跟读练习: 2026 Mac Mini - CRAZY FAST! (M5 Pro / M5 Ultra) - 通过视频学习英语口语

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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.

I started to try to edit my videos in real time, like during my shoot.

So I shoot off of a few cameras, but this one right here is like the main camera I shoot from.

This is like, we call it the A -cam in the business, but this is like the facial shot.

And then there's this like table shot, we have an overhead camera, and then we also have this like back camera

that we use for like different angles and all four angles are visible here

and this is all real time right like this is something that I try to capture

all at once

and all the edits like switching between the different angles like

the face the overhead the table like this is all done with an Elgato I'll switch between them

and the purpose of it is just to make it as

fast as possible for me I try to make this stuff in as seamless and in as like organic of ways possible.

I don't use teleprompters and scripts on anything.

I just do this.

I talk about the thing that I want to off my dome

and I just like try to do the best job that I can in as little time as possible.

Now, the reason why I do it all off

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,

4K cameras being streamed and encoded in real time

while dealing off the transitions could be done silently while I was doing this.

Like I hate fan noise when I'm doing this.

It's something that's like just a me thing, but I like it to be really quiet when I shoot these things

so I can concentrate on the delivery of the message that I'm trying to share with you guys.

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,

but the GPU on that system, the M4 Pro was taxed quite heavily, like 75, 80 % usage.

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.

But there's a new Mac mini.

If you're wondering why this is here, this is because I can control the back camera with the stick.

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.

So you're going to get big gains in a lot of applications and workflows.

But on my particular setup for this recording workflow, I'm noticing way better GPU pressure.

So this is now sitting at like maybe 60%, a little bit less, and it's going full blast.

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.

It replaces the Mac Studio for everything that I used it for.

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.

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.

And you can get more memory on the M5 Pro configuration, so you can run bigger models if you want.

Now, in terms of pricing, this generation starts at the M6 chip.

You get 16 gigs of RAM, goes up to 32, and it starts at $900.

It is a significant bump up in price than the previous generation.

The higher tier configuration with the M5 Pro chip maxes out at 64 gigs,

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.

Now, AI workflows is what made that M4 -based Mac mini wildly popular.

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.

So enthusiasts were buying these things just because they like to play with local models, but you could cluster these things.

You'd get an army of Mac minis, connect them up, and they would work together with the combined RAM of the full stack.

So you could have very large models serving a whole team of users, all done locally for a relatively inexpensive price.

But the connection between those M4 -based Mac mini nodes weren't super fast.

So the cluster couldn't perform at, like, ultra -high speeds.

It just had a ton of memory to work with

which brings me to the new m5 ultra based mac studio

so this is you know what i can't tell which is one

but one of these is the m5 ultra the other is

the m3 ultra now the one i had the previous generation

the m3 ultra had 512 gigs of ram the new m5 ultra

that i've been sent only has 256 gigs of memory i

obviously have to send these back i wish i could keep these things

but But the performance on the M5 Ultra device is so ridiculously fast.

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.

The GPU, the CPU, but particularly the memory bandwidth this time is just off the charts.

It's just so fast.

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.

I tested out Draw Things, which does local generative AI video.

I personally don't love the idea of this.

I do understand that certain industries lean on products like this.

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.

But when I look at it, I'm like, I feel icky even just using a benchmark in it.

But it is interesting that this hardware can do it as well as it does now.

It's also super fast with LLMs because the memory bandwidth is crazy high.

And there will be a 512 gigabyte configuration of the M5 Ultra coming in the near future for the people

that have the need and more importantly the budget to get that thing.

And lastly, there's clustering.

So Thunderbolt 5 supports the RDMA connection that I was talking about before.

So you can get two Mac Studios, even of different generation.

The M3 Ultra with its 512 gigabytes combined with the M5

Ultra with its 256 gigabytes you now have a combined memory of 768, I believe, and you can run this in a single pool.

So you can now hold models that neither one of these could have held individually.

But keep in mind, it doesn't make them run faster, right?

