Shadowing Practice: Sam Altman on AI: 'We've not had the iPhone moment' - Learn English Speaking with Video
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Welcome back.
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OpenAI's Sam Altman making some new comments over the weekend.
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Kate Rooney joins us with more.
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Hey, Kate.
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Hey, Leslie.
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So OpenAI CEO saying that the AI revolution may take a little bit longer than expected.
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Sam Altman appeared on David Senra's podcast over the weekend.
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He said we're still at the Palm Pilot stage of adoption.
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A lot of the technology was there.
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It was missing multi-touch, but mostly it was missing the product ideas that made the iPhone the iPhone.
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And I feel like we are now in a world where we have all of the technological pieces,
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but we have not had the iPhone moment of completely changing how someone interfaces with technology.
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Altman went on to say that AI adoption has been slower than expected, and so has the economic disruption.
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The economy just has so much inertia.
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People keep doing the same things they're doing.
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They keep buying from the same company.
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They keep sort of wanting to use their tools in the same way.
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I think it's actually a positive in many ways, and it's going to this big transition in front of us go smoother and slower, and I'm grateful for it.
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But I think it means we've all been too ambitious on timelines, even with this incredible technology.
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A couple of other headlines, guys.
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Altman said that compute right now is the biggest bottleneck.
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He said that is where he's spending the most time at OpenAI.
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Two of the biggest risks for AI that he outlined, he talked about a loss of control where AI gets too powerful,
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And then one company or one model ends up having too much power as well.
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He also said OpenAI wants to be a platform company and not actually compete with its customers.
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So maybe a sigh of relief there from some software names.
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Well, Kate, what does that mean to be a platform company?
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So basically, David, that they would be, it's called an API, but they would be behind the scenes powering other startups.
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The fear around OpenAI, Anthropic, and others is that they want to go what people call up the stack.
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They want to be the actual app in the interface with customers and say disrupt, you know, a traditional software company Altman positioning OpenAI as,
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hey, we're going to work with everybody on the back end and sort of white label our technology.
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We don't necessarily want to build every legal company, every software company, every cyber company,
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which is where a lot of the software sell up and the SaaSpocalypse earlier this year that we talked about came from.
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Altman, though, strategically positioning that.
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He also wants to win over enterprises.
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So if you think about his reasoning behind saying that and messaging that is that, hey, you also need to make sure that enterprises feel comfortable working with you.
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So clearly some motivation there to frame it that way.
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But he also talked about ditching some strategic projects and some important projects.
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He talked about the power loss.
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And when you think about the venture capital mindset of sticking with one of the biggest bets paying off, he said, you know, we ditched Sora, for example, because it was taking up too much compute.
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That was the video generation side of it.
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So got a little bit of his thinking behind OpenAI, but he still very much thinks like an investor in a lot of ways.
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Yeah, it's interesting hearing him talk about the centralization of power, though.
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But yet, I mean, wouldn't open source be one of the answers to that as well?
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It's interesting, David.
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And that would be the obvious answer to that would be cheaper options out of China.
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And they've sort of he's sort of danced around that.
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They didn't talk about open source in particular, but he did take some sort of veiled attacks at at Anthropic.
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He talked about this caricature of, you know, AI power being in the hands of he said he sort of described it as this fiefdom said.
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I think he used the word bequeath.
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But, you know, we're going to bequeath the AI on our, you know, our not.
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You didn't use the word peasants, but you know what I mean.
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He used this sort of analogy, this renaissance analogy of AI companies controlling a lot of the power, doing amazing things like curing diseases, but at the same time,
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meaning that the average person gets a lot less control and sort of uses this maybe overstatement of caricature of AI.
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He didn't mention Anthropic specifically, but a lot of people are picking up on that, saying, oh, he's probably taking a dig at his biggest competitor there.
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Yeah, there's no shortage of digs at Dario
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and Anthropic are there very subtle exactly well it's interesting i mean the two biggest companies
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when they talk about a competitor it's usually it's usually anthropic yeah it is kate thank you
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Vocabulary and speaking notes for this lesson
This B2 speaking lesson is built on the video “Sam Altman on AI: 'We've not had the iPhone moment'”. The speaker keeps coming back to these words: Altman, Openai, anthropic, talked, biggest. This video has 58 sentences and 836 words to shadow. The speech runs for 4:12. The speaker talks fast, about 199 words per minute, so expect linked and reduced sounds. 83% of the words are among the 3,000 most common in English; the rest is worth studying before you start.
