ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: 2026 Mac Mini - CRAZY FAST! (M5 Pro / M5 Ultra)
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93 ประโยค
หากประโยคสั้นหรือยาวเกินไป กดที่ Edit เพื่อปรับแก้
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A few years ago when the M2 based Mac Studios first came out, I started to switch my shooting setup over to something that I don't think many people do in this space.
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I started to try to edit my videos in real time, like during my shoot.
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So I shoot off of a few cameras, but this one right here is like the main camera I shoot from.
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This is like, we call it the A -cam in the business, but this is like the facial shot.
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And then there's this like table shot, we have an overhead camera, and then we also have this like back camera
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that we use for like different angles and all four angles are visible here
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and this is all real time right like this is something that I try to capture
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all at once
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and all the edits like switching between the different angles like
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the face the overhead the table like this is all done with an Elgato I'll switch between them
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and the purpose of it is just to make it as
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fast as possible for me I try to make this stuff in as seamless and in as like organic of ways possible.
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I don't use teleprompters and scripts on anything.
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I just do this.
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I talk about the thing that I want to off my dome
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and I just like try to do the best job that I can in as little time as possible.
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Now, the reason why I do it all off
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or I used to do it all off of the M2 based Mac Studio, it's not even this one, this is a newer one, but back then I did it off the M2 Ultra was because all of these cameras,
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4K cameras being streamed and encoded in real time
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while dealing off the transitions could be done silently while I was doing this.
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Like I hate fan noise when I'm doing this.
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It's something that's like just a me thing, but I like it to be really quiet when I shoot these things
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so I can concentrate on the delivery of the message that I'm trying to share with you guys.
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Now, a couple of years ago when the M4 Mac mini came out, I tested out an M4 Pro just to see if you could keep up with this workflow and it could,
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but the GPU on that system, the M4 Pro was taxed quite heavily, like 75, 80 % usage.
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And during the summer when it was a little bit hotter, sometimes the fan would kick in and there would be fan noise and it's like, okay, I'm just going to stick with the Mac studios.
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But there's a new Mac mini.
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If you're wondering why this is here, this is because I can control the back camera with the stick.
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Sometimes I want to move the camera around, but there's a new Mac mini with new CPU options, much faster CPU and GPU, obviously.
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So you're going to get big gains in a lot of applications and workflows.
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But on my particular setup for this recording workflow, I'm noticing way better GPU pressure.
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So this is now sitting at like maybe 60%, a little bit less, and it's going full blast.
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So the past few videos I've done on this system, the Steam frame review, I did on that, same with the iPhone review, and it's because this is such a quiet, it's so good.
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It replaces the Mac Studio for everything that I used it for.
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This particular system is running the M5 Pro with 24 gigs of RAM, and for what I'm doing, I don't need more RAM than that.
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You can also run local AI models on it, so the M5 Pro chip has higher memory bandwidth than the M6 chip, which makes models run a little bit faster.
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And you can get more memory on the M5 Pro configuration, so you can run bigger models if you want.
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Now, in terms of pricing, this generation starts at the M6 chip.
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You get 16 gigs of RAM, goes up to 32, and it starts at $900.
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It is a significant bump up in price than the previous generation.
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The higher tier configuration with the M5 Pro chip maxes out at 64 gigs,
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and it's a substantial step up in performance if you can take advantage of the GPU or multi -threaded CPU performance, or if you're into AI workflows.
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Now, AI workflows is what made that M4 -based Mac mini wildly popular.
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So when it came out, it was like crazy because this was a tiny machine that was energy efficient, silent, and very inexpensive for the AI performance that you're getting out of it.
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So enthusiasts were buying these things just because they like to play with local models, but you could cluster these things.
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You'd get an army of Mac minis, connect them up, and they would work together with the combined RAM of the full stack.
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So you could have very large models serving a whole team of users, all done locally for a relatively inexpensive price.
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But the connection between those M4 -based Mac mini nodes weren't super fast.
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So the cluster couldn't perform at, like, ultra -high speeds.
