跟读练习: You're Not Behind: Become AI-Native (without the overwhelm) - 通过视频学习英语口语

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Our newest flagship model, this is GPT -4 -0.

Gemini is delivering our most intelligent AI experience.

The launch of Amazon Nova.

We are introducing more than 50 plus new products.

We're going to try something that as far as we know, no tech company has done before.

Google has been at the forefront of many of those things.

Gemini was better than any other model out there.

GPT -4 is incredibly advanced.

More than any other large game.

So O1 is the smartest model in the world.

Gemini 2 .0 enables new kinds of frontier intelligence.

So as a product marketing manager at Google, believe me, I feel that pressure to keep up with AI more than most.

And initially, I struggled because one, there's just so much noise out there.

And two, I felt held back by my non -technical background.

After two plus years of consuming newsletters, podcasts, courses, embedding AI tools into my workflow, and even running workshops to test my own knowledge,

I can confidently say the problem is not that you're behind.

The problem is that nobody has shown you a clear and actionable roadmap to navigate all of this.

So in this video, I'll break down the three biggest challenges holding people back in AI

and the exact strategies I use to overcome them.

Let's get started.

Challenge number one, AI tools paralysis.

Product launches, new feature announcements, and benchmark pissing contests make up most of the noise around AI.

And all this hype makes it nearly impossible to identify which tools can actually boost our daily productivity.

Because let's be real, new features and impressive benchmark scores mean nothing if they don't translate to real world impact.

Here's a perfect example.

When OpenAI released their O1 model, it dominated every benchmark test against their previous version and users reported outstanding results.

So naturally, everyone should immediately switch to the newer model, right?

Well, no, the older model was still 30 times faster and cost just a third of a price.

No one would wait an entire minute for ChatGPT to edit a single email.

I've had relationships and fashion that.

So in practice, we were better off sticking with the old tool.

This confusion only gets worse when you look at the bigger picture.

Every major tech company claims to have the best AI tool and each platform offers multiple models.

And that's just for text generation.

We haven't even touched on text -to -image, text -to -video, and text -to -audio tools.

And this is how I initially fell into the tools paralysis trap.

I sort of lost the motivation to learn and use AI tools because I thought,

well, if a new tool is just gonna make this one obsolete, why bother?

Luckily for me, I came across this action plan checklist when I was taking one of Google's AI courses.

And this checklist inspired me to develop up what I call the minimum viable toolkit strategy.

Here's the core idea.

Even if every AI tool out there is incredible, which they're not, we can't possibly become proficient in all of them.

Therefore, we should ask ourselves, what's the smallest set of AI tools that will cover all my essential needs?

I'm gonna oversimplify a bit here, but in practice, this is a process I follow.

Step one, spot your recurring need.

At work, I needed a faster way to research digital advertising trends, ChatGPT hallucinated too much and Gemini Research Mode was too slow.

Step two, find your tool.

After testing both ConsenSys and Perplexity, Perplexity won me over with its speed and user friendliness.

Step three, master one tool.

I committed to using Perplexity for all my research until it became second nature.

After consistently meeting my needs, it earned a permanent spot in my toolkit.

And I even published an entire tutorial video on Perplexity, which I'll link below.

Here's a contrasting example.

Like many of you, I want a quick and reliable way to create charts for work presentations.

And I discovered Napkin AI, which promised to turn text into stunning visuals.

While I love the concept and I desperately want them to succeed, especially since the founders are ex -Googlers,

the current iteration can't produce the sophisticated graphics I need.

And so it doesn't make the cut for now.

By the way, if you want to skip the Tron error, you can just grab my free AI toolkit,

which is designed to cut through the noise and help you master essential tools and workflows.

I'll leave a link down below.

To be clear, I am not saying you should ignore every new product announcement.

I am saying that most new tools are either too specialized or too unpolished for everyday use.

The best strategy is to stay focused, identify your key needs, and slowly build out your minimum viable toolkit it.

Challenge number two, death by prompts.

Once you identify a few AI applications that fit your needs, there's still this invisible barrier that prevents you from using them consistently.

And I call this problem death by prompts.

Here's what I mean.

I have this incredible prompt that transforms my writing into clear and concise copy.

I use it for everything.

Emails, reports, YouTube scripts, pickup lines for Bumble.

I'm obviously kidding about that last one.

