Prática de Shadowing: Did the AI bubble just pop? - Aprenda a falar inglês com vídeo

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just three weeks ago, it felt like nothing could go wrong.
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SpaceX was up 7 % in a day,
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every tech CEO in America was on stage explaining why they needed another $100 billion to decimate farmland in rural America,
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and Jensen Wong was telling anyone who'd listen that demand for AI chips was insatiable.
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But since then, the market took a dump.
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Meta created an entirely new class of non -voting stock just to pay for GPUs,
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while Microsoft offered a quarter of its employees money to leave so it can afford more of them.
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Elon predicted that 200 NeoClouds are about to experience Guppy -level death, and CoreWeave, a former Ethereum mining operation
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that became the poster boy of reckless AI spending after they pivoted into renting NVIDIA GPUs back to NVIDIA,
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is now worth a third of what it was at the beginning of the month.
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And then on Monday, Anthropic filed to go public, which showed that between January and when the government banned Fable back in June,
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they lost more money than the annual GDP of over half the countries on Earth.
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So naturally, the question on everyone's mind is, are we finally cooked?
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In today's video, we'll break down the roughest three weeks in the history of AI,
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find out what a neocloud is and why Elon wants them dead, and we'll analyze Anthropics financials in their Trust Me Bro S1.
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It is October 28th, 2026, and you're watching the Code Report.
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Before we can talk about the AI bubble, you need to understand how a GPU actually gets paid for.
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And to do that, here's me in a bubble bath to explain.
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First, NVIDIA makes a GPU that they need to sell.
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The problem is the GPU is expensive and you don't have enough money to buy it.
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So NVIDIA says, hey, we have money
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and we'll give it to you as long as you give us a portion of your company
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and use the money we give you to buy our GPUs.
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But NVIDIA's money only covers a fraction of what you need.
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So you go to Wall Street and borrow the rest by putting up the GPU you haven't bought yet as collateral.
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Now normally, a bank wouldn't lend to you with a depreciating pile of chips as collateral,
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but NVIDIA has promised that if nobody rents the GPUs they give you, they'll rent them themselves.
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So NVIDIA's money gets used to buy NVIDIA GPUs that eventually get rented back to NVIDIA, which makes NVIDIA's stock go up,
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which it uses to invest in more companies, which borrow more money to buy more NVIDIA GPUs, which keeps the good times going.
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On Wall Street, they called this a circular financing arrangement, and back in college, we'd call it a s*.
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The most popular company eating this forbidden fruit is CoreWeave, but NVIDIA has done it with a few other companies as well.
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And to be honest, it works pretty well as long as the chips rent for more than they depreciate.
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The labs keep buying, and someone keeps lending you money to buy more chips.
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But three weeks ago, the third one stopped being true when it was discovered that CoreWeave, after it borrowed $52 billion to buy chips,
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was now paying 15 % interest on that debt.
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Then on Sunday night, Elon chimed in, saying that debt markets have almost entirely shut off for any company whose only revenue is AI data centers,
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and that he expects 200 plus of these neocloud type companies to die.
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But conveniently, SpaceX is fine, because it also happens to sell rockets.
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And right in the middle of all this, Anthropic decided to ask the public for $100 billion at a valuation
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that would make it worth more than 492 out of the 500 companies in the S &P 500,
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with 4 out of those 7 remaining companies being where they rent their compute from
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and happen to owe $265 billion to through 2045.
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The S1 itself is 330 pages long, with 90 of those being risk factors to the company, which is the fun part.
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In it, Anthropic admits that everything we've already covered over the last few months is true, including Mythos being allergic to its sandbox,
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Claude Haiku filing a fake homicide tip through the Philadelphia Police Department's website,
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and a Chinese state -sponsored group using Claude code to attack banks and government agencies.
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The filing also says that Claude now uses itself to improve itself,
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and that they might not notice their models getting significantly smarter until after it's already happened.
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Their guiding principle, according to the foreword, is to under -promise and over -deliver,
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which is a little worrisome for a company whose head of alignment was quoted just last month,
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saying he thinks there's a greater than 10 % chance that AI kills all humans within the next decade.
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So are we cooked?
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Well, as always, it depends.
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It's not looking great
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if your whole business model is borrowing money from one company just to give it right back to them.
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But it's hard to call AI a bubble the day after
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OpenAI claims one of its models disproved a 27 -year -old conjecture that half of complexity theory is built on.
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But thankfully, as developers, things are actually looking pretty decent right now, since every one of these companies are fighting to sell us subsidized tokens.
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Akimi just dropped an open model within a point of Opus at half the price that we talked about yesterday,
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and the GPU score we financed should be on eBay any week now.
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And if you'd like to be one of the people profiting from the exit liquidity instead of providing it,
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you can put those subsidized tokens to work with HyperAgent, the sponsor of today's video.
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If you're already paying for ChatGPT, you can now use that plan to sign into HyperAgent
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and hire a team of agents without setting up yet another AI subscription.
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Right now, I'm using it to work on a v4 release of a date library I'm contributing to.
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So I set up a HyperAgent room, which is basically a Slack channel where all my agents and human co -maintainers can work together.
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I've got one agent triaging new issues as they come in another one drafting pull requests for new features, and a third one writing the changelog.
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They all work in parallel and hand things off to each other, and only ping a human when something needs approval.
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And anyone on a team can jump in to ask questions or make changes whenever they want, instead of routing everything through me.
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Sign in with your existing ChatGPT plan to try it out at the link below.
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This has been The Code Report, thanks for watching, and I will see you in the next one.

