Shadowing Practice: Việt Nam - U.S. advanced AI partnership | Vietnam Today - Learn English Speaking with Video
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The Vietnam AI Innovation Challenge 2026 officially kicked off on Friday,
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bringing together policymakers, technology companies and AI innovators from Vietnam
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and the United States to develop the next generation of AI native applications.
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Beyond the competition,
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the event reflects a broader shift in bilateral cooperation as artificial intelligence becomes a strategic focus of the Vietnam-U.S comprehensive strategic partnership.
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The Vietnam AI Innovation Challenge 2026 attracted more than 2,500 participants in 300 teams,
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competing in a 48-hour hackathon to build AI-native solutions for real-world challenges.
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Backed by Meta and other strategic partners,
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the challenge gives winning teams the opportunity to continue their journey at the Vietnam AI Stars Global Finals in Silicon Valley,
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connecting Vietnamese innovators with the global AI ecosystem.
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The work, the collaboration that Meta is doing in Vietnam is being recognized and featured in the region.
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And for those leading team champions from this AI hackathon,
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they are having opportunities to continue their research in Sweden,
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in Singapore, and in the Silicon Valley.
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The United States is ready to work with any promising partner in the Indo-Pacific to strengthen and build partnerships in digital transformation.
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This presents a tremendous opportunity for Vietnam.
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Partnerships are also becoming more practical.
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One example is VGen, a joint initiative by Meta, the National Innovation Center, and AI for Vietnam.
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By developing open source datasets and evaluation benchmarks, the project aims to help AI systems better understand Vietnamese language,
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regional dialects, and cultural context.
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And building a competitive AI ecosystem takes more than technology and data.
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Vietnam, we have a really incredible technical depth builder.
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But for many, the missing part has been the Silicon Valley mindset.
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We want to bring Vietnamese AI talent to compete with the world's best.
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As Vietnam moves up the AI value chain, experts say success will depend on combining local talent with global partnerships turning innovation into products
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that are built in Vietnam and competitive worldwide.
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As Vietnam and the United States deepen their AI partnership,
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the focus is shifting from technology adoption to innovation co-creation.
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But what gives Vietnam that potential and what still needs to be done for the Vietnam-US AI partnership to deliver lasting impact?
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To explore these questions, our reporter Tết Lâm spoke with Ms. Thao Griffiths, Regional Public Policy Head at MEDA.
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Thao Griffiths for joining us on an interview with Vietnam Today.
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Thank you.
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It's a great honor to be interviewed by Vietnam Today.
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And for the first question, Meta and Vietnam has been working closely in terms of AI training programs and support for the innovation ecosystem.
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So from Meta's perspective, what makes Vietnam a promising market in AI development in the region?
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I would say immediately, first and foremost,
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is the young and abundant Vietnamese talents in technology and particularly in AI.
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In a recent survey, it shows that 93% of Vietnamese businesses are using AI for their businesses.
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And in also the latest survey by Deloitte, it shows that 86% of small,
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medium and micro Vietnamese companies are using AI tools for their personalized advertising campaign.
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In order to access better markets, engage more effectively with customers and users,
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that really goes to show how AI has been translated from potential,
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from promise into revenue for Vietnamese businesses.
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You can really see how these things will translate into viable solutions that can help to improve the public sector
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and also the business operations.
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So what still needs to be done to fully unlock the potential of AI collaboration between the US and Vietnam?
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I think from Meta, in our five years of working very closely with NIC,
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we managed to develop what we see as an ideal partnership.
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What we could do, should do, and must do in the coming years is how to really utilize that partnership
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so that everybody can play the role to help these Vietnamese talents
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can work hand-in-hand with Vietnamese businesses to come up with solutions for Vietnamese people.
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As AI expands rapidly, governance and trust are becoming just as important as innovation.
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So in the years ahead, what should Vietnam and the U.S do to ensure that AI remains responsible and inclusive?
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We are working very closely with the US government, obviously, and Vietnamese government, and with our partners to make sure
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that we not only provide AI tools that are easy to use,
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but also making sure that these tools protect the privacy of users and also they can use it responsibly.
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We developed all these protocols,
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we put together in the resource center and make it publicly available in all languages, including Vietnamese languages.
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Thank you so much for your insights and once again thank you for joining us on Vietnam Today.
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Thank you.
