シャドーイング練習: Inside Bracket22, A Trading Firm Powered By Al Agents - 動画で英語スピーキングを学ぶ
レッスンを作成中...
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.
17
Okay, so we start here, we've got Houston.
18
He's mission control.
19
He's in charge of everything.
20
He talks to all these bots.
21
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.
24
He's in charge of the red team.
25
Once we've done all the research, we say attack this entire thesis.
26
See if you can break it.
27
Then down here, we have Steffi, Steffi Gratt.
28
She's the technical analyst.
29
She'll mark up charts for us.
30
They used to have about seven or eight employees all around the world.
31
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.
35
And that's with every AI agent.
36
That's with all my compute.
37
That's with everything I need to completely replicate a hedge fund completely with AI.
38
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.
41
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.
📺 同じチャンネル
B27
How Walmart Is Hoping Its New Tech Will Help Shoppers And Employees
Business EnglishWorking Adults
B21
Mike Rowe: Why The Skills Gap And Job Shortage Persists
Business EnglishInterview EnglishWorking Adults
B25
How Meta Will Enforce New Age And Time Limits On Instagram And Facebook
Business EnglishTeensDaily Conversation
B217
How AI Is Killing The Value Of A College Degree
Business EnglishInterview EnglishUniversity Students
B24
Who Is Funding Pres. Trump’s Freedom 250 Celebrations?
Business EnglishDaily ConversationUniversity Students
B28
Will Japan's Recession Affect America? | CNBC
Business EnglishUniversity StudentsWorking Adults
B21
Why Corporate America Is Spending More On Security
Business EnglishWorking Adults
B24
Why The Airline Business Is Broken
Business EnglishUniversity StudentsWorking Adults
B21
Why Hyundai’s Investing $26B In The U.S.
Business EnglishWorking Adults
B22
Why Even High Earners Are Living Paycheck To Paycheck
Business EnglishWorking Adults
B24
How Walmart Is Beating Everyone In Groceries
Business EnglishWorking Adults
B25
Inside The Real Estate Rush Behind AI
Business EnglishDaily ConversationUniversity Students
B23
How Working For Google, Amazon, And Microsoft Lost 'Dream Job' Status
Business EnglishInterview EnglishUniversity Students
B26
How Chinese EVs Won Brazil — And Left U.S. Automakers Behind
Business EnglishUniversity StudentsWorking Adults
B22
Why Airline Ticket Prices Are Unlikely To Go Down
Travel EnglishWorking Adults
B21
Where Did Americans’ Savings Go?
Business EnglishUniversity StudentsWorking Adults
B22
How Chinese Luckin Is Taking On Starbucks In the U.S.
Business EnglishUniversity StudentsWorking Adults
B26
How Amazon Delivers On One-Day Shipping
Business EnglishUniversity StudentsWorking Adults
B21
Why Timeshares Aren’t Worth It
Business EnglishWorking Adults
B28
Why Americans Are Buying Fewer Groceries
Business EnglishWorking Adults
✨ おすすめ動画
B2406 文
24 Hours Inside a $47M YC AI-native Insurance Startup
Business EnglishWorking Adults
B21
268 文
Learn 97% of Claude in Under 16 Minutes
Business EnglishUniversity StudentsWorking Adults
B25
43 文
Explaining Your Job To Your Boomer Boss | Mr. Robot
Business EnglishInterview EnglishWorking Adults
B21
339 文
The (Overdue) Collapse of AI Layoffs (here's the proof)
Business EnglishInterview EnglishUniversity Students
B223 文
AI Made the Most Passive Side Hustle Even Easier
Business EnglishUniversity StudentsWorking Adults
C11
190 文
Trading Strategist: The Prop Firm Edge Isn't Your Strategy, It's How You Manage The Accounts!
Business EnglishUniversity StudentsWorking Adults
B21
311 文
I bought Black Market AI Tokens on Chinese Amazon
Business EnglishUniversity StudentsWorking Adults
B21
169 文
Can This Vibe Coder Beat a Senior Developer?
Business EnglishUniversity StudentsWorking Adults
B21
57 文
William Blair’s Louie DiPalma: We estimate SpaceX will spend about $50 billion on AI capex this year
Business EnglishDaily ConversationUniversity Students
B21
40 文
I MADE $15B WITH CHAT GPT
Business EnglishDaily ConversationUniversity Students
B21
224 文
How Tech Salaries Work 💸, AI Chat with Google UX Lead, I'm moving?| Biz Analyst Diary
Business EnglishInterview EnglishUniversity Students
B21
179 文
Design The Perfect Offer in Under 10 Minutes
Business EnglishWorking Adults
このレッスンの語彙とスピーキングのポイント
このB2レベルのスピーキングレッスンは、動画「Inside Bracket22, A Trading Firm Powered By Al Agents」を教材にしています。 繰り返し出てくる語は次のとおりです：agent, fund, chart, bots, hedge。 この動画には、シャドーイング用の文が61文、単語が747語あります。 音声の長さは3:55です。 話す速さは速く、1分あたり約191語です。音のつながりや弱く発音される音が多くなります。 単語の84%は英語の頻出3,000語に含まれます。残りは練習の前に確認しておきましょう。
この動画の重要語彙
動画の中で特に難しい単語10語を、発音と意味つきで紹介します。
| 単語 | 発音 | 意味 |
|---|---|---|
| hedge 名詞 | /ˈhɛd͡ʒ/ | 垣根 |
| bot 名詞 | /bɑt/ | ボット, ロボット |
| compute 動詞 | /kəmˈpjuːt/ | 計算する |
| neuron 名詞 | /ˈn(j)ʊɹɑn/ | 神経細胞 |
| node 名詞 | /noʊd/ | 結節 |
| pasta 名詞 | /ˈpɑ.stə/ | パスタ |
| creativity 名詞 | /kri.eɪˈtɪv.ᵻ.ti/ | 創造性, 創造力 |
| thesis 名詞 | /ˈθisɪs/ | テーゼ, 論題 |
| someday 副詞 | いつか | |
| penny 名詞 | /ˈpɛni/ | ペニー |
動画に出てくる句動詞
| 単語 | 発音 | 意味 |
|---|---|---|
| come back 動詞 | 戻る, 帰る | |
| wake up 動詞 | /ˌweɪk ˈʌp/ | 目覚める, 目を覚ます |
繰り返し練習したい文
動画に出てくる短く完結した文です。日常会話でそのまま使えます。
- Let's take a look at a couple of these.
- She'll mark up charts for us.
- That's with all my compute.
注意したい発音
話し手はwe've, they're, I'mなど、短縮形や弱形を15回使っています。聞こえたとおりの短い形で発音しましょう。
この動画での練習方法
- まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
- まず0.75倍速で一文ずつシャドーイングし、慣れてきたら通常の速度に戻します。
- 自分の声を録音して元の音声と比べます。hedge, bot, computeなどの単語に特に注意しましょう。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。