I don't get matches.

but there's absolutely no way I'd be using this 20 plus times a day

if I had to type it out every single time, because the friction of typing this 20 times a day is just too much.

The good news is there are two surprisingly simple solutions to this problem.

The first is to install and start using a text expander.

Check this out.

My talking points for this business planning slide is too wordy.

I copy the text, type colon colon, gpt, concise, clear, and boom, the entire prompt appears instantly.

I make a few edits, paste in my talking points, and the output is much better than what I had originally.

I personally use a paid app called Alfred, but free alternatives include Raycast for the Mac and Beef Text for Windows.

Use it every day for a week and see just how much time you save.

Moving on to strategy number two, embedding prompts directly into your workflow.

The key insight here is to organize information based on where you will use it, not where you found it.

For example, when we schedule a health checkup, the smart move is to add the no breakfast and bring ID reminders directly in the calendar event,

rather than our notes app.

The same principle applies to AI prompts.

In my case, I have a weekly calendar block where I need to summarize project updates for leadership.

Instead of trying to remember the prompt to use each time, I've included a hyperlink to a specific prompt within the calendar event description,

along with my text expander shortcut, all designed to decrease the friction as much as possible.

At this point, you might be thinking, wait, Jeff, where does that link point to?

And the answer is, all my prompts are stored in a prompts database within Notion.

This is out of scope for this video, subscribe for a full breakdown.

But what matters is having one central location for your prompts and then linking to them from your actual workflows.

Another real -world example, after every marketing campaign, we receive feedback from hundreds of clients, but the formatting is usually all over the place.

And so within my project management spreadsheet for that campaign,

I always include a link to a prompt that transforms raw feedback into a clean and consistent format.

As you can hopefully see by now, using text expanders and embedding prompts into your workflow are essential to removing all the little friction points

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that usually get in the way.

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Challenge number three, update suffocation.

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So far, we've covered strategies that help us identify useful tools and decrease the friction of using those tools.

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But every day, we still face what I call update suffocation, an overwhelming flood of information that just never stops.

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And this causes a major roadblock in our learning journey, decision fatigue.

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A colleague at Google recently said to me, Jeff, I'm not even 100 % comfortable with Gemini yet.

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And now they're announcing all these AI agent capabilities.

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Should I start learning those first or stick with prompting?

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The solution I found is a simple two -step system I call the impact loop.

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And here's how it works.

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Step one is learn.

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Unfortunately, to stay competitive, we do need to consume AI updates daily.

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But the key insight here is to be ruthlessly selective

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and just follow one to two trusted curators who consistently deliver the most important AI updates.

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If you prefer to receive updates over email, I recommend subscribing to these six popular newsletters,

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then unsubscribing from the ones you don't vibe with after a few days so you're left with one to two subscriptions.

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If you prefer listening to updates, I recommend the AI Daily Brief podcast, but I personally prefer email updates since it's just easier to take notes.

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Regardless of the consumption medium, the idea is to build a habit of spending 5 to 10 minutes a day staying current,

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because this naturally leads to step two of the impact loop, taking action.

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Block out a specific time every week, for me it's one hour every Saturday, to actually experiment with one thing you learned.

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Not everything, just one thing.

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For instance, when I read about ChatGPT's Notion integration on a Friday, I added a task reminding myself to explore this new feature.

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Come Saturday, I spent 30 minutes testing the integration and found it super helpful teaching me how to write Notion formulas.

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Another example would be when I learned that Google released an extensive prompt library, I bookmarked the webpage, added a task for myself,

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and on Saturday, I explored and tested prompts related to my work.

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As you can probably tell, the key to the impact loop strategy is consistency.

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Even if you can only spare 30 minutes a week, taking action and implementing something you've learned is infinitely more valuable than hours of passive consumption.

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So are you falling behind with AI?

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No. The real challenge isn't about catching up.

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It's about building sustainable systems.

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And by following the three strategies in this video, I promise your relationship with AI will change.

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Instead of chasing every shiny new tool, you'll build a focused toolkit that handles 80 % of your needs.

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Instead of struggling with prompts, you have them seamlessly embedded into your daily workflow.

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And instead of drowning in updates, you'll be confidently learning and implementing AI at your own pace.

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If you found this helpful, check out my AI playlist next.

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See you on the next video.

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In the meantime, have a great one.

