would you like to start from your current location?

15

Alexa, what does it mean to be alone?

What does it mean to be alone?

It is the silence left by words unsaid,

the cold expanse of half a bed.

20 undefined It is the endless stretching of the hours,

the needless tending of plastic flowers.

It is an echo unanswered in a cave,

the fateful ping of the microwave.

It is the fraying of a worn shirt cuff,

25 undefined and the howl – Stop, Alexa. That’s enough.

Available on: https://brianbilston.com/2018/07/23/alexa-what-is-there-toknow-about-love/. Accessed on February 24th, 2025

TEXT II

AI won’t take your job if you know about IA

Intelligence augmentation shows that human + AI is an ideal partnership – and the future of white-collar work

The less exciting but more likely reality is that the

changes AI brings to the workplace will entail upskilling —

when workers learn new skills — not reskilling or complete

replacement. And upskilling is not about surrendering to AI

5 but instead about mastering intelligence augmentation, or

IA, which is what happens when humans and AI work

together to accomplish more as a team than either could

flying solo. That collaboration is based on the distinction

between two concepts: reckoning and judgment.

10

Reckoning vs. Judgment

A critical difference between AI and humans is our

primary mode of operation. AI operates through what is

15 often referred to as “reckoning,” such as calculative

prediction. By that, we mean AI’s true capabilities are

grounded in facts and historical knowledge - data that can

be calculated, memorized, and repeated. It makes

predictions based on what it knows.

20 By contrast, humans operate through judgment or

practical wisdom. We understand things AI can’t possibly

know. That’s because we humans have lived experiences

that continually inform how we see the world. It’s the

intangible factors, like ethical considerations and

25 empathetic responses, that make humans better equipped

than AI to make complex decisions about human affairs.

This practical wisdom is one reason humans must

keep creating new things for IA to advance. Imagine

what would happen if humans stopped writing original content.

30 The current model of AI could never pass a certain point

because it would never encounter new, innovative ideas.

Eventually, AI would run out of new ideas to share, and our

collective knowledge would stagnate. AI is like moonlight;

its ideas come from the reflected sunlight of human insights.

35 Now, it’s essential to recognize that this contrast

between AI and humans is nothing to fear. Instead, it shows

us why “human + AI” is an ideal work partnership. AI can

perform massive calculations in the blink of an eye at a pace

far superior to even the most intelligent human on the

40 planet. When paired with a human capable of making quick

decisions based on lived experience, judgment, and

practical wisdom, it’s an immensely more powerful tool than

it is on its own.

Adapted from MCCOOL, Chris Dede and David. AI Won’t Take Your Job if You Know About IA. Harvard Graduate School of Education. Available on: https://www.gse.harvard.edu/ideas/news/24/02/ai-wont-take-your-job-ifyou-know-about-ai. Accessed on March 10 th, 2025.

TEXT III

Enunciado 4549307-1

Good Tickle Brain. The A.I. Authorship Question. Available on: https://goodticklebrain. com/home/2023/3/31/the-ai-authorship-question. Accessed on March 20th, 2025.

Directions: Read texts I, II and III and answer question 44.

It is possible to say that

 

Provas

Questão presente nas seguintes provas
3761261 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: DIRENS Aeronáutica
Orgão: AFA

Directions: Read text III and answer questions 41 to 43.

TEXT III

Enunciado 4549306-1

Good Tickle Brain. The A.I. Authorship Question. Available on: https://goodticklebrain. com/home/2023/3/31/the-ai-authorship-question. Accessed on March 20th, 2025.

Regarding the implied future of creativity portrayed in the comics, it is possible to conclude that

 

Provas

Questão presente nas seguintes provas
3761260 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: DIRENS Aeronáutica
Orgão: AFA

Directions: Read text III and answer questions 41 to 43.

TEXT III

Enunciado 4549305-1

Good Tickle Brain. The A.I. Authorship Question. Available on: https://goodticklebrain. com/home/2023/3/31/the-ai-authorship-question. Accessed on March 20th, 2025.

The phrase “No more pesky original thought required!” (box 7) is used to

 

Provas

Questão presente nas seguintes provas
3761259 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: DIRENS Aeronáutica
Orgão: AFA

Directions: Read text III and answer questions 41 to 43.

