今天先读文章。所有语法、词汇、短语和发音都从这篇文章里学，不需要先读一页操作说明。
01 · Anchor passage
A teacher used an AI summary as a draft but checked every claim against the original article.
/ə ˈtit͡ʃɚ just ən eɪ aɪ ˈsʌmɚi æz ə dɹæft bʌt t͡ʃɛkt ˈɛvɹi kleɪm əˈɡɛnst ðə ɚˈɪd͡ʒənəl ˈɑɹtɪkəl./
一位老师使用人工智能摘要作为草稿，但对照原始文章检查了每项主张。
A teacher used an — 保留结构，替换真实细节。At first, this looked like a small decision about artificial intelligence, but its result soon became visible.
/æt fɚst, ðɪs lʊkt laɪk ə smɔl dɪˈsɪʒən əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns, bʌt ɪts ɹɪˈzʌlt sun bɪˈkeɪm ˈvɪzɪbəl./
起初，这看起来像是一个关于人工智能的小决定，但其结果很快就变得可见。
result — 保留结构，替换真实细节。The case raises a broader question: how automated systems create value and new responsibilities.
/ðə keɪs ˈɹeɪzɪz ə ˈbɹɔdɚ ˈkwɛst͡ʃən: haʊ ˈɔtoʊˌmeɪtɪd ˈsɪstəmz kɹiˈeɪt ˈvælju ænd nju ɹiˌspɑnsɪˈbɪlətiz./
该案提出了一个更广泛的问题：自动化系统如何创造价值和新的责任。
question — 保留结构，替换真实细节。Careful evaluation of artificial intelligence can improve the allocation of limited resources.
/ˈkɛɹfəl ɪˌvæljuˈeɪʃən əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns kən ɪmˈpɹuv ðə ˌæləˈkeɪʃən əv ˈlɪmɪtɪd ˈɹisɔɹsɪz./
仔细评估人工智能可以改善有限资源的配置。
Careful evaluation of artificial — 保留结构，替换真实细节。The example draws attention to a learning algorithm, which can shape how people respond to artificial intelligence.
/ðə ɪɡˈzæmpəl dɹɔz əˈtɛnʃən tə ə ˈlɚnɪŋ ˈælɡɚˌɪðəm, wɪt͡ʃ kən ʃeɪp haʊ ˈpipəl ɹɪˈspɑnd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
这个例子提请注意一种学习算法，它可以决定人们如何响应人工智能。
learning algorithm — 保留结构，替换真实细节。A closer look at a workplace automation reveals a practical side of artificial intelligence that general opinions often miss.
/ə ˈkloʊsɚ lʊk æt ə ˈwɚkˌpleɪs ɔtoʊˈmeɪʃən ɹɪˈvilz ə ˈpɹæktɪkəl saɪd əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ðæt ˈd͡ʒɛnɚəl əˈpɪnjənz ˈɔftən mɪs./
仔细观察工作场所自动化，可以发现一般观点经常忽视的人工智能实用的一面。
workplace automation — 保留结构，替换真实细节。A useful question about artificial intelligence focuses on what happened, why it matters, and what should happen next.
/ə ˈjusfəl ˈkwɛst͡ʃən əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ˈfoʊkəsɪz ɔn wʌt ˈhæpənd, waɪ ɪt ˈmætɚz, ænd wʌt ʃʊd ˈhæpən nɛkst./
关于人工智能的一个有用的问题集中在发生了什么、为什么重要以及接下来应该发生什么。
question — 保留结构，替换真实细节。A concrete example of artificial intelligence makes the central idea easier to understand and evaluate.
/ə ˈkɑŋkɹit ɪɡˈzæmpəl əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns meɪks ðə ˈsɛntɹəl aɪˈdiə ˈiziɚ tə ˌʌndɚˈstænd ænd ɪˈvæljuˌeɪt./
人工智能的具体例子使中心思想更容易理解和评估。
example — 保留结构，替换真实细节。The meaning of artificial intelligence becomes clearer when people connect it to a real experience.
/ðə ˈminɪŋ əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns bɪˈkʌmz ˈklɪɹɚ wɛn ˈpipəl kəˈnɛkt ɪt tə ə ɹil ɪkˈspɪɹiəns./
当人们将人工智能与真实的经验联系起来时，人工智能的意义就变得更加明确。
meaning — 保留结构，替换真实细节。People can describe an experience when a real situation involving artificial intelligence requires action.
