🔐 Abrir TEXTO DE APOIO (material-base da questão)
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 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.
Reckoning vs. Judgment
A critical difference between AI and humans is our primary mode of operation. AI operates through what is 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.
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 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. 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.
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 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.
QUESTÃO
Without changing the meaning, the term “grounded” (. 17) can be replaced by
written.
gathered.
punished.
underpinned.
🔐 Abrir GABARITO
🔐 Abrir QUESTÃO COMENTADA (leitura guiada + pegadinhas)
🧭 Leitura orientada
A questão avalia equivalência semântica em contexto, exigindo a identificação de um sinônimo que preserve o sentido conceitual do termo no texto.
🔍 Análise da palavra em contexto
No trecho:
“AI’s true capabilities are grounded in facts and historical knowledge…”
O verbo grounded é usado metaforicamente, indicando que as capacidades da IA têm como base, fundamento ou sustentação dados factuais e conhecimento histórico.
🧠 Núcleo de sentido
✔ grounded in = based on / supported by.
✔ O termo não tem sentido literal de “aterrado” ou “punido”.
✔ O sinônimo deve manter o registro acadêmico-formal.
🔍 Análise alternativa por alternativa (com pegadinhas)
(A) ❌ Errada
Pegadinha: written não expressa ideia de base ou sustentação.
(B) ❌ Errada
Pegadinha: gathered significa “reunido”,
não “fundamentado”.
(C) ❌ Errada
Pegadinha: punished corresponde a outro sentido de grounded,
inexistente no contexto.
(D) ✅ Correta — GABARITO
Underpinned significa “fundamentado / sustentado por”,
mantendo exatamente o sentido de grounded no texto.
🧠 Resumo B3GE™ Master
✔ Questão de vocabulário contextual.
✔ Grounded in = baseado em / sustentado por.
✔ Sinônimo adequado: underpinned.
✔ Atenção a sentidos literais fora do contexto.
🔎 Gabarito confirmado: (D)