TEXT III

Enunciado 4549304-1

Good Tickle Brain. The A.I. Authorship Question. Available on: https://goodticklebrain. com/home/2023/3/31/the-ai-authorship-question. Accessed on March 20th, 2025.

The verb tense in “I have been dealing with a lot of stressful stuff in my life.” (box 1)

 

Provas

Questão presente nas seguintes provas
3761258 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: DIRENS Aeronáutica
Orgão: AFA

Directions: Read text II and answer questions 37 to 40.

TEXT II

AI won’t take your job if you know about IA

Intelligence augmentation shows that human + AI is an ideal partnership – and the future of white-collar work

The less exciting but more likely reality is that the

changes AI brings to the workplace will entail upskilling —

when workers learn new skills — not reskilling or complete

replacement. And upskilling is not about surrendering to AI

5 but instead about mastering intelligence augmentation, or

IA, which is what happens when humans and AI work

together to accomplish more as a team than either could

flying solo. That collaboration is based on the distinction

between two concepts: reckoning and judgment.

10

Reckoning vs. Judgment

A critical difference between AI and humans is our

primary mode of operation. AI operates through what is

15 often referred to as “reckoning,” such as calculative

prediction. By that, we mean AI’s true capabilities are

grounded in facts and historical knowledge - data that can

be calculated, memorized, and repeated. It makes

predictions based on what it knows.

20 By contrast, humans operate through judgment or

practical wisdom. We understand things AI can’t possibly

know. That’s because we humans have lived experiences

that continually inform how we see the world. It’s the

intangible factors, like ethical considerations and

25 empathetic responses, that make humans better equipped

than AI to make complex decisions about human affairs.

This practical wisdom is one reason humans must

keep creating new things for IA to advance. Imagine

what would happen if humans stopped writing original content.

30 The current model of AI could never pass a certain point

because it would never encounter new, innovative ideas.

Eventually, AI would run out of new ideas to share, and our

collective knowledge would stagnate. AI is like moonlight;

its ideas come from the reflected sunlight of human insights.

35 Now, it’s essential to recognize that this contrast

between AI and humans is nothing to fear. Instead, it shows

us why “human + AI” is an ideal work partnership. AI can

perform massive calculations in the blink of an eye at a pace

far superior to even the most intelligent human on the

40 planet. When paired with a human capable of making quick

decisions based on lived experience, judgment, and

practical wisdom, it’s an immensely more powerful tool than

it is on its own.

Adapted from MCCOOL, Chris Dede and David. AI Won’t Take Your Job if You Know About IA. Harvard Graduate School of Education. Available on: https://www.gse.harvard.edu/ideas/news/24/02/ai-wont-take-your-job-ifyou-know-about-ai. Accessed on March 10 th, 2025.

Mark the option that is closest in meaning to the passage below: “Eventually, AI would run out of new ideas to share” (l. 32).

 

Provas

Questão presente nas seguintes provas
3761257 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: DIRENS Aeronáutica
Orgão: AFA

Directions: Read text II and answer questions 37 to 40.

TEXT II

AI won’t take your job if you know about IA

Intelligence augmentation shows that human + AI is an ideal partnership – and the future of white-collar work

The less exciting but more likely reality is that the

changes AI brings to the workplace will entail upskilling —

when workers learn new skills — not reskilling or complete

replacement. And upskilling is not about surrendering to AI

5 but instead about mastering intelligence augmentation, or

IA, which is what happens when humans and AI work

together to accomplish more as a team than either could

flying solo. That collaboration is based on the distinction

between two concepts: reckoning and judgment.

10

Reckoning vs. Judgment

A critical difference between AI and humans is our

primary mode of operation. AI operates through what is

15 often referred to as “reckoning,” such as calculative

prediction. By that, we mean AI’s true capabilities are

grounded in facts and historical knowledge - data that can

be calculated, memorized, and repeated. It makes

predictions based on what it knows.

20 By contrast, humans operate through judgment or

practical wisdom. We understand things AI can’t possibly

know. That’s because we humans have lived experiences

that continually inform how we see the world. It’s the

intangible factors, like ethical considerations and

25 empathetic responses, that make humans better equipped

than AI to make complex decisions about human affairs.

This practical wisdom is one reason humans must

keep creating new things for IA to advance. Imagine

what would happen if humans stopped writing original content.

