48 Weekly Review

J Lionel
31 May 202417:15

Summary

TLDR本周视频回顾由Dr. Grippin主讲,重点分析了Amy Tan的散文《母语》。Tan在文中探讨了找到适合自己写作的受众和语言风格的重要性。她意识到使用非个人化的语言与大型听众群体交流时,她失去了语言的效力和个人身份特质。她提倡使用简单、直接的语言来表达思想,避免使用复杂的术语和过去完成时态,这些会使语言失去活力和时效性。此外,视频还讨论了如何通过归纳推理来构建论文论点,强调了避免选择性使用研究结果(即“cherry picking”)的重要性。最后,Dr. Grippin介绍了如何将人工智能整合到研究过程中,以提高效率和避免偏见。

Takeaways

  • 📚 本周课程主要讨论了Amy Tan的散文《Mother Tongue》,她通过这篇文章探讨了如何找到写作的合适受众,并意识到为了成为成功的作家,她需要使用什么样的语言。
  • 🎬 Amy Tan是《喜福会》一书的作者,该书后来被改编成电影。在她的写作过程中,她意识到自己之前使用的是错误的语言风格。
  • 🗣️ Amy Tan发现她与母亲交流时使用的个人语言,与她的身份认同相关,是她写作中需要的语言。
  • 🚫 她决定摒弃使用过的一些语言形式,包括名词化形式(如将动词'intersect'变为名词'intersection'),因为这些形式削弱了动作和时间感。
  • 🕒 过去完成时态也是她避免使用的语言之一,因为它将读者的注意力从当前拉回到过去,削弱了语言的即时性和生动性。
  • ❌ 她反对使用条件句,尤其是'if-then'结构,因为这种结构会分散读者的注意力,使他们从事实转移到可能性上。
  • 📉 她认为之前的语言风格使事情变得不必要地复杂,使用了比必要更多的时间和空间。
  • 🔑 Amy Tan强调使用简单、直接的语言来表达意思,这样更有效,也更有力量。
  • 🧠 她认为学习用于考试的英语与日常交流使用的英语不同,考试英语不是日常生活中人们用来沟通的语言。
  • 🔍 本周还讨论了如何将AI整合到研究中,最佳实践是在研究过程的开始和结束时使用AI。
  • 🤖 AI可以帮助避免研究中的选择性偏见(cherry picking),确保研究的全面性和客观性。
  • 📝 AI还可以在写作过程结束时提供帮助,比如通过提出建议或指出论证中的弱点。
  • 💡 虽然AI是一个强大的工具,但过度依赖它可能会错过通过研究和写作来发展思维的机会。

Q & A

  • 艾米·谭在她的散文《母语》中讨论了什么主题?

    -艾米·谭在她的散文《母语》中讨论了她如何找到写作的合适受众,并意识到为了成为一个成功的作家,她需要使用什么样的语言。

  • 艾米·谭意识到使用错误的语言会对她有什么影响?

    -艾米·谭意识到使用错误的语言会降低她的演讲效果,使她的语言失去活力和时间感,并且削弱了她个人身份的特殊品质。

  • 什么是‘名词化形式’,并且艾米·谭为什么认为它对她的写作不利?

    -‘名词化形式’是指将动词转换成名词的形式,如将'intersect'变为'intersection'。艾米·谭认为这种形式的语言削弱了动作和时间感,使语言失去了生命力。

  • 艾米·谭对于过去完成时态的看法是什么?

    -艾米·谭认为过去完成时态会将读者或听众的注意力从当前时刻带走,分散到不确定的过去时间,这使得语言效果减弱。

  • 艾米·谭在她的写作中避免使用哪些类型的语言?

    -艾米·谭避免使用使事情复杂化的语言,比如名词化形式、过去完成时态和条件句,因为这些都会分散注意力,降低语言的效率和表现力。

  • 艾米·谭认为标准化考试中的英语与日常交流的英语有何不同?

    -艾米·谭认为标准化考试中的英语与日常交流的英语不同,考试英语不是日常沟通的语言,也不是她与母亲交流时使用的语言。

  • 艾米·谭对于使用简单语言的看法是什么?

    -艾米·谭提倡使用简单语言,以便每个人都能理解,而不是使用复杂的语言,浪费更多的时间和空间来表达相同的意思。

  • 艾萨克·牛顿在他的著作《自然哲学的数学原理》中支持了哪种推理方式?

    -艾萨克·牛顿在他的著作中支持了归纳推理,即从具体的观察出发,通过概括找到规律或规则。

  • 在写作论文时,如何使用归纳推理来形成结论?

