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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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Vocabulário e dicas de fala para esta lição

Esta aula de conversação de nível B2 usa o vídeo “Việt Nam - U.S. advanced AI partnership”. As palavras que mais se repetem: Vietnam, Vietnamese, partnership, innovation, Meta. Este vídeo tem 60 frases e 791 palavras para praticar shadowing. A fala dura 6:14. O falante mantém um ritmo estável de cerca de 127 palavras por minuto, confortável para o shadowing. Apenas 76% das palavras estão entre as 3.000 mais comuns do inglês, por isso o vocabulário é exigente.

Vocabulário principal deste vídeo

As 15 palavras mais avançadas do vídeo, com pronúncia e significado:

PalavraPronúnciaSignificado
ecosystem substantivo/ˈikoʊˌsɪstəm/ecossistema
translate verbo/tɹænzˈleɪt/traduzir, verter
deepen verbo/ˈdiːpən/aprofundar
personalize verbo/ˈpɜː.sə.nə.laɪz/personalizar
policymaker substantivodecisor político, responsável político
responsibly advérbioresponsavelmente
benchmark substantivo/ˈbɛn(t)ʃmɑːk/padrão
bilateral adjetivo/baɪˈlætəɹəl/bilateral
abundant adjetivo/əˈbʌn.dənt/abundante
participant substantivo/pɑːɹˈtɪsəpənt/participante
microwave substantivo/ˈmaɪkɹoʊˌweɪv/micro-onda
builder substantivo/ˈbɪl.dəɹ/construtor, construtora
mindset substantivo/ˈmaɪn(d)ˌsɛt/mentalidade
unlock verbo/ʌnˈlɑk/destrancar
viable adjetivo/ˈvaɪəbəl/viável

Phrasal verbs que você vai ouvir

PalavraSignificado
come up with verbopensar (em), alcançar

Gramática neste vídeo

As estruturas que o falante mais usa, com as palavras exatas do vídeo:

EstruturaNo vídeo
Voz passiva be + particípio passado — o foco está no que acontece, não em quem fazbeing recognized · are built · be done
Present perfect have/has + particípio passado — uma ação passada que ainda importa agorahas been · has been translated

Pronúncia para ficar de olho

  • Os sons de “th”: hackathon /ˈhæ.kə.θɑn/, strengthen /ˈstɹɛŋ(k)θən/
  • Os sons de “sh” e “zh”: benchmark /ˈbɛn(t)ʃmɑːk/, adoption /əˈdɑp.ʃən/
  • Palavras longas — acerte a sílaba tônica: ecosystem /ˈikoʊˌsɪstəm/, innovator /ˈɪnəˌveɪtəɹ/, personalize /ˈpɜː.sə.nə.laɪz/, bilateral /baɪˈlætəɹəl/, participant /pɑːɹˈtɪsəpənt/

Sons difíceis para falantes de português:

  • Consoante final — sem acrescentar um “i” depois: translate /tɹænzˈleɪt/, benchmark /ˈbɛn(t)ʃmɑːk/, abundant /əˈbʌn.dənt/, participant /pɑːɹˈtɪsəpənt/, foremost /ˈfɔː.məʊst/
  • /l/ final — a língua toca o céu da boca, não vira “u”: bilateral /baɪˈlætəɹəl/, viable /ˈvaɪəbəl/, protocol /ˈpɹoʊtəˌkɑl/

Como praticar com este vídeo

  1. Ouça o vídeo inteiro uma vez sem falar e anote as palavras que você não conhece.
  2. Faça shadowing frase por frase na velocidade normal, repetindo cada uma até o seu ritmo ficar igual ao do falante.
  3. Grave a sua voz e compare com o original, prestando atenção a palavras como ecosystem, translate, deepen.

O que é a Técnica de Shadowing?

Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.

Técnica de shadowing: leia o guia completo passo a passo →