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,

like, it doesn't make the thing run faster just because there's more RAM.

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.

Okay, so there you have it.

This is the new stuff from the Mac lineup.

These things are obviously crazy expensive.

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,

like you could get years of really high token monthly subscriptions for the cost of one of these machines.

Obviously when you have something local something like a Mac Studio you have the massive benefit of like privacy

and obviously there's certain like types of data

that you are not even allowed legally to upload into a cloud

so there's tons of workflows that would depend on something like this

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.

It's just local does have some benefits.

Okay, there you have it, the new Mac lineup.

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FOR YOU

本课的词汇与口语要点

这段视频共有 93 个句子、1494 个单词可供跟读。讲话部分时长为 7:17。说话人语速较快，每分钟约 205 个词，会出现较多连读和弱读。只有 80% 的单词属于英语最常用的 3,000 词，词汇难度较高。

视频中的重点词汇

视频中 15 个值得学习的单词，附发音和释义：

单词	发音	释义
chip 名词	/t͡ʃɪp/	筹码
gig 名词	/ɡɪɡ/	演出, 音樂會 /音乐会
cloud 名词	/ˈklaʊ̯d/	йүн, 雲 /云
angle 名词	/ˈæŋ.ɡəl/	角, 角度
combine 动词	/kəmˈbaɪn/	結合 /结合, 組合 /组合
cluster 名词	/ˈklʌstɚ/	串, 叢 /丛
configuration 名词	/kənˌfɪɡ.əˈɹeɪ̯.ʃən/	編排 /编排, 配置
bandwidth 名词	/ˈbændwɪdθ/	帶寬 /带宽, 頻帶 /频带
inexpensive 形容词	/ˌɪnɪkˈspɛnsɪv/	低廉, 便宜
edit 动词	/ˈɛdɪt/	編輯 /编辑
hardware 名词	/ˈhɑɹdˌwɛɹ/	硬件, 硬體 /硬体
overhead 名词	/ˈəʊvəˌhɛd/	間接費用 /间接费用
chart 名词	/t͡ʃɑɹt/	圖表 /图表
transition 名词	/tɹænˈzɪʃ.ən/	過渡 /过渡, 轉變 /转变
compare 动词	/kəmˈpɛɚ/	比, 比較 /比较

视频中出现的短语动词

单词	发音	释义
come out 动词	/ˌkʌm ˈaʊt/	出, 出來 /出来
come up with 动词		想出, 提出

视频中的语法

说话人最常用的结构，并附上视频中的原话：

结构	视频中的用法
被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的	being streamed · could be done · was taxed
现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事	I've done · i've been sent

需要注意的发音

说话人用了 31 次缩略和弱读形式，例如 I'm, you're, doesn't。请按听到的简短形式来说。

“th” 音: bandwidth /ˈbændwɪdθ/, thread /ˈθɹɛd/, enthusiast /ɪnˈθuːziˌæst/
“sh” 和 “zh” 音: configuration /kənˌfɪɡ.əˈɹeɪ̯.ʃən/, transition /tɹænˈzɪʃ.ən/, capture /ˈkæp.(t)ʃɚ/, efficient /ɪˈfɪʃənt/, substantial /səbˈstænʃəl/
长单词——注意重音位置: configuration /kənˌfɪɡ.əˈɹeɪ̯.ʃən/, inexpensive /ˌɪnɪkˈspɛnsɪv/, importantly /ɪmˈpɔɹ.tənt.li/, individually /ˌɪndɪˈvɪd͡ʒ(u)əli/, inherently /ɪnˈhɛɹəntli/

如何用这段视频练习

先完整听一遍视频，不要开口，记下不认识的单词。
先用 0.75 倍速逐句跟读，熟练之后再回到正常速度。
录下自己的声音并与原声对比，特别注意 chip, gig, cloud 这类单词。

什么是跟读法？

跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。

影子跟读法: 阅读完整分步指南 →

跟读练习: 2026 Mac Mini - CRAZY FAST! (M5 Pro / M5 Ultra) - 通过视频学习英语口语

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