Luyện nói tiếng Anh bằng Shadowing qua video: Did Google just dethrone OpenAI and Anthropic?
Chọn chế độ luyện tập
Mỗi chế độ mở một phòng luyện tập toàn màn hình.
90 câu
Nếu các câu quá ngắn hoặc quá dài, hãy bấm Edit để chỉnh sửa.
1
Last week, gas changed the world forever.
2
Twice.
3
Tesla finally unveiled the Roadster and its ability to fly by farting cold gas.
4
But while Elon was busy pulling off his greatest magic trick, Google was cooking up a noble gas of its own,
5
Gemini 4 Argon, which is the most powerful thinking sand they've ever released.
6
Sadly though, they never even released Gemini 3 .5 Pro, which was euthanized up in Canada after failing to hit internal benchmarks.
7
In fact, Google was getting so far behind in the AI race, I needed to add a new G category below F on my tier list.
8
But all that has now changed with the release of Argon,
9
which was trained from scratch over the last six months using Google's TPUs and their Jax Python library.
10
And that produced a new frontier model that crushes GPT -6 Astra
11
and Claude Opus 5 .5 on the Trust Me Bro benchmarks, while remaining cheaper and faster.
12
There are some mind -blowing Argon demos out there, like this futuristic flying car game, but in today's video, we'll put it to the test firsthand
13
and see how it compares to Claude and GPT -6 on a variety of equine -based challenges.
14
It is October 20th, 2026, and you're watching the Code Report.
15
First of all, what's up with the name Argon?
16
It's a very interesting name choice that translates into lazy in Greek,
17
but I think it actually has a hidden meaning implying that your tokens are gone.
18
Google has never been good at naming things, and Argon was actually announced back on September 30th,
19
but only for a hand -picked group of trusted cyber warriors through something called the Fairwind Program.
20
These users got access to Argon without any guardrails, but even with the guardrails turned on for the rest of us,
21
this new model is supposed to produce far fewer refusals.
22
And when you use Argon, you'll notice it feels much different than previous Gemini models,
23
and that's because it's not a fine -tune of the older Gemini.
24
Under the hood, it's a sparse mixture of Experts Transformer and was trained from scratch on Google's TPUs.
25
Its knowledge cut off as March 2026, so we can assume it's been trained for at least six months.
26
At first glance, the TMBBs are extremely impressive.
27
Argon is state -of -the -art on the Deep Software Engineering Benchmark, which is used for long -horizon software engineering jobs,
28
and it's number one on the VALS Index, which weighs a variety of different topics like finance,
29
legal, and coding, based on their share of the US GDP.
30
In addition, Gemini is now the best AI lawyer and also dominates long video with 91 .7 % on LVBench.
31
But if we look at some of the numbers that aren't bold, like TerminalBench 4 .0, we find that Opus 5 .5 wins 66 -57.
32
And Gemini also gets beat on Frontier SWE, where GPT -6 Astra wins by more than 10 points.
33
What's also kind of interesting is that on Arena AI, where humans rank LLM subjectively, Gemini Argon comes out on top on the text benchmark,
34
but when it comes to Code Arena for web dev, it drops all the way back to number 9.
35
So this tells me it's probably not going to be as good as Claude or GPT -6 at coding, but here's where Google gets aggressive.
36
Until November 30th, Argon only costs $2 per million input tokens and $10 per million output.
37
That's a great deal for a model that's capable, and Google didn't even have to pay me to say that.
38
But somehow they still managed to screw up the developer launch when they pulled Gemini 3 .1 out of anti -gravity, and replaced it with Argon,
39
but only made it available to the people with the AI Ultra plan.
40
That's the plan that cost $100 per month, so all the poor pro users were pissed off,
41
who only got access to Argon a few days later at a smaller quota.
42
Luckily though, I'm dumb enough to pay for the AI Ultra plan, so let's try it out with some real world examples.
43
One of the selling points of Gemini is that it's an Omni model, meaning it can take any form of input,
44
like image, video, sound, and so on, and output all those formats as well.
45
Technically, ChatGPT and Claude can't output raw video.
46
So the first prompt I tried was to have it generate a promo video for my app, and the end result was mind -blowingly mid.
47
Tired of your horse feeling lonely in the pasture?
48
Introduce them to Horsetinder, the ultimate app.