/ˈpipəl kən dɪˈskɹaɪb ən ɪkˈspɪɹiəns wɛn ə ɹil ˌsɪt͡ʃuˈeɪʃən ɪnˈvɑlvɪŋ ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ɹiˈkwaɪɚz ˈækʃən./
当涉及人工智能的真实情况需要采取行动时，人们可以描述一种体验。
describe an experience — 保留结构，替换真实细节。People can compare two responses to artificial intelligence only when they use the same criteria.
/ˈpipəl kən kəmˈpɛɹ tu ɹɪˈspɑnsɪz tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ˈoʊnli wɛn ðeɪ juz ðə seɪm kɹaɪˈtɪɹiə./
人们只有使用相同的标准才能比较两种对人工智能的反应。
compare — 保留结构，替换真实细节。The immediate effect of artificial intelligence may be easy to see, while the longer-term effect is often less obvious.
/ðə ɪˈmidiɪt ɪˈfɛkt əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns meɪ bi ˈizi tə si, waɪl ðə ˈlɔŋɡɚ tɚm ɪˈfɛkt ɪz ˈɔftən lɛs ˈɑbviəs./
人工智能的即时效应可能很容易看到，而长期效应往往不那么明显。
The immediate effect of — 保留结构，替换真实细节。A careful comparison uses the same standard for both choices and separates convenience from lasting value.
/ə ˈkɛɹfəl kəmˈpɛɹəsən ˈjuzɪz ðə seɪm ˈstændɚd fɚ boʊθ ˈt͡ʃɔɪsɪz ænd ˈsɛpɚˌeɪts kənˈvinjəns fɹʌm ˈlæstɪŋ ˈvælju./
仔细比较后，这两种选择都使用相同的标准，并将便利性与持久价值区分开来。
A careful comparison uses — 保留结构，替换真实细节。Once the difference is clear, a speaker can give a preference without pretending that the other option has no merit.
/wʌns ðə ˈdɪfɹəns ɪz klɪɹ, ə ˈspikɚ kən ɡɪv ə ˈpɹɛfɚəns wɪˈðaʊt pɹiˈtɛndɪŋ ðæt ðə ˈʌðɚ ˈɑpʃən hæz noʊ ˈmɛɹɪt./
一旦差异明显，发言者就可以给出偏好，而不必假装其他选项没有优点。
Once the difference is — 保留结构，替换真实细节。A convincing view of artificial intelligence gives a reason and then tests it against a concrete example.
/ə kənˈvɪnsɪŋ vju əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ɡɪvz ə ˈɹizən ænd ðɛn tɛsts ɪt əˈɡɛnst ə ˈkɑŋkɹit ɪɡˈzæmpəl./
对人工智能的令人信服的观点给出了一个理由，然后用一个具体的例子来检验它。
example — 保留结构，替换真实细节。The result matters because it shows whether a response to artificial intelligence worked in practice.
/ðə ɹɪˈzʌlt ˈmætɚz bɪˈkʌz ɪt ʃoʊz ˈwɛðɚ ə ɹɪˈspɑns tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns wɚkt ɪn ˈpɹæktɪs./
结果很重要，因为它表明对人工智能的反应在实践中是否有效。
result — 保留结构，替换真实细节。Personal experience can introduce artificial intelligence, but a wider judgement also needs evidence.
/ˈpɚsənəl ɪkˈspɪɹiəns kən ˌɪntɹoʊˈdus ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns, bʌt ə ˈwaɪdɚ ˈd͡ʒʌd͡ʒmənt ˈɔlsoʊ nidz ˈɛvədəns./
个人经验可以引入人工智能，但更广泛的判断也需要证据。
personal experience — 保留结构，替换真实细节。A sensible choice about artificial intelligence compares immediate convenience with longer-term effects.
/ə ˈsɛnsɪbəl t͡ʃɔɪs əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns kəmˈpɛɹz ɪˈmidiɪt kənˈvinjəns wɪθ ˈlɔŋɡɚ tɚm ɪˈfɛkts./
关于人工智能的明智选择是将即时便利性与长期效果进行比较。
choice — 保留结构，替换真实细节。However, an early success can hide a cost that appears later.
/ˌhaʊˈɛvɚ, ən ˈɚli səkˈsɛs kən haɪd ə kɔst ðæt əˈpɪɹz ˈleɪtɚ./
然而，早期的成功可能会掩盖后来出现的成本。
however — 保留结构，替换真实细节。This matters because the decision changes what people can do in ordinary life.