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It just had a ton of memory to work with
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which brings me to the new m5 ultra based mac studio
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so this is you know what i can't tell which is one
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but one of these is the m5 ultra the other is
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the m3 ultra now the one i had the previous generation
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the m3 ultra had 512 gigs of ram the new m5 ultra
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that i've been sent only has 256 gigs of memory i
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obviously have to send these back i wish i could keep these things
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but But the performance on the M5 Ultra device is so ridiculously fast.
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So every time they come up with one of these Ultra chips, I'm always blown away by just how much faster it is in the previous generation.
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The GPU, the CPU, but particularly the memory bandwidth this time is just off the charts.
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It's just so fast.
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It's obviously going to be the fastest Mac hardware you can get, but even compared to Windows stuff like the 5090, this is really good.
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I tested out Draw Things, which does local generative AI video.
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I personally don't love the idea of this.
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I do understand that certain industries lean on products like this.
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Like, I don't know, if you do like mock -ups or, you know, storyboarding, and you want something quick and inexpensive, a tool like this is great.
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But when I look at it, I'm like, I feel icky even just using a benchmark in it.
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But it is interesting that this hardware can do it as well as it does now.
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It's also super fast with LLMs because the memory bandwidth is crazy high.
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And there will be a 512 gigabyte configuration of the M5 Ultra coming in the near future for the people
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that have the need and more importantly the budget to get that thing.
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And lastly, there's clustering.
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So Thunderbolt 5 supports the RDMA connection that I was talking about before.
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So you can get two Mac Studios, even of different generation.
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The M3 Ultra with its 512 gigabytes combined with the M5
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Ultra with its 256 gigabytes you now have a combined memory of 768, I believe, and you can run this in a single pool.
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So you can now hold models that neither one of these could have held individually.
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But keep in mind, it doesn't make them run faster, right?
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It just allows the model to be larger, or you can have longer context for whatever it is that you're doing, but it doesn't inherently make it,
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like, it doesn't make the thing run faster just because there's more RAM.
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Maybe your workflow might be faster because of that extra RAM, but it doesn't make the model, like, it doesn't process it faster.