    -在写作论文时,通过归纳推理,我们可以从找到的引用和观察中概括出结论,这个结论将成为我们论文的主张或论点。

  • 为什么在写作论文时避免选择性地使用研究结果(即'cherry picking')很重要?

    -避免选择性地使用研究结果很重要,因为这会导致偏见和不准确的结论,而科学研究和论文写作应该追求客观性和全面性。

  • AI在研究和写作过程中的最佳使用时机是什么?

    -AI在研究和写作过程中的最佳使用时机是在开始阶段提供搜索方向的建议,以及在写作结束阶段提供对论文的反馈和建议。

  • 为什么我们不应该过度依赖AI进行研究和写作?

    -我们不应该过度依赖AI,因为研究和写作的过程有助于我们发展和改进思维结构,如果过度依赖AI,我们将失去这个发展思维的机会。

Outlines

00:00

📚 课程回顾与Amy Tan的《母语》

本周课程回顾了Amy Tan的散文《母语》,她通过这篇文章探讨了如何找到写作的合适受众,并意识到为了成为成功的作家,她需要使用何种语言。Tan发现,当她在公众场合使用错误的语言时,她的演讲效果并不理想。特别是当她的母亲在听众中时,她意识到她使用的是错误的语言,因为她与母亲交流时使用的个人语言才是对她最有意义的,这与她的身份认同有关。她指出,在她成为成功作家之前,她曾使用了一些错误的语言形式,如过度使用名词化形式(如将动词'intersect'变为名词'intersection'),这削弱了语言的动态感和时间感。此外,她还提到了过去完成时态和条件句,这些都使她的语言表达变得复杂和低效。Tan强调,为了提高表达效率,应该使用更简洁、更生动的语言。

05:01

🔍 牛顿的归纳推理与写作中的逻辑

本段讨论了艾萨克·牛顿在其1687年出版的《自然哲学的数学原理》中提出的归纳推理概念。归纳推理是从具体观察开始,通过概括找到规律或规则的过程。例如,如果不同地方的科学家都发现冰在0度融化,那么我们可以通过归纳推理得出冰在零度融化的结论。这种方法帮助欧洲走出黑暗时代,进入启蒙时代,促进了工业和科学的快速发展。在写作中,我们同样使用归纳推理来形成结论,这些结论成为我们文章的主张,而通过研究找到的引用则作为支持这些主张的证据。此外,本段还批评了在人文学科中常见的选择性引用(cherry picking)现象,即只选择支持自己观点的引用而忽略其他,这种做法与科学精神相悖。

10:03

🤖 AI在研究和写作中的应用

本段探讨了如何将人工智能(AI)整合到研究和写作过程中。建议在研究过程的开始和结束时使用AI。开始时,AI可以提供搜索方向或建议,帮助避免选择性偏见(cherry picking)。结束时,AI可以用来审查已完成的文章,提出改进建议或指出论点的弱点。AI对于回答特定问题特别有用,比如询问历史事件的反应或解释文学作品的含义。然而,我们不应过度依赖AI,因为通过研究和写作,我们可以发展和改进自己的思维结构。如果过分依赖AI,我们可能会失去发展思维的机会。

15:06

🚀 下周课程预告与总结

在最后一段中,预告了下周的课程将对本周内容进行总结。同时提醒学生,通过研究和写作,他们可以发展自己的思维,而不应仅仅依赖AI。鼓励学生在写作过程中,将思维从抽象转化为具体,这有助于构建更强大的思维连接。这段也强调了研究和写作对于个人思维发展的重要性,并提醒大家下周将继续深入探讨这些主题。

Mindmap

Keywords

💡Amy Tan

艾米·谭是一位著名的美国作家,她的代表作《喜福会》不仅是一本成功的小说,还被改编成了电影。在视频中,艾米·谭通过她的散文《母语》来探讨她如何找到写作的合适受众,并意识到为了成为一名成功的作家,她需要使用什么样的语言。她的故事和观点对于理解视频中关于语言和身份认同的主题至关重要。

💡母语

在视频中,'母语'指的是艾米·谭用来与她母亲交流的个人语言,这种语言与她的身份认同密切相关。她意识到,当她使用其他类型的语言与大群体交流时,她失去了语言的效果和特殊品质。'母语'在视频中代表了个人身份和文化根源,是艾米·谭写作成功的关键因素之一。

