쉐도잉 연습: Nvidia’s financing web raises new risks after Jensen Huang’s exit - 영상으로 영어 말하기 배우기

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The resignation of NVIDIA founder and CEO Jensen Wang sets up a test for the U .S economy.
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Jensen Wang was a co -founder of this company, has been the only CEO to ever lead this company,
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and the stock has suffered greatly over the course of this last week.
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California -based chip maker NVIDIA is at the heart of the AI boom.
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Reports of CEO Jensen Wang's affair with a woman allegedly recruited
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by Chinese intelligence agents added to a sour month for the broader technology sector.
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In the months leading up to this moment, central bankers and regulators began to openly wonder, is the AI industry becoming too big to fail?
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NVIDIA has an estimated $400 billion in commitments to various companies within the AI ecosystem.
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The beneficiaries include
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Frontier AI Labs, private equity firms, banks, and cloud computing providers.
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Take, for example, the Frontier AI Labs.
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These are companies that build large language models.
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Those LLMs rely on NVIDIA's graphic processing units to run the massive sets of calculations that deliver artificial intelligence.
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In August, Wang estimated that an AI agent could use 15 to 100 times more computing power than a typical human user.
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Estimates like that have led to a rush of financing, permitting, and construction of new data centers.
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NVIDIA in August told investors that it's put nearly $50 billion into these frontier labs to assist with further AI infrastructure projects.
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NVIDIA also partnered with major asset managers, including Apollo, BlackRock, and Brookfield,
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in a bid to raise up to $500 billion in financing for further infrastructure build -outs.
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NVIDIA has disclosed guarantee arrangements with OpenAI, but hasn't named other labs in a public capacity.
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However, the company acknowledged that virtually all the major closed models rely on NVIDIA hardware.
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NVIDIA is also backstopping some $36 billion in cloud computing operations, also known as neoclouds.
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NVIDIA didn't name its specific partners, but some neoclouds, including CoreWeave and iREN, have separately disclosed their relationships with NVIDIA.
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In relevant partnerships, NVIDIA creates agreements that give lenders the confidence to underwrite the project.
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They have been a great partner for us for years, and they will continue to be a great partner for us.
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Bank regulators don't believe that this moment for Jensen -Wang
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or NVIDIA resembles anything like a rerun of the 2007 -2008 financial crisis, but if things do turn out the worst for NVIDIA,
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the global economy could bear the cost.
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In September, well ahead of the revelations regarding
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Wong, Kansas City Fed President Jeff Schmid raised the question of whether this risks moving to a too -big -to -fail ecosystem.
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One economist I spoke to, Jason Wu at the International Monetary Fund, said both the economy and the financial markets are standing on the same leg,
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which means the drawdown could have reinforcing effects between the two.
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Thank you.

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이 레슨의 어휘와 말하기 포인트

이 말하기 레슨은 영상 “Nvidia’s financing web raises new risks after Jensen Huang’s exit”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: Nvidia, Jensen, labs, Wang, billion. 이 영상에는 섀도잉할 문장 32개와 단어 468개가 있습니다. 말하는 구간의 길이는 2:45입니다. 화자는 분당 약 170단어로, 일상 대화에 가까운 자연스러운 속도로 말합니다. 영어에서 가장 많이 쓰이는 3,000단어에 속하는 단어가 69%뿐이라 어휘가 어려운 편입니다.

이 영상의 핵심 어휘

영상에 나오는 익혀 둘 만한 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어발음뜻
frontier 명사/ˈfɹʌntɪə/경계, 국경
cloud 명사/ˈklaʊ̯d/구름
founder 명사/ˈfaʊ̯n.dəː/창설자, 설립자
infrastructure 명사/ˈɪnfɹəˌstɹʌkt͡ʃə/기반시설, 기간시설
rely 동사/ɹɪˈlaɪ/의지(依支)하다
disclose 동사/dɪsˈkləʊz/밝히다, 폭로하다
ecosystem 명사/ˈikoʊˌsɪstəm/생태계
regulator 명사/ˈɹɛɡ.ju.leɪ.tɚ/조절기
partnership 명사/ˈpɑɹtnɚʃɪp/파트너십
suffer 동사/ˈsʌfɚ/괴로와하다, 시달리다
guarantee 명사/ˌɡæɹ.ənˈtiː/보증
assist 동사/əˈsɪst/돕다
chip 명사/t͡ʃɪp/칩
affair 명사/əˈfɛɹ/사건
hardware 명사/ˈhɑɹdˌwɛɹ/하드웨어, 굳은모

주의할 발음

화자는 didn't, don't, hasn't 같은 축약형과 약화된 형태를 3번 사용합니다. 들리는 대로 짧게 발음하세요.

  • “sh”와 “zh” 소리: partnership /ˈpɑɹtnɚʃɪp/, rush /ɹʌʃ/, artificial /ˌɑː.tɪˈfɪʃ.əl/, resignation /ˌɹɛz.ɪɡˈneɪ.ʃən/, revelation /ˌɹɛv.əˈleɪ.ʃən/
  • 긴 단어 — 강세 위치에 주의: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, ecosystem /ˈikoʊˌsɪstəm/, regulator /ˈɹɛɡ.ju.leɪ.tɚ/, virtually /ˈvɚ.t͡ʃə.wə.li/, artificial /ˌɑː.tɪˈfɪʃ.əl/

한국어 화자가 어려워하는 소리:

  • /f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: frontier /ˈfɹʌntɪə/, founder /ˈfaʊ̯n.dəː/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, suffer /ˈsʌfɚ/, affair /əˈfɛɹ/
  • /v/ — ㅂ(/b/)과 구별하기: virtually /ˈvɚ.t͡ʃə.wə.li/, provider /pɹəˈvaɪ.də(ɹ)/, investor /ɪnˈvɛs.tə(ɹ)/, revelation /ˌɹɛv.əˈleɪ.ʃən/
  • /z/ — ㅈ이 아니라 성대를 울리는 /s/: disclose /dɪsˈkləʊz/, resignation /ˌɹɛz.ɪɡˈneɪ.ʃən/, resemble /ɹɪˈzɛmbəl/

이 영상으로 연습하는 방법

  1. 먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
  2. 0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
  3. 자신의 목소리를 녹음해 원본과 비교하고, frontier, cloud, founder 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

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