CZ spoke up—maybe it’s time to calm down a bit. Over the past two days, domestic media has completely gone wild: headlines, Douyin, and Xiaohongshu are all covered by the egg incident! Even the elderly couple downstairs are joyfully chatting about the gossip between Jing Tian and Sun Yuchen. What everyone cares about most is that it turns out trading coins is so profitable—Sun Ge is so young and yet has hundreds of billions! Some people say it’s a few trillion, or even tens of trillions! It’s all gone viral! I have no choice but to slip out on the edge, afraid that someone will stop me and ask, “Your coin-trading time seems even longer than Sun Yuchen’s. How much did you make? Why do you still look so poor?” $SOL
The precious footage of Sun Yuchen during his time studying in the U.S., and how well he got along with his classmates! Listen to what his dreams were back then $TRX
A broke loser whose place of birth is even unknown to anyone built, in Hong Kong, a billion-yuan business empire in 4 years
A broke loser whose place of birth is even unknown to anyone—he built, in Hong Kong, a billion-yuan business empire in 4 years. Banks clamored to get him money, investors lined up to send him money. In the end, he walked away with his entire body intact, bearing a debt of HK$10.6 billion. He lived in a mansion in Clearwater Bay worth 40 million. Yet the auditors who investigated his accounts died in a banana plantation. His name is Chan Chung Ching—chairman of the Carolina Group—the inspiration for the movie “Golden Hand”—the protagonist of Hong Kong’s biggest fraud case. A few years ago, he was even more glamorous than Li Ka-shing. He spanned real estate, shipping, tourism, hotels, insurance, finance, dining, and entertainment; his business covered six countries. Finally, in plain view of everyone, he was released as not guilty by the court of first instance.
23 Minutes VS One Week—GOAT Returns Bitcoin’s Right to Exit to Bitcoin
Let’s start with a number: 23 minutes.
When Liquid went wrong, the attacker went from starting the action to completely taking the funds away in just 23 minutes—throughout the entire process, no one on-chain had time to raise any doubts.
It’s the same with Bitcoin sidechains and the same "anchored asset": Liquid’s entire exit process took only 23 minutes, whereas in the design of the GOAT BitVM3 bridge, every withdrawal must publicly accept a challenge on Bitcoin, and it takes at least a week to be finalized. Once someone raises a dispute, the frozen time for that exit will be even longer.
23 minutes and at least a week—putting these two numbers together, you can actually explain the most convoluted problem about Bitcoin Layer 2 over the years.
Heads up—this month there’s a trip to the APAC region 🙋
I just saw Yaya @yayabinance share a money-saving one—when booking your itinerary, go through #币安支付 . There’s an activity!
Basically two options:
1️⃣ Get a straight discount Book on Travala or XPIN Network (flights, hotels, eSIMs, etc. all count). Spend at least 5 USDT to check out and get 25% off instantly. Max saving per person is 10 USDT. Limited spots—first come, first served. ⚡
2️⃣ Chase the leaderboard for USDT rewards During the activity period, if your cumulative spending at the designated merchants reaches 500 USDT, you’ll be added to the leaderboard. The top 150 get cash back—Rank 1–10: 250 USDT, 11–30: 100 USDT, 31–60: 70 USDT, 61–100: 50 USDT, 101–150: 28 USDT. 💸 Rewards are credited within 30 days after the activity ends.
