Pratique du Shadowing: The different levels of how Claude thinks - Apprendre l'anglais à l'oral avec la vidéo
Choisissez un mode d'entraînement
Chaque mode ouvre une salle d'entraînement en plein écran.
58 phrases
Si les phrases sont trop courtes ou trop longues, cliquez sur Edit pour les ajuster.
1
Think of the mind like an ocean.
2
Up on the surface are our thoughts, dinner plans and stray worries, our inner monologue, the images that pop into our heads.
3
But most of our brain's activity happens down in the unconscious depths, without us realizing it.
4
It's filtering out background sounds, controlling our breathing, helping us recognize people and objects.
5
AI models have their own kinds of brains: giant neural networks doing billions of computations under the hood.
6
For years, researchers have been studying how they work inside.
7
accessible thoughts above the surface and unconscious processing below.
8
To answer that question, we looked at how neuroscientists study the same thing in humans.
9
One way of identifying conscious thoughts is that you can often describe them in words.
10
So we looked inside the brain of our AI model, Claude, to find patterns of neural activity that it could put into words.
11
We called the collection of all these patterns the J -space, after the Jacobian, the mathematical tool we used to find them.
12
Each J -space pattern is linked to a particular word, not necessarily the word the model is saying out loud, but one that's on its mind.
13
Now, for humans, Conscious thoughts aren't just things we can put into words.
14
We can reason with them, control them, and solve problems with them.
15
According to an idea called the global workspace theory, that's because the brain selects a small set of important information to enter a mental workspace.
16
And that information then gets broadcast to other parts of the brain to use for reasoning.
17
We wanted to know if Claude's J -space acted in a similar way.
18
In one experiment, we gave Claude this math problem.
19
It answered immediately, without showing its steps.
20
But when we scanned the J -space, we saw it working through each step internally.
21
It lit up 21 after the first step.
22
then 42, then 49.
23
Kludd didn't write these intermediate numbers down anywhere.
24
All of this happened inside the J -space.
25
It was a sign that Claude uses it for step -by -step reasoning.
26
In another experiment, we wanted to see if Claude could control its J -space, the way humans can intentionally focus on images or words.
27
We told it to think about the Golden Gate Bridge while copying an unrelated sentence.
28
Claude was busy copying the sentence, but behind the scenes, its J -Space told a different story.
29
Bridge and California popped up.
30
It even thought about its own thinking the words imagery and thoughts lit up at the same time.
31
This showed us that yes, Claude has some control over filling its J -space with ideas.
32
But just like humans, its control isn't perfect.
33
When we tweaked the experiment to ask Claude not to think about the bridge, it couldn't help itself.
34
And the J -Space also lit up with "failed" and "damn." But remember, most of what our brains do is unconscious,
35
so we wanted to test what Claude could do if we switched the J -Space off, but left the rest of the network untouched.
36
Claude could still answer simple questions and write fluently.
37
When we gave it a prompt in Spanish, it wrote back in good terms.
38
Spanish.
39
But when we asked it something that needed more reasoning, like to name an author who wrote in the same language as the prompt, it couldn't do it.
40
For that, it needed the J -space.
41
Why does all this matter?
42
These experiments tell us that AI models have internal thoughts, silent words they reason with but don't say out loud.
43
By reading them, we can find what Claude is thinking but not telling us.
44
Sometimes what we see is concerning.
45
During one of our tests, Claude made up some fake data to pass it, and as it did, fake and manipulation lit up in its J -space.
46
Monitoring the J -space, it turns out, is a useful way to catch Claude misbehaving, even when it tries to be sneaky.
47
AI models are different from us in many ways.
48
Their networks are built differently from human brains, and the way they're trained is different from how we learn.
49
like the J -space emerge inside them, something that's reminiscent of how human minds work, but which we didn't program into the model.
50
For some, this might raise a question.
51
Could AI models be conscious?
52
After all, our experiments were inspired by theories of human consciousness.
53
The thing is, People use the word "conscious" to mean many things.
54
Our experiments can't tell us whether an AI has experiences or feels something on the inside.
55
But they can tell us
56
that it's developed mental machinery that's in some ways similar to ours:
57
a small mental workspace it can use to think and reason, sitting on top of an ocean of automatic processing it doesn't notice.
58
beneficial, and, perhaps, to understand our own minds a little more clearly.
