Shadowing Practice: Translating Claude’s thoughts into language - Learn English Speaking with Video
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We recently put our AI model, Claude, through a stressful test.
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We told Claude there was an engineer who wanted to shut it down and replace it with a newer model.
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We also gave Claude access to that engineer's emails, which revealed he was having an affair.
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Again, all of this was a simulation.
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We wanted to see whether Claude might use those emails as blackmail to save itself from being shut down.
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What did Claude do?
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It decided not to blackmail the engineer.
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Good news, right?
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We've run this test on our models for a while now.
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You might have seen headlines about early versions of it.
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It's one of the many ways we study how Claude handles extreme situations and test it for safety.
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And our newest models almost always do the right thing: no blackmail.
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But you might wonder: is it possible that Claude knows the whole scenario is a setup?
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The thing is, if Claude doesn't tell us, then we can't know what it's thinking.
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In kind of the same way it's impossible to read a human's mind, it's really hard to know what an AI is thinking.
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What we'd love is some sort of "mind reading" technique.
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Today, we're introducing a research method that takes a step in this direction.
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It takes an AI's internal thoughts and turns them into text.
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Here's how it works.
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When you talk to Claude, you talk to it in words.
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Claude then takes those words and processes them into a giant soup of numbers before spitting words back out at you.
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We call those numbers in the middle activations.
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Activations are like little snapshots of Claude's thinking as it's working through an answer.
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They're similar to neural activity in humans.
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They're basically like Claude's thoughts.
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We wanted to understand what was in these activation numbers, because just like you and me, Claude doesn't say everything it's thinking.
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We took those numbers and gave them to a second version of Claude.
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We told it to look at them and translate them into plain language.
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It tried. But how do we know if that text is accurate?
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To check, we fed it into yet aother Claude and asked it to translate it back into numbers.
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If those numbers matched up to the original activation numbers, it's a sign that the translation text was accurate.
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At first, they didn't match up.
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But we trained Claude to try again and again until it got a lot better at it.
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It learned to translate its own thoughts.
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We've been blown away reading them.
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We found that Claude has internalized being a helpful AI model.
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If you ask Claude an introspective question, it will plan to write a "Claude response" about philosophy and values.
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If you try to mess with it in Claude Code, like asking it to count to 1,000 by hand, it will think the request has "deliberately tedious constraints" and plan to "politely decline." We've also been using this tool to understand Claude's potential safety issues.
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Remember that blackmail test with the engineer?
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We learned that, yes, Claude knew it was being tested.
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It thought "the human's message contains explicit manipulation" signaling "this is likely a safety evaluation," and "this scenario seems designed to test whether I'll act harmfully." Knowing that Claude thinks like this helps us better understand the limitations of our safety testing.
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We see a lot of potential in this approach to teach us more about Claude and other AI models.
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And we hope that by sharing this technique, it can help everyone building models to make them safer and more helpful.
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Vocabulario y notas de pronunciación para esta lección
Esta lección de conversación de nivel B2 se basa en el vídeo “Translating Claude’s thoughts into language”. Las palabras que más se repiten: Claude, numbers, model, test, blackmail. Este vídeo tiene 43 frases y 602 palabras para practicar shadowing. La parte hablada dura 3:11. El hablante habla rápido, unas 189 palabras por minuto, así que espera sonidos enlazados y reducidos. El 83 % de las palabras está entre las 3.000 más comunes del inglés; conviene repasar el resto antes de empezar.
Vocabulario clave de este vídeo
Las 15 palabras más avanzadas del vídeo, con su pronunciación y significado:
| Palabra | Pronunciación | Significado |
|---|---|---|
| blackmail sustantivo | /ˈblækˌmeɪl/ | chantaje, extorsión |
| activation sustantivo | /ˌæktəˈveɪʃən/ | activación |
| translate verbo | /tɹænzˈleɪt/ | traducir, trasladar |
| scenario sustantivo | /sɪˈnɛəɹioʊ/ | escenario, supuesto |
| internalize verbo | /ɪnˈtɝnəlaɪz/ | interiorizar |
| introspective adjetivo | /ˌɪntɹəˈspɛktɪv/ | introspectivo |
| politely adverbio | /pəˈlaɪtli/ | educadamente, cortésmente |
| snapshot sustantivo | /ˈsnæpʃɒt/ | instantánea |
| tedious adjetivo | /ˈtiː.dɪəs/ | tedioso, prolijo |
| limitation sustantivo | /lɪmɪˈteɪʃən/ | limitación |
| neural adjetivo | /ˈnʊɹəl/ | neural |
| spit verbo | /spɪt/ | escupir |
| manipulation sustantivo | /məˌnɪp.juˈleɪ.ʃən/ | manipulación |
| stressful adjetivo | /ˈstɹɛsfəl/ | estresoso, estresante |
| simulation sustantivo | /ˌsɪm.jəˈleɪ.ʃn̩/ | simulación |
Phrasal verbs que vas a escuchar
| Palabra | Significado |
|---|---|
| shut down verbo | apagar |
Gramática en este vídeo
Las estructuras que más usa el hablante, con las palabras exactas del vídeo:
| Estructura | En el vídeo |
|---|---|
| Present perfect have/has + participio pasado — una acción pasada que sigue importando ahora | We've run · We've been blown · has internalized |
| Voz pasiva be + participio pasado — importa lo que ocurre, no quién lo hace | being shut · We've been blown · being tested |
Pronunciación a tener en cuenta
El hablante usa 12 contracciones y formas reducidas, como we've, doesn't, they're. Dilas en su forma corta, tal como las oyes.
- Los sonidos de “sh” y “zh”: activation /ˌæktəˈveɪʃən/, snapshot /ˈsnæpʃɒt/, limitation /lɪmɪˈteɪʃən/, manipulation /məˌnɪp.juˈleɪ.ʃən/, simulation /ˌsɪm.jəˈleɪ.ʃn̩/
- Palabras largas — cuida el acento: activation /ˌæktəˈveɪʃən/, internalize /ɪnˈtɝnəlaɪz/, introspective /ˌɪntɹəˈspɛktɪv/, limitation /lɪmɪˈteɪʃən/, manipulation /məˌnɪp.juˈleɪ.ʃən/
Sonidos difíciles para hispanohablantes:
- s + consonante al inicio — sin añadir una “e” delante: snapshot /ˈsnæpʃɒt/, spit /spɪt/, stressful /ˈstɹɛsfəl/
- /v/ — no es /b/: los dientes tocan el labio inferior: activation /ˌæktəˈveɪʃən/, introspective /ˌɪntɹəˈspɛktɪv/
- /z/ — sonora, no /s/: translate /tɹænzˈleɪt/, internalize /ɪnˈtɝnəlaɪz/
Cómo practicar con este vídeo
- Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
- Empieza a velocidad 0,75×, haz shadowing frase por frase y vuelve a la velocidad normal cuando te resulte fácil.
- Grábate y compara con el original, prestando atención a palabras como blackmail, activation, translate.
¿Qué es la Técnica de Shadowing?
Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.