12
어휘
2411-21 When we see something, we naturally and automatically break it up into shapes, colors, and concepts that we have learned through education. We recode what we see through the lens of ①
[everything / nothing] we know. We reconstruct memories ②
[in addition to / rather than] ③
[retrieving / forgeting] the video from memory. This is a useful trait. It's a more ④
[inefficient / efficient] way to store information ─ a bit like an optimal image compression algorithm such as JPG, rather than storing a ⑤
[raw / processed] bitmap image file. People who ⑥
[lack / support] this ability and remember everything in perfect detail ⑦
[succeed / struggle] to generalize, learn, and make connections between what they have learned. ⑧
[But / And] representing the world as ⑨
[abstract / concrete] ideas and features comes at a cost of seeing the world as it is. ⑩
[Indeed, / Instead,] we see the world through our assumptions, motivations, and past experiences. The discovery that our memories are reconstructed through abstract representations rather than played back like a movie completely undermined the ⑪
[illegal / legal] primacy of eyewitness testimony. Seeing is not believing.
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13
어휘
2411-22 In his Cornell laboratory, David Dunning conducted experimental tests of eyewitness testimony and found evidence that a ①
[careless / careful] deliberation of facial features and a detailed discussion of selection procedures can actually be a sign of an ②
[inaccurate / accurate] identification. It's when people find themselves ③
[unable / able] to explain why they recognize the person, saying things like "his face just popped out at me," that they tend to be ④
[accurate / inaccurate] more often. Sometimes our first, ⑤
[postponed / immediate], ⑥
[manual / automatic] reaction to a situation is the truest interpretation of what our mind is telling us. That very first impression can also be more accurate about the world than the deliberative, reasoned self-narrative can be. In his book Blink, Malcolm Gladwell describes a variety of studies in psychology and behavioral economics that demonstrate the superior performance of relatively ⑦
[unconscious / conscious] first guesses compared to ⑧
[logical / irrational] step-by-step ⑨
[complications / justifications] for a decision.
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14
어휘
2411-23 Many forms of research lead naturally to ①
[quantitative / qualitative] data. A study of happiness might measure the number of times someone smiles during an interaction, and a study of memory might measure the number of items an individual can ②
[remove / recall] after one, five, and ten minutes. Asking people how many times in a year they are sad will also ③
[yield / stand] quantitative data, but it might not be ④
[uncertain / reliable]. Respondents' recollections may be ⑤
[inaccurate / accurate], and their definitions of 'sad' could vary widely. ⑥
[But / And] asking "How many times in the past year were you sad enough to call in sick to work?" ⑦
[prompts / hinders] a ⑧
[concrete / abstract] answer. ⑨
[Finally / Similarly], instead of asking people to rate how ⑩
[bad / good] a procrastinator they are, ask, "How many of your utility bills are you currently late in paying, even though you can afford to pay them?" Questions that seek concrete responses help make ⑪
[abstract / concrete] concepts clearer and ensure ⑫
[inconsistency / consistency] from one study to the next.
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15
어휘
2411-24 The ①
[revolution / evolution] of AI is often associated with the concept of singularity. Singularity refers to the point at which AI ②
[exceeds / diminishes] human intelligence. After that point, it is ③
[prevented / predicted] that AI will repeatedly ④
[improve / worsen] itself and ⑤
[involve / evolve] at an ⑥
[decelerated / accelerated] pace. When AI becomes self-aware and pursues its own goals, it will be a ⑦
[unconscious / conscious] being, not just a machine. AI and human ⑧
[incognizance / consciousness] will then begin to evolve together. Our consciousness will evolve to new dimensions through our interactions with AI, which will provide us with intellectual ⑨
[stimulation / simulation] and inspire new insights and creativity. ⑩
[Likewise / Conversely], our consciousness also has a ⑪
[significant / insignificant] impact on the evolution of AI. The direction of AI's evolution will depend greatly on what values and ethics we ⑫
[corporate / incorporate] into AI. We need to see our relationship with AI as a ⑬
[mutual / individual] ⑭
[coexistence / existence] of conscious beings, recognizing its rights and supporting the evolution of its consciousness.
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16
어휘
2411-29 Digital technologies are essentially ①
[unrelated / related] to metaphors, but digital metaphors are ②
[difficult / different] from linguistic ones in important ways. Linguistic metaphors are ③
[active / passive], in the sense that the audience needs to choose to actively enter the world proposed by metaphor. In the Shakespearean metaphor "time is a beggar," the audience is ④
[unlikely / likely] to understand the metaphor ⑤
[without / with] cognitive effort and without further engaging Shakespeare's prose. Technological metaphors, ⑥
[on the other hand / in addition], are active (and often imposing) in the sense that they are realized in digital artifacts that are actively doing things, forcefully ⑦
[changing / maintaining] a user's meaning horizon. Technological creators cannot generally afford to require their potential audience to wonder how the metaphor works; normally the selling point is that the usefulness of the technology is ⑧
[doubtful / obvious] at first glance. Shakespeare, on the other hand, is beloved in part because the meaning of his works is not immediately obvious and requires some thought on the part of the audience.
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