ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: Sam Altman on AI: 'We've not had the iPhone moment'

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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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คำศัพท์และข้อสังเกตด้านการพูดสำหรับบทเรียนนี้

บทเรียนฝึกพูดระดับ B2 นี้ใช้วิดีโอ “Sam Altman on AI: 'We've not had the iPhone moment'” เป็นสื่อ คำที่ถูกพูดซ้ำบ่อยที่สุด: Altman, Openai, anthropic, talked, biggest วิดีโอนี้มี 58 ประโยค และ 836 คำ สำหรับฝึกพูดตาม ช่วงที่มีเสียงพูดยาว 4:12 ผู้พูดพูดเร็ว ประมาณ 199 คำต่อนาที จึงมีการเชื่อมเสียงและลดเสียงค่อนข้างมาก 83% ของคำอยู่ใน 3,000 คำที่ใช้บ่อยที่สุดในภาษาอังกฤษ ส่วนที่เหลือควรดูไว้ก่อนเริ่มฝึก

คำศัพท์สำคัญในวิดีโอนี้

คำที่ยากที่สุด 8 คำในวิดีโอ พร้อมคำอ่านและความหมาย:

คำศัพท์คำอ่านความหมาย
ditch คำนาม/dɪt͡ʃ/คู, คูน้ำ
inertia คำนาม/ɪnˈɝ.ʃə/ความเฉื่อย
shortage คำนาม/ˈʃɔː(ɹ)tɪd͡ʒ/การขาดแคลน, ความขาดแคลน
sigh คำกริยา/saɪ/ถอนใจ
ambitious คำคุณศัพท์/æmˈbɪʃ.əs/ทะเยอทะยาน, มักใหญ่ใฝ่สูง
investor คำนาม/ɪnˈvɛs.tə(ɹ)/ผู้ลงทุน
headline คำนาม/ˈhɛd.laɪn/หัวเรื่อง, หัวข่าว
podcast คำนาม/ˈpɑdˌkæst/พอดแคสต์, พอดคาสต์

การออกเสียงที่ควรระวัง

ผู้พูดใช้รูปย่อและรูปลดเสียง 12 ครั้ง เช่น didn't, we're, don't ให้พูดแบบสั้นตามที่ได้ยิน

  • เสียง “th”: anthropic /ænˈθɹɒp.ɪk/, bequeath /bɪˈkwiːθ/
  • เสียง “sh” และ “zh”: adoption /əˈdɑp.ʃən/, centralization /ˌsɛntɹələˈzeɪʃən/, inertia /ɪnˈɝ.ʃə/, disruption /dɪsˈɹʌpʃən/, shortage /ˈʃɔː(ɹ)tɪd͡ʒ/
  • คำยาว — ลงเสียงหนักให้ถูกพยางค์: caricature /ˈkɛɹɪkət͡ʃʊɚ/, analogy /əˈnæləd͡ʒi/, competitor /kəmˈpɛt.ɪ.tɚ/, centralization /ˌsɛntɹələˈzeɪʃən/, technological /ˌtɛk.nəˈlɑ.dʒɪ.kəl/

เสียงที่คนไทยมักออกเสียงยาก:

  • เสียงท้ายคำ — ออกเสียงให้ครบ ไม่เปลี่ยนเป็นตัวสะกดแบบไทย: bequeath /bɪˈkwiːθ/, ditch /dɪt͡ʃ/, interface /ˈɪn(t)ɚˌfeɪs/, veil /veɪl/, renaissance /ɹəˈneɪs(ə)ns/
  • /v/ — ไม่ใช่ /w/ ให้ฟันบนแตะริมฝีปากล่าง: veil /veɪl/, investor /ɪnˈvɛs.tə(ɹ)/
  • พยัญชนะควบ — ออกเสียงให้ครบทุกตัว: anthropic /ænˈθɹɒp.ɪk/, compute /kəmˈpjuːt/, centralization /ˌsɛntɹələˈzeɪʃən/, disrupt /dɪsˈɹʌpt/, startup /ˈstɑɹtˌʌp/

วิธีฝึกกับวิดีโอนี้

  1. ฟังวิดีโอให้จบหนึ่งรอบโดยยังไม่ต้องพูด แล้วจดคำที่ยังไม่รู้จัก
  2. เริ่มที่ความเร็ว 0.75× พูดตามทีละประโยค แล้วกลับไปใช้ความเร็วปกติเมื่อเริ่มคล่อง
  3. อัดเสียงตัวเองแล้วเทียบกับต้นฉบับ โดยสังเกตคำอย่าง ditch, inertia, shortage เป็นพิเศษ

เทคนิค Shadowing คืออะไร?

Shadowing เป็นเทคนิคการเรียนรู้ภาษาที่ได้รับการรับรองทางวิทยาศาสตร์ พัฒนาขึ้นสำหรับการฝึกนักแปลมืออาชีพ วิธีการนี้เรียบง่ายแต่ทรงพลัง: คุณฟังเสียงภาษาอังกฤษจากเจ้าของภาษาและพูดตามทันที — เหมือนเงาที่ตามผู้พูดด้วยช่วงเวลาห่าง 1-2 วินาที การวิจัยแสดงว่าเทคนิคนี้ปรับปรุงความแม่นยำในการออกเสียง ทำนองเสียง จังหวะ การเชื่อมเสียง การฟังเข้าใจ และความคล่องแคล่วในการพูดได้อย่างมีนัยสำคัญ

เทคนิค shadowing: อ่านคู่มือฉบับเต็มทีละขั้นตอน →