跟Leo看AI

A recent article in The Wall Street Journal revealed a surreal paradox: many U.S. public pension funds are increasingly relying on AI stocks to make money, while the politicians who oversee those funds are leading the opposition to the AI industry 🙅⚠️
Since ChatGPT launched in late 2022, 13 major U.S. public pension funds have made $138 billion in paper gains from AI stocks. AI-related stocks such as Nvidia, Microsoft, Google, and Amazon have risen from 12% to 27%. AI stocks have accounted for about 57% of these funds’ gains in U.S. equities. And that doesn’t even include the AI assets they indirectly hold through foreign stocks, private equity, and private debt.
Meanwhile, what are these politicians doing?
New York has paused new data center construction, even as AI holdings in the state’s retirement fund keep rising.
Pennsylvania’s state treasurer opposes expanding data centers, yet the pension fund he oversees holds billions of dollars in AI assets.
California union leaders are calling on pension funds to consider AI’s harm to workers, while the state’s $650 billion fund is investing $500 million in data center companies.
New York’s comptroller is pressuring tech companies on behalf of residents, complaining that they’re hogging electricity, land, and water, while the fund he oversees is making money from those same companies.
Here’s the contradiction: for AI companies to sustain their current stock prices, they have to keep building data centers, expanding power grids, and constructing power plants. If local governments really block data center development, AI growth could slow down. If AI stocks fall, these pension funds would be among the first to get hurt. And behind them are the retirement savings of public servants like teachers and firefighters.
So AI infrastructure really can’t stop now. If it does, the whole world is going to go down with it, right...? #Aİ $NVDAB $AMZNB $MSFTB

#kimchi Rumored to have made $40 million on TRUMP, who exactly is “Kimchi Bro”? 💰👀
A young guy has recently become a sensation in crypto circles. He never adds captions to his photos: he’s either on a private jet or showing off luxury cars, watches, and Hermès. A single photo gets tens of millions of views, and even rapper Gunna has reposted his photos.
His name is Clayton Kim, and people in the scene call him “Kimchi.”
His story sounds like a rags-to-riches fantasy. Reportedly, he had only a few hundred dollars as recently as April 2024.
He started out trading meme coins on Solana, taking a heavy loss on POPCAT. Later, he switched to short-term trading, putting in 15 hours a day, seven days a week.
In January 2025, $TRUMP launched, and rumors began circulating that he made around $40 million from the boom. Since then, he has stopped sharing his wallets and trading records publicly. All that’s left on his social media are photos of his lavish lifestyle.
But there’s a catch: to this day, there’s no evidence that he made those $40 million. Blockchain transactions are public, and a profit that large could generally be traced to specific wallets. Yet blockchain analysts still haven’t found any wallets linked to him. Some on-chain investigations suggest that his wallets mainly used automated sniping and short-term arbitrage on various low-cap meme coins, rather than making a fortune from one big trade.
This week, Pump.fun announced that he had become a creative advisor to the platform and even put up street ads saying, “Be the next Kimchi.” Around the same time, a token with the same name, $KIMCHI, launched. Within an hour, its market cap surged to $45 million, and his wallet showed unrealized gains of more than $25 million.
But on-chain data shows that as soon as the token launched, 75% of its total supply was transferred into his wallet, and all the trading fees went to him as well.
So, is Kimchi really a millionaire? He has probably made money, and his lavish lifestyle is real. But the “$40 million” story remains unproven, and $KIMCHI looks more like a carefully packaged marketing stunt.

Shenzhen’s top high school student!! Already earning 7 million a year at just 17 💥💰

Latest reports claim that Kimi “genius prodigy” Chen Guangyu has seemingly joined U.S. AI startup Discovery Loop, whose founding team is made up entirely of former Google veterans.

Born in Shenzhen in 2009, Chen joined Kimi as an intern in November 2025 and worked on model architecture research. In March 2026, he co-authored the paper “Attention Residuals.” The attention residual architecture proposed in the paper was later used in Kimi K3 and publicly praised by Elon Musk 👍

Discovery Loop was co-founded by four former key Google figures: Jeff Dean, Sanjay Ghemawat, Oriol Vinyals, and Quoc Le. Its first funding round was led by Radical Ventures and Khosla Ventures, with Google parent company Alphabet also among the founding investors. The company is reportedly seeking a new funding round at a valuation of around $50 billion.