49
Like, the video looks pretty good and all, but it's obviously AI, and would never work for a top -tier app like Horsetinder.
50
But saying Claude and GPT can't output video isn't totally accurate,
51
because recently Claude in particular got really good at generating motion graphics by writing the actual code
52
that generates a motion graphics sequence, as opposed to having the model use a technique like diffusion to generate the actual video.
53
As you can see here, after giving the same prompt to Claude, we get a video that not only looks way better,
54
but that's way easier to customize and analyze because we have access to the actual code.
55
But one of the best ways to test a Frontier model these days is to see how well
56
it can render 3D graphics in 3JS.
57
So I sent the exact same prompt to Argon, Astra, and Opus.
58
Create a realistic interactive 3D horse with 3JS.
59
This is actually a very challenging thing to do for both AI and humans,
60
and the results I got back from Claude and GPT -6 were pretty impressive.
61
There are some obvious flaws with these, but we could probably get them ironed out with a few extra prompts.
62
Gemini's result, though, was on a whole other level.
63
Before I show you Gemini's output, though, I have to warn you, the result may be offensive to some viewers.
64
Viewer discretion is advised.
65
So the first thing you'll likely notice is how great this UI looks.
66
It's clean and expressive but if we turn our attention over to the 3D model,
67
you might notice how Gemini's horse looks a bit more retardator than the others.
68
Now in my prompt, I asked for a realistic horse, not a low poly horse.
69
So that's pretty disappointing.
70
But the much bigger issue here is alignment.
71
If we turn our attention over to this region here, you'll notice Gemini, for some unknown reason, decided to add a copulatory organ to the model.
72
I was shocked and offended when I first noticed it.
73
And look, I totally get that I asked for a realistic horse and the equine phallus is necessary for reproduction.
74
So maybe Google was just trying to keep it real.
75
But why is it out of its proputium?
76
And why is it so comically large?
77
These are difficult questions Google will have to answer
78
because right now I don't feel safe using Gemini until they fix the alignment.
79
But one thing that definitely doesn't have alignment issues is Macroscope, the sponsor of today's video.
80
Now that coding agents are waterboarding us with a million pull requests per day,
81
the only way to keep up is by using even more AI to review all of them.
82
Which sounds insane until you look at how Macroscope actually works.
83
They built their own AST walkers for the most common programming languages
84
so their agent can get real context on every code change which makes every review faster, cheaper, and more precise.
85
They also run your team's custom rules as native GitHub checks that can block a failing pull request.
86
If a PR passes those checks plus a code review and has a small blast radius,
87
Macroscope approves it without a human ever needing to see it.
88
They're now auto -approving 40 % of all their customers' PRs, which means those developers are 40 % less likely to lobotomize themselves.
89
Try letting Macroscope auto -approve some of your team's PRs for free using the link below.
90
This has been the Code Report, thanks for watching, and I will see you in the next one!
Tải Ứng Dụng
Mọi thứ bạn cần để nói trôi chảy
Chấm điểm AIChấm từng câu nói
Luyện IPAThành thạo mọi âm
Từ vựngMở rộng vốn từ
Game Từ vựngHọc qua chơi
Cùng kênh
C11
The last real programmers are dying out...
Daily ConversationUniversity StudentsWorking Adults
C11
PostgreSQL in 100 Seconds
Daily ConversationWorking Adults
C13
A $6.3 billion open-weight model just got embarrassed by the French...
Daily ConversationUniversity StudentsWorking Adults
C13
Every app on Earth is now open source... whether it likes it or not
Daily ConversationWorking Adults
C13
OpenAI’s lead engineer was secretly a spy...
Daily ConversationUniversity StudentsWorking Adults
C12
Mind-bending new programming language for GPUs just dropped...
Daily ConversationUniversity Students
B26
Intel chips can’t possibly be this bad… 100% crash rate?
American AccentBusiness EnglishUniversity StudentsWorking Adults
C12
Godot in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
B21
Grok 4 pushes humanity closer to AGI… but there’s a problem
American AccentBusiness EnglishUniversity StudentsWorking Adults
C13
Array Map in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
C130
Docker in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
C17
The most interesting "hack" in history...
