跟讀練習: Sundar Pichai Reveals What AI Will Do Next - 通過影片學習英語口語

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Sometimes I'm about to go meet another CEO.

Sometimes while walking to the meeting, I'll ask Gemini, tell me what is something that could really be on his or her mind.

And I get really insightful things, and which makes for a more human connection because that's actually what they are worried about.

Google CEO Sundar Pichai isn't nearly as well known as other tech CEOs, but Google is playing a massively important role in exposing everyday people to AI tools and has the resources and talent to eventually win the AI race.

On April 8th, I went to Google headquarters to talk to Pichai about how AI is reshaping decision-making, the rise of AI assistance, and what it will take to build this technology responsibly.

You can read the rest of my interview with Pichai in Time Magazine.

Look, in some ways, we've had a mission to organize the world's information and make it universally accessible and useful.

I view AI as the most profound way we can make progress against that mission.

It's gonna be such a powerful enabler, pretty much across all walks of your life.

And so we wanna make sure we translate that into concrete, tangible benefits for billions of people.

Internally, I'm able to use our tools and query Gemini to get extraordinarily important information I need to make decisions.

In the past, I would probably wait for a couple days to get the decision.

Now it's a command away.

It's a prompt away, right?

And I've enjoyed coding.

I've enjoyed building things.

So I think it's really making me more productive in ways I couldn't have imagined before.

I think it's really going to help with decision making by bringing the right information as well as being an assistant to you as you're making these decisions.

Since the beginning of 2026, AI agents like OpenClaw have gained huge adoption with people outsourcing many parts of their lives to machines.

I asked Pichai about how agents fit into Google's future.

are trying to schedule calendar, plan dinners, throw parties, make it to their kids appointments.

You know your life has a lot of tasks and so literally where can we do more of that work and make your life 10,

20, 30, 40 percent better, easier so that you can use the time for things that matter to you, right?

And that's That's why I think the notion of personalized agents helping you across many, many things.

Can it automatically look at my inbox and tell here are the three emails I need to respond to, and here are suggested responses, which I can edit maybe.

And so those are simple examples to more complex workflows.

Always monitor what's happening in the world regarding this topic, summarize it, and bring it to me in a digestible way.

These are all examples of, and there are infinite possibilities.

People working on what we've been calling agent AI for the past couple of years.

Internally, a lot of us are using these powerful agents.

I think Open Claw kind of brought it to the hands of many people in a tangible way where people could kind of understand the change that's about to come.

So I think it was very important for that moment to happen.

But I do think the era of personalized agents, very capable agents, which are helping you with many, many things, that will play out for everyone.

And so that's the exciting phase ahead.

In general, in terms of how they are adopting the tools, we generally find that people are engaging pretty actively.

Last year we launched this thing called Nana Banana, which allowed people to create images with prompts.

We literally had over a billion images created just in a matter of days.

People around the world engaging with, expressing their creativity.

So I see people engaging with the technology, regardless of, I think people have rightfully a sense of optimism, a sense of anxiety about the whole technology space as a whole, But in terms of their day-to-day usage, I think they're engaging.

If they get that chance, they're engaging pretty heavily with these tools.

AI has an extremely low approval rating in America right now.

I asked Pachai to respond to criticism that Google is building tools people don't want.

I think there are a set of larger policy ideas.

You know, I view our role as engaging with policymakers and regulators to help them think through.

The areas which I think are much more important in the near term where we are engaged very closely, is how do we responsibly grow and meet our energy needs in a sustainable way?

Things like permitting reform, investing in new types of energy.

How do you manage the cybersecurity risks that are emerging?

How do you invest in education and reskilling the workforce?

I think those, how do you handle deep fakes?

How do we make sure we can all understand what reality is?

To us, those have felt like the more immediate efforts, and we haven't, by any means, addressed all of those areas.

So I think we have focused more as a company on engaging as well as contributing in those areas.

What would you say to some people who are scared of the idea of big tech controlling potentially the most powerful technology ever created?

Look, I think there are many, many companies pursuing this.

Even just through this AI moment, there are new companies which are what you would probably call big tech, which didn't exist three years ago.

I've never seen a space be more dynamic.

There are a variety of players, big and small, working on this technology.

There's open source.

We just released Gemma 4, which is a powerful open source model.

It's fully open source, available for anyone to use.

I do think over time, governments will be involved, given the power of this technology.

This is the kind of technology which is unlike anything before.

There is no way one company or a few companies are going to do it detached from the rest of society.

So I think we'll all have to build it and usher this next phase in a responsible way.

Like many of his peers paving the way in AI, Pichai told me he expects this new technology will need unprecedented frameworks, governance, and guardrails.

But he trusts that humanity will rise to the moment.

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本節課介紹

在本節課中，學習者將通過聽取Sundar Pichai關於AI如何改變決策過程的訪談，來練習英語聽說能力。通過深入分析這段對話，您將能夠了解當前AI技術的發展，並提升您在真實對話中使用英語的自信與流利度。這一學習過程旨在幫助您在日常生活及職業場合中，更自如地表達對AI及科技主題的看法，同時改善您的發音技巧，達到提高英語發音的效果。

關鍵詞彙與短語

AI - 人工智慧
decision-making - 決策過程
personalized agents - 個性化助手
productivity - 生產效率
engaging - 參與
feedback - 反饋
sustainable - 可持續的
Cybersecurity risks - 網路安全風險

練習技巧

進行shadow speech練習時，您可以選擇逐句朗讀Sundar Pichai的訪談內容，尤其注意他的語速與語調。您可以使用看YouTube學英語，將影片調整至慢速播放，以便更好地跟隨他的表達。建議您在聆聽的同時，停頓並模仿他的發音與語調，特別是那些強調點和重要短語。通過這樣的方式，您能夠在很大程度上提升您在實際溝通中的流利度。這種重複練習另外稱為shadowspeak，有助於內化發音和語音節奏，最終提升您的英語交流能力。

同時，記得定期進行自我反饋，可能會通過錄音的方式回顧您的發音表現，比較與原文的差異，以便找到進一步提升的空間。通過這些方法，您將能有效地提高英語發音，掌握複雜的科技主題表達，為未來的交流做好充分的準備。

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構	影片中的用法
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事	we've had · I've enjoyed · have gained
定語從句 who / which + 從句 — 補充說明人或事物	agents, which are · people who are · companies which are
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	are suggested · will be involved

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: Sundar Pichai Reveals What AI Will Do Next - 通過影片學習英語口語

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本節課介紹

關鍵詞彙與短語

練習技巧

影片中的語法

什麼是跟讀法？