跟读练习: Inside Bracket22, A Trading Firm Powered By Al Agents - 通过视频学习英语口语
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1
Hey, Houston, show me the charts from the work that Desmond did this weekend, the strategies we tested.
2
OK, so here's the charts.
3
He just pulled them up.
4
Let's take a look at a couple of these.
5
AI has completely changed what my office looks like.
6
When I was running the crypto fund, I had about seven or eight employees there every single day.
7
We had offices around the world.
8
We had people in Hong Kong.
9
We had people in California.
10
And we ran an operation that ran 24-7.
11
I closed the hedge fund about 16, 16, 18 months ago and decided to take some time off from there.
12
And in about November of 2025, when Opus, I think it was Opus 4.6 came out with Claude, that's when I started to really heavily use AI.
13
And it was really at first just to, I would take a chart, copy and paste it into AI and say, hey, read this chart and give me a technical analysis on it.
14
Now that I've closed the fund, I basically replicated the staff that I had at the fund with AI agents.
15
And so now AI agents monitor everything for me 24 hours a day.
16
Let's meet the employees now, or my AI bots.
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Okay, so we start here, we've got Houston.
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He's mission control.
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He's in charge of everything.
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He talks to all these bots.
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All these bots come back and talk to him.
22
He can do everything from research to running the firm.
23
We've got Ducey, who's next on the list.
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He's in charge of the red team.
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Once we've done all the research, we say attack this entire thesis.
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See if you can break it.
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Then down here, we have Steffi, Steffi Gratt.
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She's the technical analyst.
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She'll mark up charts for us.
30
They used to have about seven or eight employees all around the world.
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A lot of them were based in New York pre-COVID.
32
And between their salaries and compute and healthcare and everything like that, My payroll is well into the millions of dollars per year.
33
I mean, these are highly talented people and they deserved every penny that they got.
34
Now, when I'm using AI, I run somewhere around 30 to $40,000 a year total.
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And that's with every AI agent.
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That's with all my compute.
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That's with everything I need to completely replicate a hedge fund completely with AI.
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I would estimate I'm at least 10 times more productive with my AI agents.
39
So now if you take a staff of 100, you've got a staff of 1,000.
40
So it's not necessarily just, hey, you can replace everybody with AI agents.
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you can make your existing employees at least 10 times, maybe more, more productive.
42
Thanks for that, Houston.
43
File that away so everybody can see those things.
44
Hey, Steffi, are there any other interesting patterns on this chart that I need to know about?
45
So here's the corporate brain.
46
Each one of these nodes, each one of these dots is a piece of information that's come into the firm, whether it be research, every trade we've done, every email that comes in.
47
It's connected to everything else in the firm, almost like neurons.
48
The best thing about working with AI agents or AI bots is
49
that I can ask them a question any time of the day.
50
If it's 3 o'clock in the morning and I wake up and have an idea or have a thought, I can just ping them and say, hey, check this out.
51
I don't have to worry about waking somebody up in the middle of the night, which I may or may not have done in the past.
52
So I think the future of Wall Street looks something like this.
53
And I've talked to people that are working at big hedge funds now, and they're doing something like this.
54
They're all doing their own version of using an AI agent.
55
What I think Wall Street looks like is one single hedge fund manager working with maybe one
56
or two people under them and then working with a swarm of agents under
57
that but my job as the human being is to be one step ahead of it on creativity
58
so far ai agents haven't been able to do that
59
so they're much more of a tool in the whole process rather than a replacement of it
60
but you know what maybe someday it that happens and um you know
61
Old BK will just have to be at the beach.
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本课的词汇与口语要点
这节 B2 级别的口语课以视频“Inside Bracket22, A Trading Firm Powered By Al Agents”为素材。 视频中反复出现的词有：agent, fund, chart, bots, hedge。 这段视频共有 61 个句子、747 个单词可供跟读。 讲话部分时长为 3:55。 说话人语速较快，每分钟约 191 个词，会出现较多连读和弱读。 84% 的单词属于英语最常用的 3,000 词，其余的词建议在练习前先学一下。
视频中的重点词汇
视频中最难的 11 个单词，附发音和释义：
| 单词 | 发音 | 释义 |
|---|---|---|
| hedge 名词 | /ˈhɛd͡ʒ/ | 籬牆 /篱墙, 樹籬 /树篱 |
| bot 名词 | /bɑt/ | 機器人 /机器人 |
| compute 动词 | /kəmˈpjuːt/ | 計算 /计算 |
| neuron 名词 | /ˈn(j)ʊɹɑn/ | 神經細胞 /神经细胞, 神經元 /神经元 |
| ping 动词 | /pɪŋ/ | ping |
| node 名词 | /noʊd/ | 結節 /结节 |
| pasta 名词 | /ˈpɑ.stə/ | мянфан, 意大利麵 /意大利面 |
| creativity 名词 | /kri.eɪˈtɪv.ᵻ.ti/ | 創造力 /创造力, 創造性 /创造性 |
| thesis 名词 | /ˈθisɪs/ | 論點 /论点, 論題 /论题 |
| someday 副词 | 日後 /日后, 有一天 | |
| penny 名词 | /ˈpɛni/ | 便士 |
视频中出现的短语动词
| 单词 | 发音 | 释义 |
|---|---|---|
| come back 动词 | 回來 /回来, 返回 | |
| wake up 动词 | /ˌweɪk ˈʌp/ | 醒, 醒來 /醒来 |
值得反复跟读的句子
视频中简短而完整的句子，可以直接用在日常对话里：
- Let's take a look at a couple of these.
- She'll mark up charts for us.
- That's with all my compute.
需要注意的发音
说话人用了 15 次缩略和弱读形式，例如 we've, they're, I'm。请按听到的简短形式来说。
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 hedge, bot, compute 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。