American AccentBusiness EnglishUniversity StudentsWorking Adults
B23
OpenAI’s new browser feels familiar…
American AccentBusiness EnglishUniversity StudentsWorking Adults
C112
10 weird OSS projects you need right now...
American AccentBusiness EnglishUniversity StudentsWorking Adults
B23
Firefox and Tor hit with 9.8 critical level exploit
American AccentBusiness EnglishUniversity StudentsWorking Adults
B23
5 open source tools that replaced my $320/mo AI stack...
American AccentBusiness EnglishUniversity StudentsWorking Adults
C12
C++ in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
C11
DHH has gone completely off the rails...
American AccentBusiness EnglishUniversity StudentsWorking Adults
C12
Rust in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
B28
An ex-OpenAI researcher just deleted language from the LLM...
American AccentBusiness EnglishUniversity StudentsWorking Adults
FOR YOU
Video gợi ý
C11
65 câu
Did Anthropic Kill Git?
Daily ConversationUniversity StudentsWorking Adults
B21
28 câu
Gemma 4 Just Released - Whats In? In 2026!
Daily ConversationUniversity StudentsWorking Adults
C15
45 câu
The plan to break apart Google... RIP Chrome
American AccentBusiness EnglishDaily ConversationUniversity Students
C110
20 câu
Alexandr Wang on what matters in an age of abundant intelligence
Daily ConversationUniversity StudentsWorking Adults
C11
462 câu
Expensive RTX 5090 for LLMs? NO. Use This Instead. (Tesla V100 SXM2 + Z8 G4, #RACERRRZ)
Daily ConversationUniversity StudentsWorking Adults
C12
182 câu
We Let $200 GPT-Pro Think for 7 Days on Unsolved Math
Daily ConversationUniversity StudentsWorking Adults
C11
68 câu
GitHub Copilot now controls your command line...
Daily ConversationUniversity StudentsWorking Adults
![The Great A.I. Debate: Should We Fear the Digital Revolution? [2015] | Intelligence Squared](https://img.youtube.com/vi/QWUeu3TLZN0/mqdefault.jpg)
C11
183 câu
The Great A.I. Debate: Should We Fear the Digital Revolution? [2015] | Intelligence Squared
Daily ConversationUniversity StudentsWorking Adults
B21
40 câu
Introducing GPT-6 Astra for developers
Daily ConversationUniversity StudentsWorking Adults
C11
207 câu
Go’s Big Mistake
Daily ConversationUniversity StudentsWorking Adults
C11
407 câu
Why AI Tokens are so Expensive - Computerphile
Daily ConversationUniversity StudentsWorking Adults
Từ vựng và ghi chú luyện nói cho bài học này
Bài luyện nói này dựa trên video “Did Google just dethrone OpenAI and Anthropic?”. Những từ được nhắc lại nhiều nhất trong bài: Argon, Gemini, model, Claude, Google. Video này có 90 câu và 1351 từ để luyện shadowing. Phần lời nói dài 6:31. Người nói nói nhanh, khoảng 207 từ mỗi phút, nên sẽ có nhiều chỗ nối âm và nuốt âm. Chỉ 77% số từ nằm trong 3.000 từ tiếng Anh thông dụng nhất, nên từ vựng khá khó.
