Prática de Shadowing: Claude Just Revealed AI's Biggest Problem - Aprenda a falar inglês com o YouTube
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For thousands of years, humans have built tools to make hard things easier.
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For thousands of years, humans have built tools to make hard things easier.
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A hammer does not make you worse at building.
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But is AI different?
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Because AI helps your brain, not your hands.
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And that raises an uncomfortable question.
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What happens to the skills we outsource?
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Is AI brain rot real?
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What should we do?
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Well, I see a big difference in the media headlines and actual real-world studies.
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So, let's see an actual experiment with a group of 52 junior software engineers split into two groups,
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one that used AI for coding and one that didn't.
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I have two questions here and the results on both kind of surprised me.
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1. Did AI make them faster?
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Well, the AI group finished their tasks a good two minutes, or about 8% faster.
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So, they had time to watch a 2 minute papers episode.
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Which is never 2 minutes.
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But then, wait a second, the result is not statistically significant.
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I'll downgrade this a bit, so did AI make people code faster?
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Maybe.
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Now, second question, did the AI make them dumber?
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Now, hold on to your papers, fellow scholars, because the answer is, kinda yes.
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After having them take a quiz, we get 50% for the AI people, and 67% for the no AI people.
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Whew, that is almost a too great difference.
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Huge difference!
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And this is statistically significant.
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So this one would be much harder to dismiss as noise.
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I gotta say, this is a fairly large effect for such a smaller study.
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So where is the largest gap?
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The AI group really underperforms, when exactly?
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Well, in debugging.
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Yes, you get an AI to write a piece of code, and at some point, there will be a problem.
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And if you rely on the AI too much, sooner or later, you will lose the capability to fix something that goes wrong.
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I would be careful with that.
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And I find this study informative because it tells you how much worse it is and in what areas.
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So, what should you do going forward?
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Well, in my opinion, three things.
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Dear Fellow Scholars, this is Two Minute Papers with Dr. Károly Zsolnai-Fehér.
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1. If you use AI, use it mainly for automating and speeding up things you already understand.
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It is excellent for that.
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2. For things you don't know yet.
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Ask questions.
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Keep your mind sharp.
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That is the way of the scholar.
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3. When something breaks, don't just ask the AI to fix it.
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No, first try it yourself.
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Then, have it explain to you what you missed.
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You will learn so much more.
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We are scholars here, so let's be measured.
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This is not an ultimate study.
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No, this is not the final word on this question.
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This is 52 mostly junior developers, one Python library, one short task, and one quiz.
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Oh, and it has a chat-style assistant, not a full agentic coding system.
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Which would probably make this kind of difference even larger.
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So, plenty of limitations apply, but as a pointer, I feel it is quite valuable.
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TLDR, if you use AI as a tutor, it will sharpen your mind.
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I use Lambda to reproduce AI research papers, often in minutes.
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It's also great to train your own models or fine-tune an existing one.
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Run inference or text to image or video, easy peasy.
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Running a DeepSeek chatbot or agent, super fast, super reliable.
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Lambda gives you powerful Nvidia GPUs to run your own experiments.
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I test ideas from the papers I cover, and moments later, results!
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Love it!
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Seriously, try it out now at lambda.ai.papers.
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Sobre esta lição
Você está praticando inglês com "Claude Just Revealed AI's Biggest Problem" usando a técnica de Shadowing.
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.