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Read the following text and answer the questions.
Artificial Intelligence: The “lethal trifecta”
    LARGE LANGUAGE MODELS (LLMs), a trendy way of building artificial intelligence, have an inherent security problem: they cannot separate code from data. As a result, they are at risk of a type of attack called a prompt injection, in which they are tricked into following commands they should not. Sometimes the result is merely embarrassing, as when a customer-help agent is persuaded to talk like a pirate. On other occasions, it is far more damaging.
    The worst effects of this flaw are reserved for those who create what is known as the “lethal trifecta”. If a company, eager to offer a powerful AI assistant to its employees, gives an LLM access to untrusted data, the ability to read valuable secrets and the ability to communicate with the outside world at the same time, then trouble is sure to follow. And avoiding this is not just a matter for AI engineers. Ordinary users, too, need to learn how to use AI safely, because installing the wrong combination of apps can generate the trifecta accidentally. 
   Better AI engineering is, though, the first line of defence. And that means AI engineers need to start thinking like engineers, who build things like bridges and therefore know that shoddy work costs lives.
  The great works of Victorian England were erected by engineers who could not be sure of the properties of the materials they were using. In particular, whether by incompetence or malfeasance, the iron of the period was often not up to snuff. As a consequence, engineers erred on the side of caution, overbuilding to incorporate redundancy into their creations. The result was a series of centuries-spanning masterpieces.
   AI-security providers do not think like this. Conventional coding is a deterministic practice. Security vulnerabilities are seen as errors to be fixed, and when fixed, they go away. AI engineers, inculcated in this way of thinking from their schooldays, therefore often act as if problems can be solved just with more training data and more astute system prompts.
   These do, indeed, reduce risk. The cleverest frontier models are better at spotting and refusing malicious requests than their older or smaller cousins. But they cannot eliminate risk altogether. Unlike most software, LLMs are probabilistic. Their output is driven by random selection from likely responses. A deterministic approach to safety is thus inadequate. A better way forward is to copy engineers in the physical world and learn to work with, rather than against, capricious systems that can never be guaranteed to function as they should. That means becoming happier dealing with unpredictability by introducing safety margins, risk tolerance and error rates.
   Overbuilding in the AI age might, for instance, mean using a more powerful model than is needed for the task at hand, to reduce the risk it will be tricked into doing something inappropriate. It might mean imposing limits on the number of queries LLMs can take from external sources, calibrated to the risk of damage from a malicious query. And mechanical engineering emphasises failing safely. If an AI system must have access to secrets, then avoid handing it the keys to the kingdom.
   In the physical world, bridges have weight limits – even if they are not always stated clearly to drivers. And, importantly, these are well within the actual tolerances that calculations suggest a bridge will bear. The time has now come for the virtual world of AI systems to be similarly equipped.
Adapted from The Economist, September 27th, 2025, p. 10
The author compares AI and 19th century engineers to argue that the latter were
 

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Questão presente nas seguintes provas
Read the following text and answer the questions.
Artificial Intelligence: The “lethal trifecta”
    LARGE LANGUAGE MODELS (LLMs), a trendy way of building artificial intelligence, have an inherent security problem: they cannot separate code from data. As a result, they are at risk of a type of attack called a prompt injection, in which they are tricked into following commands they should not. Sometimes the result is merely embarrassing, as when a customer-help agent is persuaded to talk like a pirate. On other occasions, it is far more damaging.
    The worst effects of this flaw are reserved for those who create what is known as the “lethal trifecta”. If a company, eager to offer a powerful AI assistant to its employees, gives an LLM access to untrusted data, the ability to read valuable secrets and the ability to communicate with the outside world at the same time, then trouble is sure to follow. And avoiding this is not just a matter for AI engineers. Ordinary users, too, need to learn how to use AI safely, because installing the wrong combination of apps can generate the trifecta accidentally. 
   Better AI engineering is, though, the first line of defence. And that means AI engineers need to start thinking like engineers, who build things like bridges and therefore know that shoddy work costs lives.
  The great works of Victorian England were erected by engineers who could not be sure of the properties of the materials they were using. In particular, whether by incompetence or malfeasance, the iron of the period was often not up to snuff. As a consequence, engineers erred on the side of caution, overbuilding to incorporate redundancy into their creations. The result was a series of centuries-spanning masterpieces.
   AI-security providers do not think like this. Conventional coding is a deterministic practice. Security vulnerabilities are seen as errors to be fixed, and when fixed, they go away. AI engineers, inculcated in this way of thinking from their schooldays, therefore often act as if problems can be solved just with more training data and more astute system prompts.
   These do, indeed, reduce risk. The cleverest frontier models are better at spotting and refusing malicious requests than their older or smaller cousins. But they cannot eliminate risk altogether. Unlike most software, LLMs are probabilistic. Their output is driven by random selection from likely responses. A deterministic approach to safety is thus inadequate. A better way forward is to copy engineers in the physical world and learn to work with, rather than against, capricious systems that can never be guaranteed to function as they should. That means becoming happier dealing with unpredictability by introducing safety margins, risk tolerance and error rates.
   Overbuilding in the AI age might, for instance, mean using a more powerful model than is needed for the task at hand, to reduce the risk it will be tricked into doing something inappropriate. It might mean imposing limits on the number of queries LLMs can take from external sources, calibrated to the risk of damage from a malicious query. And mechanical engineering emphasises failing safely. If an AI system must have access to secrets, then avoid handing it the keys to the kingdom.
   In the physical world, bridges have weight limits – even if they are not always stated clearly to drivers. And, importantly, these are well within the actual tolerances that calculations suggest a bridge will bear. The time has now come for the virtual world of AI systems to be similarly equipped.
Adapted from The Economist, September 27th, 2025, p. 10

Based on the text, mark the statements below as true (T) or false (F).