30 The current model of AI could never pass a certain point

because it would never encounter new, innovative ideas.

Eventually, AI would run out of new ideas to share, and our

collective knowledge would stagnate. AI is like moonlight;

its ideas come from the reflected sunlight of human insights.

35 Now, it’s essential to recognize that this contrast

between AI and humans is nothing to fear. Instead, it shows

us why “human + AI” is an ideal work partnership. AI can

perform massive calculations in the blink of an eye at a pace

far superior to even the most intelligent human on the

40 planet. When paired with a human capable of making quick

decisions based on lived experience, judgment, and

practical wisdom, it’s an immensely more powerful tool than

it is on its own.

Adapted from MCCOOL, Chris Dede and David. AI Won’t Take Your Job if You Know About IA. Harvard Graduate School of Education. Available on: https://www.gse.harvard.edu/ideas/news/24/02/ai-wont-take-your-job-ifyou-know-about-ai. Accessed on March 10 th, 2025.

According to the text, the key gap between machine process of information and human insight is that the former

 

Provas

Questão presente nas seguintes provas
3761256 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: DIRENS Aeronáutica
Orgão: AFA

Directions: Read text II and answer questions 37 to 40.

TEXT II

AI won’t take your job if you know about IA

Intelligence augmentation shows that human + AI is an ideal partnership – and the future of white-collar work

The less exciting but more likely reality is that the

changes AI brings to the workplace will entail upskilling —

when workers learn new skills — not reskilling or complete

replacement. And upskilling is not about surrendering to AI

5 but instead about mastering intelligence augmentation, or

IA, which is what happens when humans and AI work

together to accomplish more as a team than either could

flying solo. That collaboration is based on the distinction

between two concepts: reckoning and judgment.

10

Reckoning vs. Judgment

A critical difference between AI and humans is our

primary mode of operation. AI operates through what is

15 often referred to as “reckoning,” such as calculative

prediction. By that, we mean AI’s true capabilities are

grounded in facts and historical knowledge - data that can

be calculated, memorized, and repeated. It makes

predictions based on what it knows.

20 By contrast, humans operate through judgment or

practical wisdom. We understand things AI can’t possibly

know. That’s because we humans have lived experiences

that continually inform how we see the world. It’s the

intangible factors, like ethical considerations and

25 empathetic responses, that make humans better equipped

than AI to make complex decisions about human affairs.

This practical wisdom is one reason humans must

keep creating new things for IA to advance. Imagine

what would happen if humans stopped writing original content.

30 The current model of AI could never pass a certain point

because it would never encounter new, innovative ideas.

Eventually, AI would run out of new ideas to share, and our

collective knowledge would stagnate. AI is like moonlight;

its ideas come from the reflected sunlight of human insights.

35 Now, it’s essential to recognize that this contrast

between AI and humans is nothing to fear. Instead, it shows

us why “human + AI” is an ideal work partnership. AI can

perform massive calculations in the blink of an eye at a pace

far superior to even the most intelligent human on the

40 planet. When paired with a human capable of making quick

decisions based on lived experience, judgment, and

practical wisdom, it’s an immensely more powerful tool than

it is on its own.

Adapted from MCCOOL, Chris Dede and David. AI Won’t Take Your Job if You Know About IA. Harvard Graduate School of Education. Available on: https://www.gse.harvard.edu/ideas/news/24/02/ai-wont-take-your-job-ifyou-know-about-ai. Accessed on March 10 th, 2025.

Without changing the meaning, the term “grounded” (l. 17) can be replaced by

 

Provas

Questão presente nas seguintes provas
3761255 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: DIRENS Aeronáutica
Orgão: AFA

Directions: Read text II and answer questions 37 to 40.

TEXT II

AI won’t take your job if you know about IA

Intelligence augmentation shows that human + AI is an ideal partnership – and the future of white-collar work

The less exciting but more likely reality is that the

changes AI brings to the workplace will entail upskilling —

when workers learn new skills — not reskilling or complete

replacement. And upskilling is not about surrendering to AI

5 but instead about mastering intelligence augmentation, or

IA, which is what happens when humans and AI work

together to accomplish more as a team than either could

flying solo. That collaboration is based on the distinction

between two concepts: reckoning and judgment.