💡名义化形式

名义化形式是指将动词转换成名词的形式,如将'intersect'变为'intersection'。艾米·谭在视频中提到,她曾过度使用这种语言形式,但后来意识到这并不适合她。名义化形式会削弱语言的动态感和时间感,使语言变得不再生动。

💡过去完成时

过去完成时是英语中的一种时态,用于表示在过去某一时间点或动作之前已经完成的动作。艾米·谭在视频中指出,过去完成时会将读者或听众的注意力从当前时刻转移开,分散到不确定的过去,这不利于保持语言的即时性和生动性。

💡条件句

条件句通常以'如果...那么...'的形式出现,用于表达假设或可能性。在视频中,艾米·谭认为条件句会分散读者的注意力,使他们从当前的事实转移到不确定的可能性上,这不利于语言的清晰和集中。

💡注意力分散

视频中提到,艾米·谭不喜欢的语言使用方式之一是它使事情变得复杂,分散了注意力。无论是使用名义化形式、过去完成时还是条件句,都可能导致读者或听众的注意力从主要信息上转移,从而降低了语言的效果。

💡艾萨克·牛顿

艾萨克·牛顿爵士是一位著名的科学家,他在1687年出版了《自然哲学的数学原理》,这是科学史上最有影响力的书籍之一。视频中提到牛顿支持归纳推理,这是一种从具体观察到一般规律的思考过程,对于科学和写作都非常重要。

💡归纳推理

归纳推理是一种从具体实例中发现普遍规律的思考方式。在视频中,牛顿通过归纳推理来解释科学发现的过程,例如通过观察不同地方的冰在0度时融化,归纳出冰的熔点是0度。这种方法也适用于写作,通过归纳推理形成论点。

💡逻辑

逻辑,或称为logos,在视频中指的是通过归纳推理得出结论的过程。这是一种基于常识的推理方式,可以帮助我们清晰地表达和支持我们的观点。逻辑是写作中不可或缺的一部分,有助于构建有力的论证。

💡选择性引用

选择性引用,或称为cherry picking,是指在研究过程中只选择支持自己观点的证据,而忽略或排除与自己观点相悖的证据。视频中提到这是一种不良的研究方法,因为它会导致偏见和不准确的结论。

💡人工智能

人工智能在视频中被提到作为一种工具,可以在研究和写作过程中提供帮助。它可以在研究的开始阶段提供搜索建议,避免选择性引用,并在写作过程的最后阶段提供反馈和建议,以改进论证。然而,视频中也强调了不过度依赖人工智能的重要性,以促进个人思维的发展。