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Vocabulary and speaking notes for this lesson
This B2 speaking lesson is built on the video “Việt Nam - U.S. advanced AI partnership”. The speaker keeps coming back to these words: Vietnam, Vietnamese, partnership, innovation, Meta. This video has 60 sentences and 791 words to shadow. The speech runs for 6:14. The speaker talks at a steady 127 words per minute, a comfortable pace for shadowing. Only 76% of the words are among the 3,000 most common in English, so the vocabulary is demanding.
Key vocabulary in this video
The 15 most advanced words in the video, with pronunciation and meaning:
| Word | Pronunciation | Meaning |
|---|---|---|
| ecosystem noun | /ˈikoʊˌsɪstəm/ | A system formed by an ecological community and its environment that functions as a unit. |
| hackathon noun | /ˈhæ.kə.θɑn/ | An event where programmers and others meet for collaborative software development, usually over several days. |
| innovator noun | /ˈɪnəˌveɪtəɹ/ | Someone who innovates; a creator of new ideas. |
| translate verb | /tɹænzˈleɪt/ | To change spoken words or written text (of a book, document, movie, etc.) from one language to another. |
| deepen verb | /ˈdiːpən/ | To make deep or deeper |
| personalize verb | /ˈpɜː.sə.nə.laɪz/ | To adapt something to the needs or tastes of an individual. |
| policymaker noun | One involved in the formulation of policies, especially politicians, lobbyists, and activists. | |
| responsibly adverb | In a responsible manner. | |
| benchmark noun | /ˈbɛn(t)ʃmɑːk/ | A standard by which something is evaluated or measured. |
| bilateral adjective | /baɪˈlætəɹəl/ | Having two sides. |
| utilize verb | /ˈjuː.tɪ.laɪz/ | US, Canada, and Oxford British English standard spelling of utilise. |
| abundant adjective | /əˈbʌn.dənt/ | Fully sufficient; found in copious supply; in great quantity; overflowing. |
| participant noun | /pɑːɹˈtɪsəpənt/ | One who participates. |
| foremost adjective | /ˈfɔː.məʊst/ | Positioned in front of (all) others in space, most forward. |
| microwave noun | /ˈmaɪkɹoʊˌweɪv/ | An electromagnetic wave with wavelength between that of infrared light and radio waves. |
Phrasal verbs you will hear
| Word | Meaning |
|---|---|
| bring together verb | To cause people to do something together; to bring about togetherness. |
| come up with verb | To manage to produce, deliver, or present (something) by inventing, creating, thinking of, or obtaining it. |
| move up verb | To promote, put onto a higher level. |
Grammar in this video
The structures the speaker uses most, with the exact words from the video:
| Structure | In the video |
|---|---|
| Passive voice be + past participle — the focus is on what happens, not who does it | being recognized · are built · be done |
| Present perfect have/has + past participle — a past action that still matters now | has been · has been translated |
Pronunciation to watch
- The “th” sounds: hackathon /ˈhæ.kə.θɑn/, strengthen /ˈstɹɛŋ(k)θən/
- The “sh” and “zh” sounds: benchmark /ˈbɛn(t)ʃmɑːk/, adoption /əˈdɑp.ʃən/
- Long words — get the stress right: ecosystem /ˈikoʊˌsɪstəm/, innovator /ˈɪnəˌveɪtəɹ/, personalize /ˈpɜː.sə.nə.laɪz/, bilateral /baɪˈlætəɹəl/, participant /pɑːɹˈtɪsəpənt/
How to practise with this video
- Listen to the whole video once without speaking and note the words you do not know.
- Shadow it sentence by sentence at normal speed, repeating each one until your rhythm matches the speaker.
- Record yourself and compare with the original, paying attention to words like ecosystem, hackathon, innovator.
What is the Shadowing Technique?
Shadowing is a science-backed language learning technique originally developed for professional interpreter training and popularized by polyglot Dr. Alexander Arguelles. The method is simple but powerful: you listen to native English audio and immediately repeat it out loud — like a shadow following the speaker with just a 1–2 second delay. Unlike passive listening or grammar drills, shadowing forces your brain and mouth muscles to simultaneously process and reproduce real speech patterns. Research shows it significantly improves pronunciation accuracy, intonation, rhythm, connected speech, listening comprehension, and speaking fluency — making it one of the most effective methods for IELTS Speaking preparation and real-world English communication.