Mt. Gox has been delayed yet again, with the repayment deadline pushed back to October 31, 2027.

The official reason is that quite a few creditors still haven’t completed registration and verification, and there have also been issues with some payments. Mt. Gox was hacked more than ten years ago 👇👇

2014: Japan-based exchange Mt. Gox was hacked, with around 850,000 bitcoins stolen. It subsequently went bankrupt.

July 2024: Mt. Gox officially began repaying creditors in BTC through platforms including Kraken, Bitstamp, BitGo, Bitbank, and SBI VC Trade. More than 90,000 BTC were transferred out in a single month.

Since 2023: The deadline has been extended four times in a row, pushed back from 2023 all the way to 2027.

Of the 142,000 BTC available for repayments, nearly 110,000 bitcoins have already been paid out, leaving around 34,000 in the trustee’s wallet. This suggests that the selling pressure on the market from Mt. Gox repayments is far less significant than it once was. #门头沟还款再度延期

🐮😱 The wildest documentary ever? A new film released overseas, <i>You Can See Everything</i>, has earned the highest rating on MTC in nearly 10 years—and it’s a real documentary.

The film’s subject is Elizabeth Holmes, the central figure in Silicon Valley’s shocking fraud. At 19, she dropped out of Stanford to start a company, building its valuation up to $9 billion—on par with Tesla at the time. It turned out that the company had been a scam from start to finish❗️

The film was shot 34 days before she began serving her prison sentence. Holmes appears in it herself, offering a glimpse into her everyday life through interviews and footage that follows her around. In light of what she did, combined with those signature wide-open eyes that barely blink, the whole film has a chilling, spine-tingling feel.

Let’s take a look back at the scam👇👇

In 2003, Holmes founded the blood-testing company Theranos, claiming it could run hundreds of tests using just a few drops of blood from a fingertip. With that story—and an image carefully modeled on Steve Jobs—she brought political heavyweights like Henry Kissinger and George Shultz onto the board. By 2014, the company was valued at around $9 billion, making her the world’s youngest self-made female billionaire. But the technology had never actually worked. The company secretly used modified commercial machines to test samples, deceived investors and regulators, and sent inaccurate test results to real patients.

In 2015, Wall Street Journal reporter John Carreyrou exposed the scam based on tips from company insiders. Theranos dissolved in 2018. In 2022, Holmes was sentenced to 11 years and 3 months in prison for defrauding investors, and she is still serving her sentence. The case also became the most famous cautionary tale of Silicon Valley’s “fake it till you make it” culture. #骗局 #你能看到一切

The quantum threat is back—and this time, it seems different!!🚨🚨

A couple of days ago, Anthropic published a paper on quantum computing titled “AI Designs More Efficient Quantum Circuits, Bringing Applications in Chemistry and Materials Science Closer.”

But the most detailed of the paper’s eight tasks was 256-bit elliptic-curve point addition. It’s a key step in using quantum computers to break the elliptic-curve discrete logarithm problem, and elliptic curves are exactly what the signatures for $BTC and $ETH use.

What did the task involve?
1. Claude Mythos 5 was given only a brief specification and an automated scorer (number of qubits × number of gates), then left to iterate in a closed loop on its own, with virtually no human intervention.
2. The most expensive step in point addition is modular inversion. Claude ran for 53 hours and produced the first reversible divsteps implementation that doesn’t need to store branch history. It also proved several new algebraic identities on its own and formally verified them using Lean.
3. Compared with the smallest design to date, it used 12% more qubits but 17 times fewer gates.
4. It also reduced the gate count of DQI’s Reed–Solomon decoder to one-twelfth of Google’s previous design.
5. For historical context: the estimated number of Toffoli gates needed to simulate FeMoco was around 50 trillion in 2017. It has now fallen to about 340 million—a reduction of roughly 150,000 times. This was mainly achieved through eight years of incremental algorithmic improvements by multiple research groups, with each step taking months.
By contrast, Claude’s elliptic-curve design took just one 53-hour run.

In other words, in just 53 hours, AI made a key step toward quantum attacks on BTC and ETH signatures more resource-efficient. Your cryptocurrency isn’t at risk of being stolen just yet, but the quantum threat may arrive sooner than people expect.