/ðɪs ˈmætɚz bɪˈkʌz ðə dɪˈsɪʒən ˈt͡ʃeɪnd͡ʒɪz wʌt ˈpipəl kən du ɪn ˈɔɹdɪˌnɛɹi laɪf./
这很重要，因为决定会改变人们在普通生活中所能做的事情。
because — 保留结构，替换真实细节。Although one response may help, no single solution will suit every person.
/ɔlˈðoʊ wʌn ɹɪˈspɑns meɪ hɛlp, noʊ ˈsɪŋɡəl səˈluʃən wɪl sut ˈɛvɹi ˈpɚsən./
尽管一种回应可能会有所帮助，但没有一种解决方案适合所有人。
although — 保留结构，替换真实细节。The most practical lesson is that artificial intelligence should be judged through real effects rather than attractive slogans.
/ðə moʊst ˈpɹæktɪkəl ˈlɛsən ɪz ðæt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ʃʊd bi d͡ʒʌd͡ʒd θɹu ɹil ɪˈfɛkts ˈɹæðɚ ðən əˈtɹæktɪv ˈsloʊɡənz./
最实际的教训是人工智能应该通过实际效果而不是有吸引力的口号来判断。
rather than — 保留结构，替换真实细节。Good decisions connect a clear purpose with evidence, human experience, and the willingness to revise a weak approach.
/ɡʊd dɪˈsɪʒənz kəˈnɛkt ə klɪɹ ˈpɚpəs wɪθ ˈɛvədəns, ˈhjumən ɪkˈspɪɹiəns, ænd ðə ˈwɪlɪŋnəs tə ɹɪˈvaɪz ə wik əˈpɹoʊt͡ʃ./
好的决定会把明确目标、事实证据、人的真实经验，以及修正薄弱方案的意愿联系起来。
experience — 保留结构，替换真实细节。When those parts stay connected, the topic becomes easier to discuss in daily conversation and in an IELTS answer.
/wɛn ðoʊz pɑɹts steɪ kəˈnɛktɪd, ðə ˈtɑpɪk bɪˈkʌmz ˈiziɚ tə dɪˈskʌs ɪn ˈdeɪli ˌkɑnvɚˈseɪʃən ænd ɪn ən aɪ ɛl ti ɛs ˈænsɚ./
当这些部分保持连贯时，无论日常交流还是 IELTS 回答，这个主题都会更容易展开。
When those parts stay — 保留结构，替换真实细节。A teacher used an AI summary as a draft but checked every claim against the original article.
/ə ˈtit͡ʃɚ just ən eɪ aɪ ˈsʌmɚi æz ə dɹæft bʌt t͡ʃɛkt ˈɛvɹi kleɪm əˈɡɛnst ðə ɚˈɪd͡ʒənəl ˈɑɹtɪkəl./
At first, this looked like a small decision about artificial intelligence, but its result soon became visible.
/æt fɚst, ðɪs lʊkt laɪk ə smɔl dɪˈsɪʒən əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns, bʌt ɪts ɹɪˈzʌlt sun bɪˈkeɪm ˈvɪzɪbəl./
The case raises a broader question: how automated systems create value and new responsibilities.
/ðə keɪs ˈɹeɪzɪz ə ˈbɹɔdɚ ˈkwɛst͡ʃən: haʊ ˈɔtoʊˌmeɪtɪd ˈsɪstəmz kɹiˈeɪt ˈvælju ænd nju ɹiˌspɑnsɪˈbɪlətiz./
Careful evaluation of artificial intelligence can improve the allocation of limited resources.
/ˈkɛɹfəl ɪˌvæljuˈeɪʃən əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns kən ɪmˈpɹuv ðə ˌæləˈkeɪʃən əv ˈlɪmɪtɪd ˈɹisɔɹsɪz./
The example draws attention to a learning algorithm, which can shape how people respond to artificial intelligence.
/ðə ɪɡˈzæmpəl dɹɔz əˈtɛnʃən tə ə ˈlɚnɪŋ ˈælɡɚˌɪðəm, wɪt͡ʃ kən ʃeɪp haʊ ˈpipəl ɹɪˈspɑnd tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns./
A closer look at a workplace automation reveals a practical side of artificial intelligence that general opinions often miss.
/ə ˈkloʊsɚ lʊk æt ə ˈwɚkˌpleɪs ɔtoʊˈmeɪʃən ɹɪˈvilz ə ˈpɹæktɪkəl saɪd əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ðæt ˈd͡ʒɛnɚəl əˈpɪnjənz ˈɔftən mɪs./
A useful question about artificial intelligence focuses on what happened, why it matters, and what should happen next.