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本课的词汇与口语要点

这节口语课以视频“You're Not Behind: Become AI-Native”为素材。视频中反复出现的词有：tool, prompt, text, update, model。这段视频共有 136 个句子、1812 个单词可供跟读。讲话部分时长为 10:05。说话人语速较快，每分钟约 180 个词，会出现较多连读和弱读。只有 78% 的单词属于英语最常用的 3,000 词，词汇难度较高。

视频中的重点词汇

视频中 15 个值得学习的单词，附发音和释义：

单词	发音	释义
friction 名词	/ˈfɹɪkʃən/	摩擦
calendar 名词	/ˈkæl.ən.də/	日曆 /日历, 曆 /历
loop 名词	/luːp/	圈, 環 /环
format 名词	/ˈfɔːɹ.mæt/	格式, 開本 /开本
helpful 形容词	/ˈhɛlp.fl̩/	有幫助 /有帮助
consumption 名词	/kənˈsʌmp.ʃən/	消費 /消费
feedback 名词	/ˈfiːdˌbæk/	反饋 /反馈, 反應 /反应
announcement 名词	/əˈnaʊns.mənt/	公告, 發表 /发表
explore 动词	/ɪkˈsploɹ/	探索, 探險 /探险
edit 动词	/ˈɛdɪt/	編輯 /编辑
integration 名词	/ˌɪn.tɪˈɡɹeɪ.ʃən/	融合, 統合 /统合
implement 动词	/ˈɪmpləmənt/	實施 /实施, 執行 /执行
insight 名词	/ˈɪnsaɪ̯t/	見地 /见地
decrease 动词	/dɪˈkɹiːs/	減少 /减少, 下降
podcast 名词	/ˈpɑdˌkæst/	播客

视频中出现的短语动词

单词	发音	释义
break down 动词		壞了 /坏了, 出故障
check out 动词		退房
make up 动词	/ˌmeɪk ˈʌp/	組成 /组成

值得反复跟读的句子

视频中简短而完整的句子，可以直接用在日常对话里：

I've had relationships and fashion that.
I'll leave a link down below.
I'm obviously kidding about that last one.
Should I start learning those first or stick with prompting?

视频中的语法

说话人最常用的结构，并附上视频中的原话：

结构	视频中的用法
现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事	has done · has been · has shown
被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的	is designed · are stored

需要注意的发音

说话人用了 28 次缩略和弱读形式，例如 don't, I'll, I'm。请按听到的简短形式来说。

“th” 音: bother /ˈbɑðɚ/, ruthlessly /ˈɹuːθ.ləs.li/
“sh” 和 “zh” 音: friction /ˈfɹɪkʃən/, benchmark /ˈbɛn(t)ʃmɑːk/, consumption /kənˈsʌmp.ʃən/, integration /ˌɪn.tɪˈɡɹeɪ.ʃən/, contrast /kənˈt(ʃ)ɹæst/
长单词——注意重音位置: consistently /kənˈsɪstəntli/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, integration /ˌɪn.tɪˈɡɹeɪ.ʃən/, experiment /ɪkˈspɛɹ.ə.mənt/, incredibly /ɪŋˈkɹɛdɪbli/

中文母语者容易读错的音：

/v/ — 不要读成 /w/，上齿轻触下唇: viable /ˈvaɪəbəl/, everyday /ˈɛvɹiˌdeɪ/, impressive /ɪmˈpɹɛsɪv/, overcome /ˌəʊ.vəˈkʌm/, motivation /ˈmoʊ.tə.veɪ.ʃən/
词尾辅音 — 要读清楚，后面不要加元音: prompt /pɹɑmpt/, loop /luːp/, benchmark /ˈbɛn(t)ʃmɑːk/, format /ˈfɔːɹ.mæt/, feedback /ˈfiːdˌbæk/
/r/ 和 /l/ 的区别: naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, explore /ɪkˈsploɹ/, regardless /ɹɪˈɡɑɹd.lɪs/, incredibly /ɪŋˈkɹɛdɪbli/, principle /ˈpɹɪn.sɪ.pəl/

如何用这段视频练习

先完整听一遍视频，不要开口，记下不认识的单词。
先用 0.75 倍速逐句跟读，熟练之后再回到正常速度。
录下自己的声音并与原声对比，特别注意 friction, calendar, loop 这类单词。

什么是跟读法？

跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。

影子跟读法: 阅读完整分步指南 →

跟读练习: You're Not Behind: Become AI-Native (without the overwhelm) - 通过视频学习英语口语

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