Shadowing-Übung: Why Are People Starting to Sound Like ChatGPT? | Adam Aleksic | TED - Englisch Sprechen Lernen mit YouTube

C1
How sure are you that you can tell what's real online?
⏸ Pausiert
55 Sätze
Wenn Sätze zu kurz oder zu lang sind, klicke auf Edit, um sie anzupassen.
1
How sure are you that you can tell what's real online?
2
(Laughter) You might think it's easy to spot an obviously AI-generated image, and you're probably aware that algorithms are biased in some way.
3
But all the evidence is suggesting that we're pretty bad at understanding that on a subconscious level.
4
Take, for example, the growing perception gap in America.
5
We keep over- and overestimating how extreme other people's political beliefs are, and this is only getting worse with social media, because algorithms show us the most extreme picture of reality.
6
As an etymologist and content creator, I always see controversial messages go more viral because they generate more engagement than a neutral perspective.
7
But that means we all end up seeing this more extreme version of reality, and we're clearly starting to confuse that with actual reality.
8
The same thing is currently happening with AI chatbots, because you probably assume that ChatGPT is speaking English to you, except it's not speaking English, in the same way that the algorithm's not showing you reality.
9
There are always distortions, depending on what goes into the model and how it's trained.
10
Like we know that ChatGPT says “delve” at way higher rates than usual, possibly because OpenAI outsourced its training process to workers in Nigeria who do, actually, say, "delve" more frequently.
11
Over time, though, that little linguistic overrepresentation got reinforced into the model even more than in the workers' own dialects.
12
Now that's affecting everybody's language.
13
Multiple studies have found that, since ChatGPT came out, people everywhere have been saying the word "delve" more in spontaneous spoken conversation.
14
Essentially, we're subconsciously confusing the AI version of language with actual language.
15
But that means that the real thing is, ironically, getting closer to the machine version of the thing.
16
We're in a positive feedback loop with the AI representing reality, us thinking that's the real reality, and regurgitating it so the AI can be fed more of our data.
17
You can also see this with the algorithm through words like "hyperpop," [not a] part of our cultural lexicon until Spotify noticed an emerging cluster of similar users in their algorithm.
18
[When] they identified it and introduced a hyperpop playlist, however, the aesthetic was given a direction.
19
Now people began to debate what did and did not qualify as hyperpop.
20
The label and the playlist made the phenomenon more real by giving them something to identify with or against.
21
And as more people identified with hyperpop, more musicians also started making hyperpop music.
22
All the while, the cluster of similar listeners in the algorithm grew larger, and Spotify kept pushing it more, because these platforms want to amplify cultural trends to keep you on the app.
23
But that means we also lose the distinction between a real trend and an artificially inflated trend.
24
And yet, this is how all fads now enter the mainstream.
25
We start with a latent cultural desire.
26
Maybe some people are interested in matcha, Labubu or Dubai chocolate.
27
The algorithm identifies this desire and pushes it to similar users, making the phenomenon more of a thing.
28
But again, just like how ChatGPT misrepresented the word "delve," the algorithm is probably misrepresenting reality.
29
Now more businesses are making Labubu content because they think that's the desire.
30
More influencers are also making Labubu trends because we have to tap into trends to go viral.
31
And yet, the algorithm is only showing you the visually provocative items that work in the video format.
32
TikTok has a limited idea of who you are as a user, and there's no way that matches up with your complex desires as a human being.
33
So we have a biased input.
34
And that's assuming that social media is trying to faithfully represent reality, which it isn't.
35
It's only trying to do what's going to make money for them.
36
It's in Spotify's interest to have you listening to hyperpop, and it’s in TikTok’s to have you looking at Labubus because that's commodifiable.
37
So again, we have this difference between reality and representation, where they're actually constantly influencing one another.
38
But it's incredibly dangerous to ignore that distinction, because this goes beyond our language and consumptive behaviors.
39
This affects the world we see as possible.
40
Evidence suggests that ChatGPT is more conservative when speaking the Farsi language, likely because of the limited training texts in Iran reflect the more conservative political climate in the region.
41
Does that mean that Iranian ChatGPT users will think more conservative thoughts?
42
Elon Musk regularly makes changes to his chatbot Grok when he doesn't like how it's responding, and then uses his platform X to artificially amplify his tweets.
43
Does that mean that the millions of Grok and X users are subconsciously being trained to align with Musk's ideology?
44
We need to constantly remember that these aren't neutral tools.
45
Everything that ends up in your social media feed or in your chatbot responses is actually filtered through many layers of what's good for the platform, what makes money and what conforms to the platform’s incorrect idea about who you are.
46
When we ignore this, we view reality through a constant survivorship bias, which affects our understanding of the world.
47
After all, if you're talking more like ChatGPT, you're probably thinking more like ChatGPT as well, or TikTok or Spotify.
48
But you can fight this if you constantly ask yourself: Why?
49
Why am I seeing this?
50
Why am I saying this?
51
Why am I thinking this?
52
And why is the platform rewarding this?
53
If you don't ask yourself these questions, their version of reality is going to become your version of reality.
54
So stay real.
55
(Cheers and applause)