/ə ˈjusfəl ˈkwɛst͡ʃən əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ˈfoʊkəsɪz ɔn wʌt ˈhæpənd, waɪ ɪt ˈmætɚz, ænd wʌt ʃʊd ˈhæpən nɛkst./
A concrete example of artificial intelligence makes the central idea easier to understand and evaluate.
/ə ˈkɑŋkɹit ɪɡˈzæmpəl əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns meɪks ðə ˈsɛntɹəl aɪˈdiə ˈiziɚ tə ˌʌndɚˈstænd ænd ɪˈvæljuˌeɪt./
The meaning of artificial intelligence becomes clearer when people connect it to a real experience.
/ðə ˈminɪŋ əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns bɪˈkʌmz ˈklɪɹɚ wɛn ˈpipəl kəˈnɛkt ɪt tə ə ɹil ɪkˈspɪɹiəns./
People can describe an experience when a real situation involving artificial intelligence requires action.
/ˈpipəl kən dɪˈskɹaɪb ən ɪkˈspɪɹiəns wɛn ə ɹil ˌsɪt͡ʃuˈeɪʃən ɪnˈvɑlvɪŋ ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ɹiˈkwaɪɚz ˈækʃən./
People can compare two responses to artificial intelligence only when they use the same criteria.
/ˈpipəl kən kəmˈpɛɹ tu ɹɪˈspɑnsɪz tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ˈoʊnli wɛn ðeɪ juz ðə seɪm kɹaɪˈtɪɹiə./
The immediate effect of artificial intelligence may be easy to see, while the longer-term effect is often less obvious.
/ðə ɪˈmidiɪt ɪˈfɛkt əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns meɪ bi ˈizi tə si, waɪl ðə ˈlɔŋɡɚ tɚm ɪˈfɛkt ɪz ˈɔftən lɛs ˈɑbviəs./
A careful comparison uses the same standard for both choices and separates convenience from lasting value.
/ə ˈkɛɹfəl kəmˈpɛɹəsən ˈjuzɪz ðə seɪm ˈstændɚd fɚ boʊθ ˈt͡ʃɔɪsɪz ænd ˈsɛpɚˌeɪts kənˈvinjəns fɹʌm ˈlæstɪŋ ˈvælju./
Once the difference is clear, a speaker can give a preference without pretending that the other option has no merit.
/wʌns ðə ˈdɪfɹəns ɪz klɪɹ, ə ˈspikɚ kən ɡɪv ə ˈpɹɛfɚəns wɪˈðaʊt pɹiˈtɛndɪŋ ðæt ðə ˈʌðɚ ˈɑpʃən hæz noʊ ˈmɛɹɪt./
A convincing view of artificial intelligence gives a reason and then tests it against a concrete example.
/ə kənˈvɪnsɪŋ vju əv ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ɡɪvz ə ˈɹizən ænd ðɛn tɛsts ɪt əˈɡɛnst ə ˈkɑŋkɹit ɪɡˈzæmpəl./
The result matters because it shows whether a response to artificial intelligence worked in practice.
/ðə ɹɪˈzʌlt ˈmætɚz bɪˈkʌz ɪt ʃoʊz ˈwɛðɚ ə ɹɪˈspɑns tə ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns wɚkt ɪn ˈpɹæktɪs./
Personal experience can introduce artificial intelligence, but a wider judgement also needs evidence.
/ˈpɚsənəl ɪkˈspɪɹiəns kən ˌɪntɹoʊˈdus ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns, bʌt ə ˈwaɪdɚ ˈd͡ʒʌd͡ʒmənt ˈɔlsoʊ nidz ˈɛvədəns./
A sensible choice about artificial intelligence compares immediate convenience with longer-term effects.
/ə ˈsɛnsɪbəl t͡ʃɔɪs əˈbaʊt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns kəmˈpɛɹz ɪˈmidiɪt kənˈvinjəns wɪθ ˈlɔŋɡɚ tɚm ɪˈfɛkts./
However, an early success can hide a cost that appears later.
/ˌhaʊˈɛvɚ, ən ˈɚli səkˈsɛs kən haɪd ə kɔst ðæt əˈpɪɹz ˈleɪtɚ./
This matters because the decision changes what people can do in ordinary life.
/ðɪs ˈmætɚz bɪˈkʌz ðə dɪˈsɪʒən ˈt͡ʃeɪnd͡ʒɪz wʌt ˈpipəl kən du ɪn ˈɔɹdɪˌnɛɹi laɪf./
Although one response may help, no single solution will suit every person.