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Vocabulário e dicas de fala para esta lição

Esta aula de conversação usa o vídeo “Did the AI bubble just pop?”. As palavras que mais se repetem: Gpu, Nvidia, companies, chips. Este vídeo tem 71 frases e 1128 palavras para praticar shadowing. A fala dura 5:22. O falante fala rápido, cerca de 210 palavras por minuto, então espere sons ligados e reduzidos. Apenas 81% das palavras estão entre as 3.000 mais comuns do inglês, por isso o vocabulário é exigente.

Vocabulário principal deste vídeo

15 palavras do vídeo que vale a pena aprender, com pronúncia e significado:

PalavraPronúnciaSignificado
chip substantivo/t͡ʃɪp/lasca, fragmento
bubble substantivo/ˈbʌbəl/bolha, borbulha
borrow verbo/ˈbɑɹ.oʊ/emprestar, tomar emprestado
sponsor substantivo/ˈspɒn.səː/patrocinador
lend verbo/ˈlɛnd/emprestar
token substantivo/ˈtoʊkən/símbolo, sinal
collateral substantivo/kəˈlætəɹəl/garantia
naturally advérbio/ˈnæt͡ʃ.(ə.)ɹə.li/naturalmente
bath substantivo/bɑːθ/banheira
decent adjetivo/ˈdiː.sənt/digno
hire verbo/ˈhaɪɹ/contratar, alugar
discover verbo/dɪˈskʌvə/descobrir
exit substantivo/ˈɛɡzət/saída
contribute verbo/kənˈtɹɪb.jut/contribuir
principle substantivo/ˈpɹɪn.sɪ.pəl/princípio

Phrasal verbs que você vai ouvir

PalavraPronúnciaSignificado
set up verbo/ˌsɛt ˈʌp/preparar
find out verbodescobrir
go up verbosubir
put up verboafixar

Gramática neste vídeo

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

EstruturaNo vídeo
Present perfect have/has + particípio passado — uma ação passada que ainda importa agorahaven't bought · has promised · has done
Voz passiva be + particípio passado — o foco está no que acontece, não em quem fazwas discovered · was quoted · is built
Orações relativas who / which + oração — informação extra sobre uma pessoa ou coisaNVIDIA, which makes · company, which is · room, which is

Pronúncia para ficar de olho

O falante usa 16 contrações e formas reduzidas, como we'll, I'm, you're. Diga-as na forma curta, do jeito que você ouve.

  • Os sons de “sh” e “zh”: subscription /səbˈskɹɪpʃən/, fraction /ˈfɹæk.ʃən/, valuation /ˌvæ.ljuːˈeɪ.ʃən/, depreciate /dəˈpriʃiˌeɪt/, insatiable /ɪnˈseɪʃ(j)əbəl/
  • Palavras longas — acerte a sílaba tônica: collateral /kəˈlætəɹəl/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, developer /dɪˈvɛləpɚ/, complexity /kəmˈplɛk.sɪ.ti/, valuation /ˌvæ.ljuːˈeɪ.ʃən/

Sons difíceis para falantes de português:

  • Consoante final — sem acrescentar um “i” depois: chip /t͡ʃɪp/, lend /ˈlɛnd/, lab /læːb/, decent /ˈdiː.sənt/, exit /ˈɛɡzət/
  • /l/ final — a língua toca o céu da boca, não vira “u”: bubble /ˈbʌbəl/, collateral /kəˈlætəɹəl/, principle /ˈpɹɪn.sɪ.pəl/, parallel /ˈpæ.ɹəˌlɛl/, pile /paɪl/
  • /h/ — um sopro suave, diferente do “r”: hire /ˈhaɪɹ/, homicide /ˈhɑ.məˌsaɪ̯d/

Como praticar com este vídeo

  1. Ouça o vídeo inteiro uma vez sem falar e anote as palavras que você não conhece.
  2. Comece na velocidade 0,75×, faça shadowing frase por frase e volte à velocidade normal quando ficar fácil.
  3. Grave a sua voz e compare com o original, prestando atenção a palavras como chip, bubble, borrow.

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 →