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Okay, so there you have it.
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This is the new stuff from the Mac lineup.
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These things are obviously crazy expensive.
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I will say, having done a little bit more testing with this stuff, it still holds true this, like, the whole thing about cloud being significantly more cost -effective,
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like you could get years of really high token monthly subscriptions for the cost of one of these machines.
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Obviously when you have something local something like a Mac Studio you have the massive benefit of like privacy
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and obviously there's certain like types of data
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that you are not even allowed legally to upload into a cloud
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so there's tons of workflows that would depend on something like this
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but for the average workflow I think you're going to get with cloud services speed is gonna be faster, better, stronger, cheaper, all of it.
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It's just local does have some benefits.
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Okay, there you have it, the new Mac lineup.
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คำศัพท์และข้อสังเกตด้านการพูดสำหรับบทเรียนนี้
วิดีโอนี้มี 93 ประโยค และ 1494 คำ สำหรับฝึกพูดตาม ช่วงที่มีเสียงพูดยาว 7:17 ผู้พูดพูดเร็ว ประมาณ 205 คำต่อนาที จึงมีการเชื่อมเสียงและลดเสียงค่อนข้างมาก มีเพียง 80% ของคำที่อยู่ใน 3,000 คำที่ใช้บ่อยที่สุดในภาษาอังกฤษ คำศัพท์จึงค่อนข้างยาก
คำศัพท์สำคัญในวิดีโอนี้
คำที่ควรเรียนรู้ 15 คำจากวิดีโอ พร้อมคำอ่านและความหมาย:
| คำศัพท์ | คำอ่าน | ความหมาย |
|---|---|---|
| cloud คำนาม | /ˈklaʊ̯d/ | เมฆ |
| angle คำนาม | /ˈæŋ.ɡəl/ | มุม |
| edit คำกริยา | /ˈɛdɪt/ | แก้ไข |
| hardware คำนาม | /ˈhɑɹdˌwɛɹ/ | ฮาร์ดแวร์ |
| chart คำนาม | /t͡ʃɑɹt/ | ผัง, แผนผัง |
| compare คำกริยา | /kəmˈpɛɚ/ | เปรียบเทียบ |
| silent คำคุณศัพท์ | /ˈsaɪ̯lənt/ | เงียบ, นิ่ง |
| thread คำนาม | /ˈθɹɛd/ | ด้าย, เชือก |
| capture คำกริยา | /ˈkæp.(t)ʃɚ/ | ยึด |
| organic คำคุณศัพท์ | /ɔːˈɡænɪk/ | อินทรีย์ |
| connect คำกริยา | /kəˈnɛkt/ | เชื่อม, ต่อ |
| privacy คำนาม | /ˈpɹaɪ.və.si/ | ความเป็นส่วนตัว |
| ton คำนาม | /tʌn/ | ตัน, โตน |
| depend คำกริยา | /dɪˈpɛnd/ | พึ่ง |
| upload คำกริยา | /ˈʌpˌloʊd/ | อัปโหลด |
ไวยากรณ์ในวิดีโอนี้
โครงสร้างที่ผู้พูดใช้บ่อยที่สุด พร้อมคำพูดจริงจากวิดีโอ:
| โครงสร้าง | ในวิดีโอ |
|---|---|
| Passive voice be + กริยาช่อง 3 — เน้นสิ่งที่เกิดขึ้น ไม่ใช่ผู้กระทำ | being streamed · could be done · was taxed |
| Present perfect have/has + กริยาช่อง 3 — เหตุการณ์ในอดีตที่ยังเกี่ยวข้องกับปัจจุบัน | I've done · i've been sent |
การออกเสียงที่ควรระวัง
ผู้พูดใช้รูปย่อและรูปลดเสียง 31 ครั้ง เช่น I'm, you're, doesn't ให้พูดแบบสั้นตามที่ได้ยิน
- เสียง “th”: bandwidth /ˈbændwɪdθ/, thread /ˈθɹɛd/, enthusiast /ɪnˈθuːziˌæst/
- เสียง “sh” และ “zh”: configuration /kənˌfɪɡ.əˈɹeɪ̯.ʃən/, transition /tɹænˈzɪʃ.ən/, capture /ˈkæp.(t)ʃɚ/, efficient /ɪˈfɪʃənt/, substantial /səbˈstænʃəl/
- คำยาว — ลงเสียงหนักให้ถูกพยางค์: configuration /kənˌfɪɡ.əˈɹeɪ̯.ʃən/, inexpensive /ˌɪnɪkˈspɛnsɪv/, importantly /ɪmˈpɔɹ.tənt.li/, individually /ˌɪndɪˈvɪd͡ʒ(u)əli/, inherently /ɪnˈhɛɹəntli/
วิธีฝึกกับวิดีโอนี้
- ฟังวิดีโอให้จบหนึ่งรอบโดยยังไม่ต้องพูด แล้วจดคำที่ยังไม่รู้จัก
- เริ่มที่ความเร็ว 0.75× พูดตามทีละประโยค แล้วกลับไปใช้ความเร็วปกติเมื่อเริ่มคล่อง
- อัดเสียงตัวเองแล้วเทียบกับต้นฉบับ โดยสังเกตคำอย่าง cloud, angle, edit เป็นพิเศษ
เทคนิค Shadowing คืออะไร?
Shadowing เป็นเทคนิคการเรียนรู้ภาษาที่ได้รับการรับรองทางวิทยาศาสตร์ พัฒนาขึ้นสำหรับการฝึกนักแปลมืออาชีพ วิธีการนี้เรียบง่ายแต่ทรงพลัง: คุณฟังเสียงภาษาอังกฤษจากเจ้าของภาษาและพูดตามทันที — เหมือนเงาที่ตามผู้พูดด้วยช่วงเวลาห่าง 1-2 วินาที การวิจัยแสดงว่าเทคนิคนี้ปรับปรุงความแม่นยำในการออกเสียง ทำนองเสียง จังหวะ การเชื่อมเสียง การฟังเข้าใจ และความคล่องแคล่วในการพูดได้อย่างมีนัยสำคัญ