The word “like” in “bot-busting tools like Pangram are good at
spotting” (2nd paragraph) is used in the same way as in

Question

READ TEXT I AND ANSWER NEXT QUESTION.
TEXT I
AI is getting better at writing. Humans must get better at editing.
Writing is hard. For Franz Kafka, putting words on the page was a
process of “unending torments”. George Orwell said it felt like “a
long bout of some painful illness”. Hunter S. Thompson, a
journalist, saw it as the opposite of sex: “only good when it’s over”.
Now AI has come to the rescue. Large language models (LLMs)
eagerly offer reams of text without any pain or torment. Bots can
spew out emails (excellently), longer prose (passably) and poetry
(poorly). To them, writer’s block is a 500-sheet pack of paper: any
user of an LLM can produce as many words in a day as Kafka did in
his life.
For human writers this is a blessing and a curse. If you claim to be
an author but use AI, you look like a fraud—bot-busting tools like
Pangram are good at spotting when someone has had an AI
helping hand. […]
If LLMs keep improving, in a few years they could be as good as
professional wordsmiths. In the meantime, though, their baggy
prose puts a premium on editing skills. After all, even the best
writers need a good editor to keep them sharp. Editing is
something The Economist deals with day in, day out, so here are
our tips for rewriting AI prose.
First, commission well. George R.R. Martin once said the job of
editors is to “clip the wings” of writers, and “tell them in which
direction to fly”. When it comes to LLMs, that means giving clear
instructions about exactly what you want, and asking them to
refine their output as many times as necessary. You’ll get less
pushback from machines than men. Mr Martin said editors were
“the writer’s natural enemy”; AI would probably say “great
observation!” and “love the enemy analogy!” Second, pay attention to detail. AI writers will make mistakes and
offer phrases that sound good but mean nothing. They like to
lavish their prose with Latinate words, talking about the “bidirectional flow” and how to “expedite grid enhancements”;
remind them that Anglo-Saxon words are often punchier. They like
clichéd metaphors: there are lots of “Achilles’ heels”. And AI tends
to use the “rule of three” far more than humans. The Economist
also likes this rhetorical trick. But whereas we try to group three
sensible bits of advice, AI offers such redundant sentences as: “The
mystery has been solved—not partially, not ambiguously, but
definitively.” Such lines should be cut—definitively.
Finally, know your audience. The editor is an intermediary
between writer and reader. LLMs are sycophants and their
smarmy tone is often off-key. If you are writing an email to break
some bad news to your boss, tell your bot to skip the exclamation
marks. AI can be pretentious or pontificating (it was trained on
human writing, after all). Most people are short of time, but a
verbose AI pins you to the wall like a bore at a party.
“Write drunk, edit sober,” goes the old writers’ maxim. If that’s
right, when the AI-human team gets down to work, the AIs will
have all the fun.
Adapted from https://www.economist.com/leaders/2026/07/30/ai-is-gettingbetter-at-writing-humans-must-get-better-at-editing  The word “like” in “bot-busting tools like Pangram are good at
spotting” (2nd paragraph) is used in the same way as in  Alternativa A: AI writers like to indulge in words that come from Latin.   Ou Alternativa B: The likes of AI bots are changing the way humans write.  Ou Alternativa C: Some AI programs tend to use words like “leveraging”. Ou Alternativa D: Editors know what texts written by AI tools look like.  Ou Alternativa E: LLMs like to use predictable figurative expressions.

Qconcursos · Accepted Answer

Alternativa [C] Some AI programs tend to use words like “leveraging”. Gabarito: CFundamento decisivo: No enunciado, “like” apresenta Pangram como exemplo de ferramenta; a correta é a alternativa em que a palavra também introduz um exemplo.Tema central: Uso exemplificativo de likeAnálise das alternativasAErradaEm “like to indulge”, “like” é verbo e expressa gosto ou preferência: os escritores de IA gostam de empregar palavras provenientes do latim. Não há introdução de um exemplo, como ocorre em “tools like Pangram”.BErrada“The likes of AI bots” é uma construção nominal que se refere a seres ou coisas do tipo mencionado, neste caso, bots de IA. “Likes” integra a expressão “the likes of”; não funciona como a preposição que liga uma categoria a um exemplo no trecho-base.CCertaNa alternativa C, “words” indica a categoria, e “‘leveraging’” é uma palavra apresentada como exemplo dessa categoria. “Like” funciona como preposição com valor exemplificativo: “palavras como, por exemplo, ‘leveraging’”. A substituição por “such as” preserva esse sentido, assim como no trecho sobre Pangram.DErradaNa construção “what texts written by AI tools look like”, o sentido é saber como são ou que aspecto apresentam os textos escritos por ferramentas de IA. “Like” participa de “look like”, indicando aspecto ou características, e não introduz um exemplo de texto.EErradaEm “like to use”, “like” é verbo com sentido de gostar ou ter preferência: os LLMs gostam de usar expressões figurativas previsíveis. Diferentemente do trecho-base, a palavra expressa uma preferência, não uma relação de exemplificação.Pegadinha da questãoA repetição de “like” pode levar à escolha pela aparência da palavra. A questão exige distinguir seu uso no contexto: nem a expressão “the likes of” nem a construção “look like” reproduzem o valor exemplificativo pedido.Dica para questões semelhantesTeste a substituição por “such as”: se ela preservar a relação entre uma categoria e um exemplo, há evidência do uso exemplificativo.Verifique a construção completa em que “like” aparece. Identificar a classe gramatical ajuda, mas não basta: também é preciso conferir o sentido expresso no contexto.

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