Highlights

艾米·谭在她的文章《母语》中探讨了如何找到写作的合适受众,并意识到她需要使用的语言类型。

谭发现她之前在公共演讲中使用的语言是错误的,因为它与她的身份和个人语言无关。

谭认为,将动词转换为名词形式(如intersect变为intersection)会使语言失去动作和时间感。

谭指出,过去完成时(如过去完成时的例子)会将读者从当前时刻带走,分散注意力。

谭批评了条件句(如'如果...那么...'结构)因为它们将注意力从事实转移到可能性上。

谭不喜欢她早期语言风格中的复杂性,认为应该用更少的时间和空间来表达意思。

谭强调使用动词而不是名词来保持语言的活力和动作感。

谭认为,她之前学习的英语并不适合日常交流,而是考试专用英语。

谭提倡在日常生活中使用简单易懂的语言,而不是故意混淆视听。

艾萨克·牛顿在1687年出版的《自然哲学的数学原理》中支持归纳推理的概念。

牛顿认为科学家应该通过归纳推理来确定真理,这对欧洲启蒙运动和科学进步有重要贡献。

在写作论文时,我们使用归纳推理来得出结论,这些结论成为我们论文的主张。

避免在研究中选择性地挑选支持自己观点的证据,这是一种被称为'cherry picking'的错误方法。

AI可以在研究过程的开始和结束时提供帮助,避免选择性偏见。

AI可以帮助我们更好地理解问题的各个方面,包括我们自己和对手的观点。

AI可以用于写作过程的最后阶段,为已完成的论文提供建议或指出论证中的弱点。

AI适合回答那些直接且快速的问题,而不是过度依赖它来发展我们的思维结构。

通过研究和写作,我们可以帮助自己的思维发展,而过度依赖AI可能会错过这个机会。

Transcripts

00:00

hello again I'm Dr grippin it's time for

00:03

our weekly review before we get into it

00:06

there's my email address as always

00:08

please email me if you have any

00:10

questions or comments about the course

00:12

at aaronin

00:15

gmail.com now we started off looking at

00:18

one of our main literary texts in the

00:20

course this week was Amy Tan's essay

00:23

mother tongue She Wrote the very

00:26

successful book Joy Luck Club which was

00:28

made into a movie and she talked in

00:31

talks in her essay mother tongue about

00:34

how she came to find the appropriate

00:37

audience for her writing and in turn

00:40

then she realized what kind of language

00:42

she needed to use to become a successful

00:45

writer and one of the things she

00:47

realized was that she was using the

00:49

wrong kind of speech when she was going

00:52

around talking to Big groups of people

00:55

and one day when her mother was in the

00:58

audience she found that the the wrong

01:01

the speech was wrong because it was not

01:04

the kind of speech that was most

01:05

meaningful to her and the speech that

01:08

was meaningful to her was her personal

01:10

speech that she used with her mother and

01:13

that was related to her identity as well

01:16

and that she had been losing both the

01:19

effectiveness of her speech and the

01:22

special qualities of her identity when

01:25

she was using this other kind of wrong

01:28

language she calls it and let's take a

01:31

look at what she identified as the wrong

01:34

language that was she was using before

01:37

she became a successful writer and what

01:39

she moved away from to eventually become

01:43

the writer that that she is today one of

01:45

them was nominalized forms she said her

01:48

language was burdened with these and

01:51

that means noun forms for example taking

01:54

a verb like intersect and changing it to

01:57

intersection and imagine to

02:00

imagination and so some of the examp an

02:03

example of this kind of nominalized form

02:06

that she was using was the intersection

02:09

of memory and Imagination and she

02:12

thought that she says in mother tongue

02:15

that that is the wrong kind of language

02:17

for her I know many people want to write

02:20

this way they like to use the bigger

02:22

words because uh uh standardized tests

02:26

like the college entrance exam expects

02:29

us to use these kind of words but they

02:31

were not for her what happens with these

02:34

nominalized forms is that you take a

02:36

verb which expresses motion and motion

02:39

happens in time and you take away the

02:43

action and the sense of time when you

02:46

convert it to a noun so now there's no

02:49

more sense of movement and no sense of

02:52

time and you lose a sense of Life

02:54

literally because life occurs in time

02:58

changes happen and nouns remove some of

03:02

that sense so nominalized forms were one

03:05

thing that she wanted to get away from

03:07

another was past perfect tenses and we

03:10

know from the example of some other

03:12

languages like Chinese you don't need a

03:15

past perfect tense and this is another

03:18

thing that was burdening her language

03:20

and a reason why probably is that it

03:23

removes us from the present and sends us

03:26

to somewhere that we can't see even we

03:29

can't imagine it many times so imagine

03:32

we we are reading this essay mother

03:35

tongue now at this moment we're reading

03:38

mother tongue and Amy Tan tells us about

03:42

a time in the past when she was giving

03:45

another speech so our imagination goes

03:47

to the past and then at that time she

03:51

had given the speech six other times in

03:55

different places or whatever so now our

03:58

imagination divides into six different

04:01

pieces what time we don't know six

04:05

different times we don't know what

04:07

places we don't know six different

04:09

places so our imagination just dissolved

04:12

into six something and we don't know

04:16

what they are she took us from the PE

04:19

present back back again and our our

04:23

attention divides into six pieces and so

04:27

this is less effective kind of language

04:29

it's taking us away from our present

04:32

experience and she she gives an example

04:35

of this she uses it herself the past

04:38

perfect tense the same talk I had

04:40

already given half a dozen times and

04:43

that divides our attention takes it away

04:45

from the present she also talks about

04:48

conditional phrases which are usually if

04:51

then phrases and that has those have the

04:54

same type of effect that we're talking

04:57

about the actual fact and then from the

05:00

fact we take our attention move it away

05:03

to something else that's not the fact

05:05

but if possibly maybe this happens then

05:09

something else so instead of having our