10

Reckoning vs. Judgment

A critical difference between AI and humans is our

primary mode of operation. AI operates through what is

15 often referred to as “reckoning,” such as calculative

prediction. By that, we mean AI’s true capabilities are

grounded in facts and historical knowledge - data that can

be calculated, memorized, and repeated. It makes

predictions based on what it knows.

20 By contrast, humans operate through judgment or

practical wisdom. We understand things AI can’t possibly

know. That’s because we humans have lived experiences

that continually inform how we see the world. It’s the

intangible factors, like ethical considerations and

25 empathetic responses, that make humans better equipped

than AI to make complex decisions about human affairs.

This practical wisdom is one reason humans must

keep creating new things for IA to advance. Imagine

what would happen if humans stopped writing original content.

30 The current model of AI could never pass a certain point

because it would never encounter new, innovative ideas.

Eventually, AI would run out of new ideas to share, and our

collective knowledge would stagnate. AI is like moonlight;

its ideas come from the reflected sunlight of human insights.

35 Now, it’s essential to recognize that this contrast

between AI and humans is nothing to fear. Instead, it shows

us why “human + AI” is an ideal work partnership. AI can

perform massive calculations in the blink of an eye at a pace

far superior to even the most intelligent human on the

40 planet. When paired with a human capable of making quick

decisions based on lived experience, judgment, and

practical wisdom, it’s an immensely more powerful tool than

it is on its own.

Adapted from MCCOOL, Chris Dede and David. AI Won’t Take Your Job if You Know About IA. Harvard Graduate School of Education. Available on: https://www.gse.harvard.edu/ideas/news/24/02/ai-wont-take-your-job-ifyou-know-about-ai. Accessed on March 10 th, 2025.

The author’s distinction between “upskilling” and “reskilling” serves to

 

Provas

Questão presente nas seguintes provas
3761254 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: DIRENS Aeronáutica
Orgão: AFA

Directions: Read text I and answer questions 33 to 36.

TEXT I

Alexa, What Is There to Know about Love?

Brian Bilston

Alexa, what is there to know about love?

What is there to know about love?

A glove is a garment that covers the hand

for protection from the cold or dirt and –

5

Alexa, how does a human heart work?

How does a human heart work?

Blood is first received in the right atrium via

two veins, the vena cava superior and inferior –

10

Alexa, where do we go to when we die?

Where do we go to when we die?

Activating Google Maps. Completed activation.

Would you like to start from your current location?

15

Alexa, what does it mean to be alone?

What does it mean to be alone?

It is the silence left by words unsaid,

the cold expanse of half a bed.

20 It is the endless stretching of the hours,

the needless tending of plastic flowers.

It is an echo unanswered in a cave,

the fateful ping of the microwave.

It is the fraying of a worn shirt cuff,

25 and the howl – Stop, Alexa. That’s enough.

Available on: https://brianbilston.com/2018/07/23/alexa-what-is-there-toknow-about-love/. Accessed on February 24th, 2025

At the end of the text, the author interrupts Alexa because

 

Provas

Questão presente nas seguintes provas
3761253 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: DIRENS Aeronáutica
Orgão: AFA

Directions: Read text I and answer questions 33 to 36.

TEXT I

Alexa, What Is There to Know about Love?

Brian Bilston

Alexa, what is there to know about love?

What is there to know about love?

A glove is a garment that covers the hand

for protection from the cold or dirt and –

5

Alexa, how does a human heart work?

How does a human heart work?

Blood is first received in the right atrium via

two veins, the vena cava superior and inferior –

10

Alexa, where do we go to when we die?

Where do we go to when we die?

Activating Google Maps. Completed activation.

Would you like to start from your current location?

15

Alexa, what does it mean to be alone?

What does it mean to be alone?

It is the silence left by words unsaid,

the cold expanse of half a bed.

20 It is the endless stretching of the hours,

the needless tending of plastic flowers.

It is an echo unanswered in a cave,

the fateful ping of the microwave.

It is the fraying of a worn shirt cuff,

25 and the howl – Stop, Alexa. That’s enough.

Available on: https://brianbilston.com/2018/07/23/alexa-what-is-there-toknow-about-love/. Accessed on February 24th, 2025

Concerning the sentence “what is there to know about love?”, it’s correct to say that the author is

 

Provas

Questão presente nas seguintes provas