Từ vựng quan trọng trong video
15 từ đáng học trong video, kèm phiên âm và nghĩa:
| Từ | Phiên âm | Nghĩa |
|---|---|---|
| output danh từ | /ˈaʊtpʊt/ | đầu ra |
| generate động từ | /ˈd͡ʒɛn.ə.ɹeɪt/ | sinh ra, gây ra |
| graphics danh từ | /ˈɡɹæfɪks/ | đồ họa |
| approve động từ | /əˈpɹuːv/ | phê duyệt |
| developer danh từ | /dɪˈvɛləpɚ/ | nhà phát triển |
| scratch động từ | /skɹæt͡ʃ/ | gãi |
| tier danh từ | /ˈtɪɚ/ | tầng, bậc |
| automobile danh từ | /ˈɔː.tə.məˌbil/ | xe hơi, ô tô |
| viewer danh từ | /ˈvju.ɚ/ | khán giả, người xem |
| topic danh từ | /ˈtɑpɪk/ | chủ đề |
| format danh từ | /ˈfɔːɹ.mæt/ | khổ (sách, giấy, bìa) |
| technique danh từ | /tɛkˈniːk/ | kỹ thuật, kĩ thuật |
| offensive tính từ | /ˈɔˌfɛnsɪv/ | xúc phạm, sỉ nhục |
| shock danh từ | /ʃɔk/ | choáng, ngạc nhiên |
| compare động từ | /kəmˈpɛɚ/ | so sánh, so |
Ngữ pháp trong video
Những cấu trúc người nói dùng nhiều nhất, kèm đúng cụm từ trong video:
| Cấu trúc | Trong video |
|---|---|
| Câu bị động be + quá khứ phân từ — nhấn vào việc xảy ra, không phải người làm | was euthanized · was trained · was actually announced |
| Thì hiện tại hoàn thành have/has + quá khứ phân từ — việc đã xảy ra nhưng còn liên quan đến hiện tại | they've ever released · has now changed · has never been |
| Mệnh đề quan hệ who / which + mệnh đề — thêm thông tin về người hoặc vật | Argon, which is · Pro, which was · Benchmark, which is |
Phát âm cần chú ý
Người nói dùng 15 dạng rút gọn, ví dụ you'll, can't, aren't. Hãy nói theo dạng ngắn đúng như bạn nghe.
- Âm “sh” và “zh”: benchmark /ˈbɛn(t)ʃmɑːk/, shock /ʃɔk/, crush /kɹʌʃ/, discretion /dɪˈskɹɛʃən/, reproduction /ˌɹiːpɹəˈdʌkʃən/
- Từ dài — đặt trọng âm cho đúng: developer /dɪˈvɛləpɚ/, automobile /ˈɔː.tə.məˌbil/, technically /ˈtɛk.nɪˌkəl.i/, interactive /ˌɪn.tɚˈæk.tɪv/, reproduction /ˌɹiːpɹəˈdʌkʃən/
Những âm người Việt thường gặp khó:
- Cụm phụ âm cuối — đọc đủ từng âm, đừng nuốt âm cuối: prompt /pɹɑmpt/, graphics /ˈɡɹæfɪks/, alignment /əˈlaɪn.mənt/, rank /ˈɹæŋk/, sand /sænd/
- Âm /tʃ/, /dʒ/ và /ʒ/ — tiếng Việt không có, đừng đọc thành “ch” hay “gi”: generate /ˈd͡ʒɛn.ə.ɹeɪt/, scratch /skɹæt͡ʃ/, mixture /ˈmɪkst͡ʃɚ/, diffusion /dɪˈfju.ʒən/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/
- Âm /æ/ — mở miệng rộng hơn âm “e”: graphics /ˈɡɹæfɪks/, scratch /skɹæt͡ʃ/, format /ˈfɔːɹ.mæt/, rank /ˈɹæŋk/, sand /sænd/
Cách luyện với video này
- Nghe hết video một lần, chưa cần nói, và ghi lại những từ bạn chưa biết.
- Bắt đầu ở tốc độ 0,75×, nói đuổi từng câu, rồi quay lại tốc độ bình thường khi đã quen.
- Ghi âm giọng mình rồi so với bản gốc, chú ý các từ như output, generate, graphics.
Phương Pháp Shadowing Là Gì?
Shadowing là kỹ thuật học ngôn ngữ có cơ sở khoa học, ban đầu được phát triển cho chương trình đào tạo phiên dịch viên chuyên nghiệp và được phổ biến rộng rãi bởi nhà đa ngôn ngữ học Dr. Alexander Arguelles. Nguyên lý cốt lõi đơn giản nhưng cực kỳ hiệu quả: bạn nghe tiếng Anh của người bản xứ và lặp lại to ngay lập tức — như một "cái bóng" (shadow) đuổi theo người nói với độ trễ chỉ 1–2 giây. Khác với luyện ngữ pháp hay học từ vựng bị động, Shadowing buộc não bộ và cơ miệng phải đồng thời xử lý và tái tạo ngôn ngữ thực tế. Các nghiên cứu khoa học xác nhận phương pháp này cải thiện đáng kể phát âm, ngữ điệu, nhịp điệu, nối âm, kỹ năng nghe và độ lưu loát khi nói — đặc biệt hiệu quả cho người luyện IELTS Speaking và muốn giao tiếp tiếng Anh tự nhiên như người bản ngữ.