05:12

attention in one place it's divided over

05:15

with a second place which is not even

05:17

real it's just simply a possibility so

05:21

these are ways of dividing our attention

05:23

and in general the things that Amy Tan

05:26

did not like in her old style of

05:29

language usage was that her language

05:32

makes make made things more complicated

05:36

than they needed to be they also used

05:39

more time and space than necessary if

05:43

you take a meaning and instead of

05:45

expressing it in a short word you

05:47

express it in a longer word you're

05:50

you're using more space to express the

05:54

same amount and more space also takes

05:57

more time language exists exists in time

06:01

so when you're making longer words

06:03

you're using more time and becoming less

06:06

efficient you want to use less time and

06:09

less space to express your meaning

06:12

that's the more efficient and more

06:14

powerful way the wrong kind of language

06:17

she had been using Amy Tan she had been

06:21

using words that take away the sense of

06:23

action instead of using verbs she was

06:26

using nouns and so we don't have this

06:28

sense of motion of life and the some of

06:32

the language that she was using was hard

06:35

to picture we just have nothing to see

06:38

in our mind According to some of these

06:41

uses uses of language that she had

06:44

before she became

06:47

successful and she uh makes a point

06:50

which I agree with I want to reiterate

06:53

that the English that she had been

06:55

learning as a 15-year-old student the

06:58

English for the ESS at test and the

07:00

college entrance exam and all that

07:03

that's not the English of everyday

07:06

communication not the English that she

07:08

uses with her mom not the English that

07:11

normal people use to communicate with

07:14

each other just remember on the uh

07:17

college entrance exam or this SAT test

07:21

there's a lot of math on there too math

07:23

problems right that's not the math that

07:26

you use in everyday life it's the same

07:30

thing with English there's English for

07:33

the test that's not the English for

07:35

everyday life so let's just not get

07:38

confused when we're in everyday life

07:40

let's use Simple language that everyone

07:43

can understand instead of trying to

07:46

confuse people and use more time and

07:49

space to say the same meaning we'll just

07:52

try to focus on getting some good ideas

07:55

and saying them clearly so everyone can

07:58

understand

08:01

now this week we also talked about Sir

08:03

Isaac Newton and the very famous book

08:06

that he published in

08:08

1687 one of the most influential books

08:10

in The History of Science called

08:13

mathematical principles of natural

08:15

philosophy and in it he uh endorses the

08:19

idea of induction or inductive reasoning

08:22

and you remember what that is is

08:25

beginning from specific observations in

08:28

the material world

08:29

and then using the power that human

08:32

Minds have is generalizing trying to

08:35

find a pattern or a rule and

08:38

generalizing some kind of main idea or a

08:42

rule a law um or a a basic thought a

08:46

main idea uh by the process of inductive

08:51

reasoning or induction right so for

08:54

example back in 1687 when Sir Isaac

08:57

Newton was publishing Maybe maybe a

08:59

scientist discovered that when you raise

09:02

the temperature of ice to 0° then it

09:05

melts and also a scientist in China

09:08

discovered when you raise the

09:10

temperature of ice to 0 degrees it melts

09:13

and likewise in Germany someone

09:15

discovered the same thing then if we

09:18

take these three pieces of data by the

09:20

process of inductive reasoning we can

09:23

reach the conclusion that ice melts at

09:25

zero Sir Isaac Newton said this is the

09:28

way that scientists should proceed and

09:31

uh decide on what is true they'll take

09:34

this process as a determiner of the

09:36

truth and that made a big contribution

09:39

to helping Europe go forward get out of

09:42

the Dark Ages and get into the

09:45

enlightenment in which there was rapid

09:48

industrial and scientific progress after

09:51

that um in our case we're not uh like

09:55

scientists measuring temperature or

09:59

weight or distance but we are looking at

10:03

pieces of the material world again in

10:05

our case we're looking at Words which

10:08

someone else put onto a page or into

10:12

digital form which we can then

10:15

experience from the physical world the

10:17

same way so these words these quotations

10:20

that we find are

10:24

also moments of experience of the

10:27

physical world but they're just

10:29

expressed through words rather than

10:31

numbers and measurements right and we do

10:33

the same process when we're writing an

10:36

essay use inductive reasoning to reach

10:39

some kind of conclusion right and then

10:42

the conclusion will be our claim and

10:44

these quotations that we found through

10:47

research are our supports for our claim

10:51

and in Aristotle's terms of rhetoric

10:55

logos ethos and pathos this process is

10:58

logos it's just common sense reasoning

11:02

or

11:03

logic now also when we were talking

11:06

about this kind of process we saw a very

11:08

common kind of bad process that happens

11:12

a lot in the liberal art side of the

11:14

University not in the Sciences side

11:17

scientists are very clear that what

11:19

we're seeing in this picture is a bad

11:22

research method but people in The

11:24