/ɔlˈðoʊ wʌn ɹɪˈspɑns meɪ hɛlp, noʊ ˈsɪŋɡəl səˈluʃən wɪl sut ˈɛvɹi ˈpɚsən./
The most practical lesson is that artificial intelligence should be judged through real effects rather than attractive slogans.
/ðə moʊst ˈpɹæktɪkəl ˈlɛsən ɪz ðæt ˌɑɹtəˈfɪʃəl ɪnˈtɛlɪd͡ʒəns ʃʊd bi d͡ʒʌd͡ʒd θɹu ɹil ɪˈfɛkts ˈɹæðɚ ðən əˈtɹæktɪv ˈsloʊɡənz./
Good decisions connect a clear purpose with evidence, human experience, and the willingness to revise a weak approach.
/ɡʊd dɪˈsɪʒənz kəˈnɛkt ə klɪɹ ˈpɚpəs wɪθ ˈɛvədəns, ˈhjumən ɪkˈspɪɹiəns, ænd ðə ˈwɪlɪŋnəs tə ɹɪˈvaɪz ə wik əˈpɹoʊt͡ʃ./
When those parts stay connected, the topic becomes easier to discuss in daily conversation and in an IELTS answer.
/wɛn ðoʊz pɑɹts steɪ kəˈnɛktɪd, ðə ˈtɑpɪk bɪˈkʌmz ˈiziɚ tə dɪˈskʌs ɪn ˈdeɪli ˌkɑnvɚˈseɪʃən ænd ɪn ən aɪ ɛl ti ɛs ˈænsɚ./
02 · Vocabulary
n./phrase · 算法
a key idea used when discussing artificial intelligence
learning algorithm
n./phrase · 自动化
a key idea used when discussing artificial intelligence
workplace automation
n. · 问题
a sentence that asks for information
ask a question
n. · 例子
something that shows what you mean
give an example
n. · 意思
the idea expressed by a word
guess the meaning
v. · 描述
to say what someone or something is like
describe an experience
v. · 比较
to examine how things are similar or different
compare two options
n. · 原因
a cause or explanation
give a reason
n. · 结果
something that happens because of an action
as a result
n./v. · 经历；体验
knowledge gained by doing something
personal experience
n. · 选择
an act of choosing between possibilities
make a choice
adv. · 然而
used to introduce a contrasting idea
however, some people
conj. · 因为
for the reason that
because of
conj. · 尽管
despite the fact that
although it is
03 · Chunks
learning algorithm算法；保留结构，替换一个真实细节。workplace automation自动化；保留结构，替换一个真实细节。ask a question问题；保留结构，替换一个真实细节。give an example例子；保留结构，替换一个真实细节。guess the meaning意思；保留结构，替换一个真实细节。describe an experience描述；保留结构，替换一个真实细节。compare two options比较；保留结构，替换一个真实细节。give a reason原因；保留结构，替换一个真实细节。04 · Grammar
这个结构负责把事实、原因、条件或立场组织成一个边界清楚的复杂句。
结构：main clause + logical relationship + supporting clause
原文证据：Careful evaluation of artificial intelligence can improve the allocation of limited resources.
常见错误：先保证两个分句都完整，再追求句式复杂度；不要用连接词拼接残句。
你的替换：保留结构，把主题换成自己的工作、生活或学习经历。
05 · Pronunciation
练法：慢读单词 → 读完整搭配 → 回到原句；每一步只录一遍，听完再修正。
06 · Spiral review
Day 122、Day 120、Day 116、Day 109、Day 093
07 · Speak with AI
你是我的一对一英语口语教练。今天是 Day 123，主题是 artificial intelligence，程度目标是 B1。
先让我用自己的话复述今天的文章；一次只问一个问题，并等待我回答。
如果我卡住，只给 2–4 个关键词或一个句首，不要直接给完整答案。
请引导我使用这些词：algorithm, automation, question, example, meaning, describe, compare, reason。
我的回答至少包含：一个事实、一个原因、一个具体例子、一个结果或判断。
每轮结束后只纠正最影响理解的 1 个语法问题和 1 个发音问题，然后让我重新回答同一个问题。
最后让我脱稿回答：How is artificial intelligence connected to your real life, and what have you learned from it?
结束时用中文列出：做得好的证据、需要修正的两点、三个可复用句型、明天应复习的内容。08 · Imitation
必须回收
algorithm, automation, question, example, meaning, describe, compare, reason09 · Three-hour path