App herunterladen

KI-Bewertung für jeden gesprochenen Satz

Zum Download scannen
Zum Download scannen
Download on theApp Store
Get it onGoogle Play
TRENDING

Beliebt

Über diese Lektion

In dieser Lektion werden die Lernenden verschiedene Aspekte des Englischsprechens üben, indem sie sich mit den Themen von Wahrnehmung, Sprache und den Einfluss der Technologie auf unsere Kommunikation auseinandersetzen. Die Lektion basiert auf einem TED-Vortrag, der die Auswirkungen von KI und sozialen Medien auf unsere Sprache behandelt. Die Lernenden werden sich mit spezifischen Vokabeln und Phrasen vertrautmachen und diese im Rahmen von shadowspeak und der Verbesserung ihrer Sprechfertigkeiten anwenden.

Wichtige Vokabeln & Phrasen

  • Verzerrungen - distortions
  • Kulturelle Lexikon - cultural lexicon
  • Algorithmus - algorithm
  • Viral gehen - go viral
  • Positive Rückkopplungsschleife - positive feedback loop
  • Bewusstseinsverzerrung - awareness distortion
  • Einfluss - influence
  • Spontane Gespräche - spontaneous conversations

Übungstipps

Um Ihre Fähigkeit, Englisch zu sprechen zu üben, zu verbessern, können Sie shadowing als effektive Technik nutzen. Diese Methode erfordert, dass Sie den gesprochenen Inhalt eines Videos direkt nachsprechen, während Sie gleichzeitig die Intonation, das Tempo und den Ausdruck des Sprechers imitieren. Achten Sie besonders auf die Geschwindigkeit des TED-Vortrags, die oft schnell ist und eine prägnante Ausdrucksweise verwendet. Versuchen Sie, die Pausen und den Tonfall des Sprechers nachzuahmen, um das Gefühl des natürlichen Gesprächs zu verstärken.

Geben Sie sich nicht nur mit wiederholtem Nachsprechen zufrieden; reflektieren Sie über die Themen, die besprochen werden, und überlegen Sie, wie sie Ihre eigene Sichtweise auf das Englisch sprechen und auf moderne Kommunikation beeinflussen könnten. Nutzen Sie auch spezifische Phrasen aus dem Vortrag wie „go viral“ oder „cultural lexicon“, um Ihr Vokabular zu erweitern. Wenn Sie Fragen zu bestimmten Vokabeln haben, notieren Sie diese und versuchen Sie, Beispiele aus Ihrem eigenen Leben oder Ihrer Umgebung zu finden, um sie in Gesprächen zu verwenden. Indem Sie regelmäßig üben und sich mit shadowspeaks beschäftigen, werden Sie nicht nur Ihre Sprachfertigkeiten verbessern, sondern auch ein besseres Verständnis für die dynamische Beziehung zwischen Sprache und Technologie entwickeln.

Was ist die Shadowing-Technik?

Shadowing ist eine wissenschaftlich fundierte Sprachlerntechnik, die ursprünglich für die professionelle Dolmetscherausbildung entwickelt und durch den Polyglotten Dr. Alexander Arguelles populär gemacht wurde. Die Methode ist einfach aber wirkungsvoll: Du hörst englisches Audio von Muttersprachlern und wiederholst es sofort laut — wie ein Schatten, der dem Sprecher mit nur 1–2 Sekunden Verzögerung folgt. Anders als passives Hören oder Grammatikübungen zwingt Shadowing dein Gehirn und deine Mundmuskulatur, gleichzeitig echte Sprachmuster zu verarbeiten und zu reproduzieren. Studien zeigen, dass es Aussprachegenauigkeit, Intonation, Rhythmus, verbundene Sprache, Hörverständnis und Sprechflüssigkeit signifikant verbessert — was es zu einer der effektivsten Methoden für die IELTS Speaking-Vorbereitung und reale englische Kommunikation macht.

☕ Kauf uns einen Kaffee