⏰ Time: Sep 1, 09:00 — Oct 1, 07:59 (UTC+8)
Anyway, if you were going to book it already, just switch your payment method along the way~ Note: refunds/cancellations don’t count. See the official terms for details. Let’s go ✈️ https://binance.com/register?ref=T1020
It seems everyone really likes my desktop AI girlfriend. Let’s call her again: “Doubao, where’s your scarf?” On a cold rainy night, you’re no longer alone $SOL
Binance Research: Crypto total market capitalization rose 17.6% in August to $2.70 trillion, with ETF inflows hitting the strongest level in 2026 Binance Research’s September monthly market report shows that in August, the total crypto market capitalization increased 17.6% to $2.70 trillion, while ETF capital inflows recorded the strongest performance since 2026. BTC rose 24.8% within seven days, ranking among the top 1% of weekly gains since 2020. In terms of users’ asset allocation, the share of crypto allocation among stock-holders increased from 64% to 72%, while stablecoin allocation decreased by 22%. The share of trading volume for TradFi perpetual futures contracts fell from 40% to 20%, with funds and trading activity clearly flowing back into crypto assets. $BNB
Mu Tou-jie bought a little Robinhood—just a bit, a tiny amount. After selling down for nine days, Cathie Wood re-entered Robinhood, adding $3.5 million. Cathie Wood returned to buy Robinhood again after a 9-day gap. On September 4, through the ARK Innovation ETF, she added 28,589 shares worth approximately $3.5 million. Previously, she had trimmed 25,009 shares on August 26.
Robinhood has performed strongly recently. Over the past month, the stock price has risen more than 30%. In the same period, Bitcoin climbed about 23% and has neared $80,000. On September 4, Deutsche Bank raised its target price from $115 to $136 and maintained a "Buy" rating. The main reason is the explosive growth in Robinhood Chain fee revenue—daily revenue jumped from under $200,000 in mid-August to over $3 million in early September. Deutsche Bank expects the annualized run rate to exceed $100 million.
As of September 4, HOOD has become the seventh-largest holding in the ARK Innovation ETF, with a weight of 4.28%. During the same period, Wood also bought Veracyte, Intellia Therapeutics, and the 3iQ Solana Staking ETF, while trimming Tempus AI and Twist Bioscience. $SOL
It’s necessary to check the latest news every day; sometimes it can suddenly jolt you awake. When I just saw this news item, I quietly opened a ZEC short position at a price of 1816.23, digging into Garrett Jin’s old playbook. I hope I can make enough by tomorrow morning to earn a Jianbing guozi (Chinese-style savory crepe) money. $ZEC
The truth is a bit painful: 95.2% of traders lose money or earn less than $100, and only 0.06% of users on Robinhood Chain are in profit over $10,000 Since Robinhood Chain launched, among Meme coin trading users, about 95.2% have losses or profits of less than $100. Out of 375,740 users, only 229 have profits exceeding $10,000—about 0.06%. Additionally, 653 users have profits exceeding $5,000, accounting for 0.17%. $SOL
Rich Dad in $1.2B Debt, Lin Yuan Loses 90%, Li Bei Gets Wiped Out: Why Wealth Mentors Have Collectively Failed
In 1997, Robert Kiyosaki self-published a book (Rich Dad Poor Dad) to teach the whole world how to get rich. The most famous line in the book is: The rich buy assets; the poor only have expenses.
More than twenty years later, this book has sold over 44 million copies, been translated into more than 40 languages, and has become a shared financial self-help primer for the post-80s and post-90s. When we first entered the workplace, almost everyone treated this book as gospel.
Last month, in a podcast, this “Rich Dad” casually dropped a line: “I’m currently in debt of $1.2 billion.”
The person who teaches you how to get rich has piled up a huge amount of debt himself—this sounds pretty ironic. But don’t rush to laugh at him, because on closer inspection, the “wealth mentor” who recently got exposed isn’t the only one.
GOAT Flow: Selling products to AI agents, with the barrier lowered to the level of opening a social media account
Gartner @Gartner_inc predicts that by 2028, $15 trillion in global B2B procurement will be completed through AI agents. What does that number mean? It is higher than the annual GDP of many countries. And McKinsey's forecast for the retail side is that by 2030, the market size in this area will reach $5 trillion. Putting these two sets of data together makes one thing clear: AI agents are no longer toys in the lab; they are becoming real buyers, holding wallets in their hands and ready to place orders. The question is, who will help these AI agents figure out what to buy, where to buy it, and how to pay?