शैडोइंग अभ्यास: You're Not Behind: Become AI-Native (without the overwhelm) - वीडियो के साथ अंग्रेजी बोलना सीखें

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हर मोड पूरी स्क्रीन का अभ्यास कक्ष खोलता है।

136 वाक्य

यदि वाक्य बहुत छोटे या लंबे हों, तो समायोजित करने के लिए Edit पर क्लिक करें।

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

100

that usually get in the way.

101

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

113

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

114

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

115

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.

121

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,

124

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

125

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.

132

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

133

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

134

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.

ऐप डाउनलोड करें

धाराप्रवाह बोलने के लिए ज़रूरी सब कुछ

AI उच्चारण स्कोरहर वाक्य का स्कोर

IPA अभ्यासहर ध्वनि में महारत

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शब्द गेमखेलते हुए सीखें

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उसी चैनल से

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इस पाठ की शब्दावली और बोलने के सुझाव

यह स्पीकिंग पाठ वीडियो “You're Not Behind: Become AI-Native” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: tool, prompt, text, update, model। इस वीडियो में शैडोइंग के लिए 136 वाक्य और 1812 शब्द हैं। बोला गया हिस्सा 10:05 लंबा है। वक्ता तेज़ बोलता है, लगभग 180 शब्द प्रति मिनट, इसलिए जुड़ी हुई और कमज़ोर ध्वनियाँ ज़्यादा मिलेंगी। केवल 78% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं, इसलिए शब्दावली कठिन है।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:

शब्द	उच्चारण	अर्थ
friction संज्ञा	/ˈfɹɪkʃən/	घर्षण, रगड़
calendar संज्ञा	/ˈkæl.ən.də/	कालदर्शक, पंचांग
loop संज्ञा	/luːp/	कुंडली
benchmark संज्ञा	/ˈbɛn(t)ʃmɑːk/	मानक, मापदंड
helpful विशेषण	/ˈhɛlp.fl̩/	मददगार
consumption संज्ञा	/kənˈsʌmp.ʃən/	उपभोग
feedback संज्ञा	/ˈfiːdˌbæk/	प्रतिपुष्टि, प्रतिक्रिया
announcement संज्ञा	/əˈnaʊns.mənt/	इश्तहार, घोषणा
explore क्रिया	/ɪkˈsploɹ/	अन्वेषण करना
edit क्रिया	/ˈɛdɪt/	संपादन करना
integration संज्ञा	/ˌɪn.tɪˈɡɹeɪ.ʃən/	एकीकरण
decrease क्रिया	/dɪˈkɹiːs/	घटना
podcast संज्ञा	/ˈpɑdˌkæst/	पॉडकास्ट, कोशसत्र
consume क्रिया	/kənˈsum/	उपभुक्त
colon संज्ञा	/ˈkoʊ.lən/	कोलन, अपूर्ण विराम

दोहराने लायक वाक्य

वीडियो के छोटे, पूरे वाक्य जिन्हें आप रोज़ की बातचीत में इस्तेमाल कर सकते हैं:

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?

इस वीडियो का व्याकरण

वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:

संरचना	वीडियो में
Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है	has done · has been · has shown
Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है	is designed · are stored

ध्यान देने योग्य उच्चारण

वक्ता 28 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे don't, I'll, I'm। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

“th” की ध्वनियाँ: bother /ˈbɑðɚ/, ruthlessly /ˈɹuːθ.ləs.li/
“sh” और “zh” की ध्वनियाँ: friction /ˈfɹɪkʃən/, benchmark /ˈbɛn(t)ʃmɑːk/, consumption /kənˈsʌmp.ʃən/, integration /ˌɪn.tɪˈɡɹeɪ.ʃən/, contrast /kənˈt(ʃ)ɹæst/
लंबे शब्द — बलाघात सही रखें: consistently /kənˈsɪstəntli/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, integration /ˌɪn.tɪˈɡɹeɪ.ʃən/, experiment /ɪkˈspɛɹ.ə.mənt/, incredibly /ɪŋˈkɹɛdɪbli/

हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:

/v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: viable /ˈvaɪəbəl/, everyday /ˈɛvɹiˌdeɪ/, impressive /ɪmˈpɹɛsɪv/, overcome /ˌəʊ.vəˈkʌm/, motivation /ˈmoʊ.tə.veɪ.ʃən/
/z/ — इसे “ज” (/dʒ/) न बनाएँ: newsletter /ˈn(j)uzˌlɛtɚ/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, invisible /ɪnˈvɪzəb(ə)l/, surprisingly /səˈpɹaɪzɪŋli/, organize /ˈɔɹɡənaɪz/
शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: script /skɹɪpt/, slide /ˈslaɪ̯d/, spare /spɛɚ/, scope /skəʊp/, skip /skɪp/

इस वीडियो से अभ्यास कैसे करें

पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
0.75× गति से शुरू करें, एक-एक वाक्य की शैडोइंग करें, और सहज लगने पर सामान्य गति पर लौटें।
अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर friction, calendar, loop जैसे शब्दों पर ध्यान दें।

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →

शैडोइंग अभ्यास: You're Not Behind: Become AI-Native (without the overwhelm) - वीडियो के साथ अंग्रेजी बोलना सीखें

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इस पाठ की शब्दावली और बोलने के सुझाव

इस वीडियो की मुख्य शब्दावली

दोहराने लायक वाक्य

इस वीडियो का व्याकरण

ध्यान देने योग्य उच्चारण

इस वीडियो से अभ्यास कैसे करें

शैडोइंग तकनीक क्या है?