I. AI models are watertight when it comes to safety risks.

II Bridges built in the Victorian Age were proven to be quite fragile.

III. A deterministic model does not deal with randomness.

The statements are, respectively,

 

Provas

Questão presente nas seguintes provas
3978059 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: FRONTE
Orgão: Pref. Pouso Redondo-SC
O uso correto das preposições IN, ON e AT costuma gerar dúvidas, mas segue regras específicas. Para dias da semana (ex: Monday, Friday), a preposição correta a ser utilizada é: 

"We have English classes _______ Tuesdays."
 

Provas

Questão presente nas seguintes provas
3978058 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: FRONTE
Orgão: Pref. Pouso Redondo-SC
Ao compararmos dois objetos ou pessoas utilizando adjetivos longos (com mais de duas sílabas), a regra gramatical exige o uso de uma estrutura específica. Escolha a opção que completa corretamente a comparação abaixo:

"This computer is _______ than that old one." (Adjective: expensive)
 

Provas

Questão presente nas seguintes provas
3978057 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: FRONTE
Orgão: Pref. Pouso Redondo-SC
No inglês, a distinção entre substantivos contáveis e incontáveis altera o uso dos quantificadores (quantifiers). Sabendo que a palavra "water" (água) é um substantivo incontável, qual a forma correta de perguntar a quantidade?
 

Provas

Questão presente nas seguintes provas
3978056 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: FRONTE
Orgão: Pref. Pouso Redondo-SC
O Simple Present é utilizado para descrever rotinas, fatos e verdades universais. De acordo com as regras gramaticais para a terceira pessoa do singular (He/She/It), assinale a alternativa que completa corretamente a frase a seguir:

"My brother _______ soccer every Saturday morning."
 

Provas

Questão presente nas seguintes provas
3978055 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: FRONTE
Orgão: Pref. Pouso Redondo-SC
No inglês, é essencial distinguir o uso de numerais cardinais (para quantidade) e ordinais (para ordem, posição e datas). Analise a frase a seguir e assinale a alternativa que completa corretamente a lacuna indicando a posição do sujeito: 

"This is the _______ time I visit Brazil."
 

Provas

Questão presente nas seguintes provas
3977924 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: IBAM
Orgão: Pref. Arapiraca-AL
Provas:

“This approach has transformed foreign language education by prioritizing fluency, interaction, and realworld communication over rote memorization and grammar drills. This method promotes student-centered learning, task-based instruction, and the use of authentic materials, making language acquisition more engaging and effective. However, despite its advantages, it faces several challenges, including limited emphasis on grammatical accuracy, difficulties in assessment, and resistance in non-native Englishspeaking contexts. Traditional grammar-based testing often fails to measure communicative competence, highlighting the need for more effective assessment models. Additionally, teacher preparedness and classroom management remain barriers to its full implementation, especially in large class settings and regions where traditional teaching methods dominate. Future developments in blended learning, adaptive teaching strategies, and AI-driven assessment tools could help bridge the gap between fluency and linguistic accuracy, ensuring that learners develop both communication skills and structural competence.”

Adapted from: https://egarp.lt/index.php/EGJLLE/article/view/147

The approach or method referred to in the text is the:

 

Provas

Questão presente nas seguintes provas
3977923 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: IBAM
Orgão: Pref. Arapiraca-AL
Provas:

“ESP draws on various disciplines, including education, linguistics, and communication, and emphasizes the importance of sociocultural competence—understanding how to use language appropriately within specific social and cultural contexts. Key methodologies in ESP include corpus linguistics, which utilizes large collections of texts to identify essential vocabulary and grammatical patterns relevant to specialized fields. Additionally, genre analysis helps learners recognize the structural elements of texts within their discourse communities, thereby aiding their ability to produce contextually appropriate written and spoken communication.

As globalization continues to increase the demand for specialized English training, ESP is evolving to address the unique linguistic needs of diverse professional environments, making it an increasingly popular and valuable area of study.”

Adapted from: https://www.ebsco.com/researchstarters/language- and-linguistics 



In the fragment of the text “Additionally, genre analysis helps learners recognize the structural elements of texts”, the adverb ADDITIONALLY could be replaced, with no change in meaning, by:

 

Provas

Questão presente nas seguintes provas
3977922 Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: IBAM
Orgão: Pref. Arapiraca-AL
Provas:

“ESP is a specialized branch of English language teaching focused on equipping learners with the language and communication skills necessary for specific academic or professional fields. This approach is particularly relevant in disciplines such as medicine, business, and science, where the language used can differ significantly from standard English in terms of grammar, vocabulary, and discourse. ESP courses are designed to be experiential and needs-driven, providing practical lessons that simulate realworld tasks professionals may encounter.”

Adapted from: https://www.ebsco.com/researchstarters/language- and-linguistics

ESP refers to:

 

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Questão presente nas seguintes provas