跟讀練習: Inside Bracket22, A Trading Firm Powered By Al Agents - 通過影片學習英語口語

選擇練習模式

每種模式都會開啟全屏練習室。

61 句

如果句子過短或過長，請點選 Edit 進行調整。

Hey, Houston, show me the charts from the work that Desmond did this weekend, the strategies we tested.

OK, so here's the charts.

He just pulled them up.

Let's take a look at a couple of these.

AI has completely changed what my office looks like.

When I was running the crypto fund, I had about seven or eight employees there every single day.

We had offices around the world.

We had people in Hong Kong.

We had people in California.

And we ran an operation that ran 24-7.

I closed the hedge fund about 16, 16, 18 months ago and decided to take some time off from there.

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.

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.

Now that I've closed the fund, I basically replicated the staff that I had at the fund with AI agents.

And so now AI agents monitor everything for me 24 hours a day.

Let's meet the employees now, or my AI bots.

Okay, so we start here, we've got Houston.

He's mission control.

He's in charge of everything.

He talks to all these bots.

All these bots come back and talk to him.

He can do everything from research to running the firm.

We've got Ducey, who's next on the list.

He's in charge of the red team.

Once we've done all the research, we say attack this entire thesis.

See if you can break it.

Then down here, we have Steffi, Steffi Gratt.

She's the technical analyst.

She'll mark up charts for us.

They used to have about seven or eight employees all around the world.

A lot of them were based in New York pre-COVID.

And between their salaries and compute and healthcare and everything like that, My payroll is well into the millions of dollars per year.

I mean, these are highly talented people and they deserved every penny that they got.

Now, when I'm using AI, I run somewhere around 30 to $40,000 a year total.

And that's with every AI agent.

That's with all my compute.

That's with everything I need to completely replicate a hedge fund completely with AI.

I would estimate I'm at least 10 times more productive with my AI agents.

So now if you take a staff of 100, you've got a staff of 1,000.

So it's not necessarily just, hey, you can replace everybody with AI agents.

you can make your existing employees at least 10 times, maybe more, more productive.

Thanks for that, Houston.

File that away so everybody can see those things.

Hey, Steffi, are there any other interesting patterns on this chart that I need to know about?

So here's the corporate brain.

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.

It's connected to everything else in the firm, almost like neurons.

The best thing about working with AI agents or AI bots is

that I can ask them a question any time of the day.

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.

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.

So I think the future of Wall Street looks something like this.

And I've talked to people that are working at big hedge funds now, and they're doing something like this.

They're all doing their own version of using an AI agent.

What I think Wall Street looks like is one single hedge fund manager working with maybe one

or two people under them and then working with a swarm of agents under

that but my job as the human being is to be one step ahead of it on creativity

so far ai agents haven't been able to do that

so they're much more of a tool in the whole process rather than a replacement of it

but you know what maybe someday it that happens and um you know

Old BK will just have to be at the beach.

下載應用

流利口語所需的一切

AI 發音評分逐句打分

音標練習掌握每個音

詞彙學習建立你的詞庫

詞彙遊戲邊玩邊學

掃碼

Download on theApp Store Get it onGoogle Play

同頻道

FOR YOU

本課的詞彙與口語要點

這節 B2 級別的口語課以影片“Inside Bracket22, A Trading Firm Powered By Al Agents”為素材。影片中反覆出現的詞有：agent, fund, chart, bots, hedge。這段影片共有 61 個句子、747 個單詞可供跟讀。講話部分時長為 3:55。說話人語速較快，每分鐘約 191 個詞，會出現較多連讀和弱讀。 84% 的單詞屬於英語最常用的 3,000 詞，其餘的詞建議在練習前先學一下。

影片中的重點詞彙

影片中最難的 11 個單詞，附發音和釋義：

單詞	發音	釋義
hedge 名詞	/ˈhɛd͡ʒ/	籬牆 /籬牆, 樹籬 /樹籬
bot 名詞	/bɑt/	機器人 /機器人
compute 動詞	/kəmˈpjuːt/	計算 /計算
neuron 名詞	/ˈn(j)ʊɹɑn/	神經細胞 /神經細胞, 神經元 /神經元
ping 動詞	/pɪŋ/	ping
node 名詞	/noʊd/	結節 /結節
pasta 名詞	/ˈpɑ.stə/	мянфан, 義大利麵 /義大利麵
creativity 名詞	/kri.eɪˈtɪv.ᵻ.ti/	創造力 /創造力, 創造性 /創造性
thesis 名詞	/ˈθisɪs/	論點 /論點, 論題 /論題
someday 副詞		日後 /日後, 有一天
penny 名詞	/ˈpɛni/	便士

影片中出現的短語動詞

單詞	發音	釋義
come back 動詞		回來 /回來, 返回
wake up 動詞	/ˌweɪk ˈʌp/	醒, 醒來 /醒來

值得反覆跟讀的句子

影片中簡短而完整的句子，可以直接用在日常對話裡：

Let's take a look at a couple of these.
She'll mark up charts for us.
That's with all my compute.

需要注意的發音

說話人用了 15 次縮略和弱讀形式，例如 we've, they're, I'm。請按聽到的簡短形式來說。

如何用這段影片練習

先完整聽一遍影片，不要開口，記下不認識的單詞。
先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
錄下自己的聲音並與原聲對比，特別注意 hedge, bot, compute 這類單詞。

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: Inside Bracket22, A Trading Firm Powered By Al Agents - 通過影片學習英語口語

選擇練習模式

下載應用

Why Retailers Are Shrinking Their Assortments

Watch AI Dock A Boat

The Race To Power AI Is Reshaping America's Electric Grid

Why 7-Eleven Failed In Indonesia

How AI Is Killing The Value Of A College Degree

Why Corporate America Is Spending More On Security

How Cheap Mortgages Are Backfiring On Homeowners

Why The Airline Business Is Broken

Why Hyundai’s Investing $26B In The U.S.

Why Even High Earners Are Living Paycheck To Paycheck

How Walmart Is Beating Everyone In Groceries

Inside The Real Estate Rush Behind AI

How Working For Google, Amazon, And Microsoft Lost 'Dream Job' Status

How Walmart Is Hoping Its New Tech Will Help Shoppers And Employees

How Chinese EVs Won Brazil — And Left U.S. Automakers Behind

Why Airline Ticket Prices Are Unlikely To Go Down

Where Did Americans’ Savings Go?

How Chinese Luckin Is Taking On Starbucks In the U.S.

How Amazon Delivers On One-Day Shipping

Why Timeshares Aren’t Worth It

24 Hours Inside a $47M YC AI-native Insurance Startup

Learn 97% of Claude in Under 16 Minutes

10 AI Sales Tools That Will Make You Question Everything You Know

How Tech Salaries Work 💸, AI Chat with Google UX Lead, I'm moving?| Biz Analyst Diary

How Retail Investors Are Using AI To Make Trades

Give me 12 minutes, I'll open your eyes to how to actually become rich using AI

Inside a warehouse run by AI robots

Conference Call: Talking Through the Quarterly Figures

Elon was my only customer of our Al Supercomputer #jensenhuang #elonmusk #openai

She learned one new skill that unlocked a $120K salary

NEW GoHighLevel Voice AI Agent Tutorial 2026 (BEST Features & Upgrades)

Announcing Profound's Series C: $96M at $1B Valuation