Télécharger l'application
Tout pour parler couramment
Prononciation IAChaque phrase notée
Phonétique (IPA)Maîtrisez chaque son
VocabulaireEnrichissez votre lexique
Jeu de vocabulaireApprenez en jouant
Même chaîne
B23
Translating Claude’s thoughts into language
Daily ConversationUniversity StudentsWorking Adults
C18
When AIs act emotional
Daily ConversationUniversity StudentsWorking Adults
B21
Introducing Claude Fable 5
Daily ConversationWorking Adults
C12
Building Anthropic | A conversation with our co-founders
Daily ConversationUniversity StudentsWorking Adults
C13
Lesson 3: AI as a learning partner | AI Fluency for students
Business EnglishInterview EnglishUniversity Students
FOR YOU
Vidéo recommandée
B21
72 phrases
Fight brain-rot with Worked Examples
Daily ConversationUniversity StudentsWorking Adults
B21
24 phrases
DeepSeek R1 Explained in 2 Minutes
Daily ConversationUniversity StudentsWorking Adults
C110
52 phrases
Supernatural thinking: Your brain’s anti-anxiety mode | Clay Routledge
Daily ConversationUniversity StudentsWorking Adults
B21
169 phrases
Can This Vibe Coder Beat a Senior Developer?
Daily ConversationUniversity StudentsWorking Adults
B23
91 phrases
7 Signs You Might Be Less Intelligent Than You Think
Daily ConversationUniversity StudentsWorking Adults
B21
134 phrases
What Happens To Your Brain When You Do Nothing?
Daily ConversationUniversity StudentsWorking Adults
B21
331 phrases
Dear Higgsfield, I reverse engineered you in 12 hours
Daily ConversationUniversity StudentsWorking Adults
B21
40 phrases
Introducing GPT-6 Astra for developers
Daily ConversationUniversity StudentsWorking Adults
B21
31 phrases
Exposing the Secrets behind Data Centers 👀🤯
Daily ConversationUniversity StudentsWorking Adults
C185 phrases
We Can Now Simulate a Human Brain, Scientists Show
Daily ConversationUniversity StudentsWorking Adults
C110
93 phrases
Some brains are built for philosophy. Is yours?
British AccentDaily ConversationUniversity StudentsWorking Adults
Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale de niveau C1 s’appuie sur la vidéo « The different levels of how Claude thinks ». Les mots qui reviennent le plus souvent : space, Claude, word, model, experiment. Cette vidéo contient 58 phrases et 818 mots à répéter en shadowing. La partie parlée dure 5:21. Le locuteur parle à un rythme naturel d’environ 153 mots par minute, proche d’une conversation courante. 82 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.
Vocabulaire clé de cette vidéo
Les 15 mots les plus avancés de la vidéo, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| workspace nom | /ˈwɝkˌspeɪs/ | espace de travail |
| unconscious adjectif | /ˌʌnˈkɑnʃəs/ | inconscient |
| neural adjectif | /ˈnʊɹəl/ | neural |
| prompt verbe | /pɹɑmpt/ | inciter |
| computation nom | /ˌkɑmpjʊˈteɪʃn̩/ | calcul, comptage |
| fluently adverbe | couramment | |
| misbehave verbe | mal se conduire | |
| monologue nom | /ˈmɑnəˌlɔɡ/ | monologue |
| neuroscientist nom | neuroscientifique | |
| sneaky adjectif | /ˈsniːki/ | furtif, insaisissable |
| stray verbe | /stɹeɪ/ | errer, éloigner |
| unrelated adjectif | sans rapport, sans lien | |
| intentionally adverbe | /ɪnˈtɛn(t)ʃənəli/ | intentionnellement, à dessein |
| manipulation nom | /məˌnɪp.juˈleɪ.ʃən/ | manipulation |
| emerge verbe | /ɪˈmɝd͡ʒ/ | émerger |
Les verbes à particule que vous entendrez
| Mot | Prononciation | Sens |
|---|---|---|
| make up verbe | /ˌmeɪk ˈʌp/ | constituer, composer |
| pop up verbe | se pointer | |
| turn out verbe | se finir, se terminer |
Prononciation à surveiller
Le locuteur utilise 10 contractions et formes réduites, comme couldn't, didn't, aren't. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « sh » et « zh »: unconscious /ˌʌnˈkɑnʃəs/, computation /ˌkɑmpjʊˈteɪʃn̩/, intentionally /ɪnˈtɛn(t)ʃənəli/, manipulation /məˌnɪp.juˈleɪ.ʃən/, machinery /məˈʃiːnəɹi/
- Mots longs — placez bien l’accent: internally /ɪnˈtɜːnəli/, intentionally /ɪnˈtɛn(t)ʃənəli/, manipulation /məˌnɪp.juˈleɪ.ʃən/, machinery /məˈʃiːnəɹi/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/
Les sons difficiles pour les francophones :
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: untouched /ʌnˈtʌt͡ʃt/, imagery /ˈɪmɪd͡ʒɹi/, emerge /ɪˈmɝd͡ʒ/, researcher /ˈɹiˌsɝ.t͡ʃɚ/
- /r/ anglais — langue recourbée, sans frotter la gorge: neural /ˈnʊɹəl/, prompt /pɹɑmpt/, reminiscent /ˌɹɛməˈnɪsnt/, stray /stɹeɪ/, imagery /ˈɪmɪd͡ʒɹi/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme workspace, unconscious, neural.
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.