English Department and a lot of the

11:26

liberal arts side of the University do

11:28

this all time they'll do their research

11:31

and find seven quotations for example

11:35

and then they just say well I don't like

11:37

that one it doesn't agree with me okay I

11:40

like these two I don't like those two I

11:42

like these two well I'll use four and

11:46

then three of them I'm just going to

11:47

ignore them I won't pay attention to

11:50

them that is terrible science we

11:52

shouldn't do that but people do it all

11:55

the time when we're writing essays this

11:57

is called cherry picking and and we

11:59

don't want to do it the best way to

12:01

write the essay would be to use all

12:04

seven of these pieces of research

12:06

instead of just

12:09

four now we also discussed this week how

12:12

to incorporate AI into our research and

12:16

the best places to do that are at the

12:18

very beginning and the very end you just

12:21

have your traditional process that

12:23

you've always done by doing some

12:25

research on the internet using a a

12:28

search engine in like Google or BYO or

12:31

something now when we're using AI we

12:34

insert that as the first step before

12:38

going to the internet sear search engine

12:41

and AI will give us directions or

12:43

suggestions on what we should be

12:45

searching for and AI can help us become

12:48

more scientific because we will not do

12:52

that process that we just talked about

12:54

the cherry picking and choosing four out

12:57

of seven things and AI helps us to avoid

13:01

doing that because in the old way before

13:05

AI uh somebody they want to write an

13:08

essay they'll just say well I want to

13:10

write an essay that says guns are bad

13:13

and then they start researching and if

13:15

they find stuff that says guns are bad

13:18

then they keep it if they find stuff

13:21

that says guns are good then they don't

13:23

pay any attention to it and that's the

13:26

wrong way of cherry-picking that we

13:27

don't want to do now with AI we can say

13:31

to the AI I'm writing a college essay on

13:34

the topic of guns can you please give me

13:36

the most common topics on both sides of

13:40

the question of guns and then AI will

13:42

tell us all of the reasons on both sides

13:45

of the issue of guns and we'll know

13:48

we'll understand our own point of view

13:50

better but we'll also know all of the

13:54

points of view on the opposing side of

13:56

the argument and that will make it

13:59

stronger because maybe we naturally know

14:01

the reasons why we believe something but

14:04

we don't naturally know the reasons why

14:07

other people totally disagree with

14:09

us AI can also be used at the end of

14:13

this writing process after you have done

14:15

your research and organized the research

14:18

into parts of the essay and then written

14:21

the essay once the essay is done you can

14:24

upload that into something like chat GPT

14:28

and ask it for suggestions or ask it

14:30

where your argument is

14:32

weak AI is good for those one-step kind

14:36

of questions that would take a lot more

14:38

time if you tried to answer them on the

14:41

internet using something like Google for

14:44

example what was the reaction to Swift's

14:46

amatus proposal when it was published if

14:49

you ask this question to chat GPT it'll

14:52

give you an answer in 30 seconds if you

14:55

try to answer this question using

14:57

internet searches and Google it can

15:00

easily take you an hour or more to

15:03

figure this out so we want to turn to AI

15:06

like chat GPT with this kind of question

15:09

or what are some some examples of pathos

15:12

or inductive reasoning cherry picking

15:13

Etc chat GPT is great for this or can

15:17

Amy Tan speak Chinese it'll tell us in

15:20

15 seconds it would take a lot longer if

15:23

we're trying to find this out by doing

15:25

Google searches and what do Plato's

15:28

allegory of the Cav mean these kinds of

15:31

questions are suitable for AI and AI can

15:34

give us a big advantage in in this kind

15:37

of

15:38

case so we don't want to over rely on AI

15:42

because in your mind are thought

15:44

structures made of language and you can

15:48

improve them this is my imagination of

15:51

how our thoughts are something like this

15:54

you can improve your own thought

15:55

structures through the process of

15:58

research and writing and what happens is

16:01

you have some stuff in your mind maybe

16:03

they're words or not but when you write

16:07

you need to put these things into the

16:09

material world you make them into words

16:12

that other people are able to read

16:15

because they go into the physical world

16:18

and this process of you taking what's

16:20

floating around in your mind and putting

16:23

it into material form that other people

16:26

can experience in the physical world

16:29

actually helps you to develop these

16:31

connections like we're seeing in the

16:33

picture here and you can develop your

16:35

mind so this is a way that you can make

16:39

your own thinking evolve is by doing

16:42

research and writing out your thoughts

16:45

and if you avoid doing this by relying

16:48

on AI too much you miss this opportunity

16:52

of developing your thoughts be Beyond

16:55

where they are right

16:57

now so that's what we talked about in in

17:00

this past week of videos uh next week is

17:04

going to bring it all to a conclusion

17:07

until that time take care everybody

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