Key vocabulary in this video
The 15 most advanced words in the video, with pronunciation and meaning:
| Word | Pronunciation | Meaning |
|---|---|---|
| anthropic adjective | /ænˈθɹɒp.ɪk/ | Of or pertaining to mankind or humans, or the period of humanity's existence. |
| bequeath verb | /bɪˈkwiːθ/ | To give or leave by will; to give by testament. |
| caricature adjective | /ˈkɛɹɪkət͡ʃʊɚ/ | Having the characteristics of a caricature, grotesque. |
| compute verb | /kəmˈpjuːt/ | To reckon, calculate. |
| analogy noun | /əˈnæləd͡ʒi/ | A relationship of resemblance or equivalence between two situations, people, or objects, especially when used as a basis for explanation or extrapolation. |
| competitor noun | /kəmˈpɛt.ɪ.tɚ/ | A person or organization against whom one is competing. |
| ditch noun | /dɪt͡ʃ/ | A trench; a long, shallow indentation, as for irrigation or drainage. |
| interface noun | /ˈɪn(t)ɚˌfeɪs/ | The point of interconnection or contact between entities. |
| adoption noun | /əˈdɑp.ʃən/ | The act of adopting. |
| bottleneck noun | The narrow portion that forms the pouring spout of a bottle; the neck of a bottle. | |
| centralization noun | /ˌsɛntɹələˈzeɪʃən/ | The act or process of centralizing, or the state of being centralized; the act or process of combining or reducing several parts into a whole |
| inertia noun | /ɪnˈɝ.ʃə/ | The property of a body that resists any change to its uniform motion; equivalent to its mass. |
| overstatement noun | An exaggeration; a statement in excess of what is reasonable. | |
| strategically adverb | In a strategic manner. | |
| disrupt verb | /dɪsˈɹʌpt/ | To throw into confusion or disorder. |
Phrasal verbs you will hear
| Word | Meaning |
|---|---|
| call up verb | To retrieve from personal or computer memory. |
| end up verb | To bring to a conclusion. |
| pay off verb | To bribe, especially to deter oversight. |
| pick up on verb | To notice, observe, learn, or understand, especially something otherwise overlooked. |
| sell up verb | To sell one's business or other major asset (such as a home). |
| take up verb | To pick up. |
Pronunciation to watch
The speaker uses 12 contractions and reduced forms, such as didn't, we're, don't. Say them the short way, as you hear them.
- The “th” sounds: anthropic /ænˈθɹɒp.ɪk/, bequeath /bɪˈkwiːθ/
- The “sh” and “zh” sounds: adoption /əˈdɑp.ʃən/, centralization /ˌsɛntɹələˈzeɪʃən/, inertia /ɪnˈɝ.ʃə/, disruption /dɪsˈɹʌpʃən/, shortage /ˈʃɔː(ɹ)tɪd͡ʒ/
- Long words — get the stress right: caricature /ˈkɛɹɪkət͡ʃʊɚ/, analogy /əˈnæləd͡ʒi/, competitor /kəmˈpɛt.ɪ.tɚ/, centralization /ˌsɛntɹələˈzeɪʃən/, technological /ˌtɛk.nəˈlɑ.dʒɪ.kəl/
How to practise with this video
- Listen to the whole video once without speaking and note the words you do not know.
- Start at 0.75× speed, shadow it sentence by sentence, then go back to normal speed once it feels easy.
- Record yourself and compare with the original, paying attention to words like anthropic, bequeath, caricature.
What is the Shadowing Technique?
Shadowing is a science-backed language learning technique originally developed for professional interpreter training and popularized by polyglot Dr. Alexander Arguelles. The method is simple but powerful: you listen to native English audio and immediately repeat it out loud — like a shadow following the speaker with just a 1–2 second delay. Unlike passive listening or grammar drills, shadowing forces your brain and mouth muscles to simultaneously process and reproduce real speech patterns. Research shows it significantly improves pronunciation accuracy, intonation, rhythm, connected speech, listening comprehension, and speaking fluency — making it one of the most effective methods for IELTS Speaking preparation and real-world English communication.