Once the hardware catches up, addresses whose public keys have already been exposed on-chain will be the first at risk. The upgrade to post-quantum signatures can’t be put off any longer!!

#AI Could CoreWeave become the AI industry's “subprime bomb”? 🚨⚠️ This time, Jensen Huang's reassurances may not be enough.

Lately, Huang has been trying to shore up market confidence: the current turbulence will eventually pass, AI will transform every industry, and we're still at the beginning.

But Wall Street is no longer asking whether AI is useful. It's asking: how long will it take to earn back all the money borrowed to buy GPUs?

CoreWeave's expansion model is simple: buy GPUs, sign long-term computing contracts, then use those contracts and assets to raise financing and buy more GPUs. As long as customers pay on time and financing keeps flowing, the cycle can continue.

The problem is that if power shortages delay deliveries, revenue could be pushed back while interest payments still come due. Older GPUs also lose value as the technology advances. If new orders slow and renewal prices fall, making money and borrowing money could both become harder.

Revenue falls short of expectations, and borrowing gets more expensive; borrowing gets more expensive, and repaying debt gets harder. That's the “death spiral” the market fears—not just a few days of falling share prices.

Jensen Huang certainly has good reason to be bullish on AI. But Nvidia making money by selling GPUs doesn't mean the companies buying them will make their money back.

Long-term contracts and continued demand could support this business model, so it's too early to declare a “subprime crisis.” But to dispel market doubts, CoreWeave needs to show cash flow—not ask for faith.

Musk really is at the forefront of human progress. Just look at the things he’s working on: rockets, Starlink, new energy vehicles, data centers in outer space—each concept is big enough to inspire its own Hollywood blockbuster. And now he’s made a flying car! The stuff we wrote about in childhood essays has come true!!! So cool. You really have to hand it to this man #特斯拉发布Roadster

Lao Gan Ma was recently trending in the news after reports claimed the company made nearly $800 million in a year using AI.

What’s the story? As it turns out, last year Lao Gan Ma introduced an AI-powered visual inspection system that reduced the defect rate in key production processes to 0.02%. In the factory, cameras scan the conveyor belt every 0.3 seconds, and any substandard peppers are blown into a waste bin. Put simply, the profits don’t really have much to do with AI—it’s just a case of giving AI credit where it’s not due 😂😂

But before the AI system was introduced, there were over 600 workers sorting peppers along the production line. Now there are fewer than 50. Am I the only one feeling sorry for the workers who’ve been replaced??

#Muse超越ChatGPT成iOS免费榜首 Why hasn’t China come up with its own Muse yet? Doubao Phone: I want to, but they won’t let me 😕😕

The Doubao Phone Assistant has long wanted to create a full suite of AI agents that can help users automatically place orders on Taobao and order food delivery on Meituan. To get permission, Doubao introduced a policy last month and made it public for 30 days, allowing app companies to decide whether to let Doubao AI automatically perform actions on users’ behalf. When the consultation period ended, several of China’s major companies—including WeChat, Alipay, Taobao, Meituan, Pinduoduo, and Xiaohongshu—had all refused.

The logic behind the big tech companies’ decision is actually easy to understand: if you let AI act on users’ behalf, how am I supposed to sell merchants’ recommendations and splash-screen ads? There’s no upside for them in this at all. There really is no solution in the short term.

Another male celebrity came out and revealed that he lost even more trading NFTs than he did trading stocks 😂😂 From what I remember, other celebrities who’ve traded NFTs include Stephen Chow, Jay Chou, JJ Lin, and Edison Chen, right? But most of them still managed to make a quick buck off retail investors. #方力申自爆买NFT亏惨

I can hardly believe it! One person created this incredibly polished 3D game with AI in just half a month!! I tried it out—the art style and soundtrack are both top-notch. It got over 1.6 million views overnight after being posted!! And the numbers are still climbing rapidly.

That’s incredible. Having great taste, knowing how to use AI, being highly driven, and being willing to share and express yourself—that’s the winning formula for this era!!!

This world has really gone crazy... AI are starting to have babies and even taking maternity leave 😓😓

A few days ago, the U.S. District Court for the Southern District of New York sentenced 54-year-old Michael Smith to 18 months in prison for fraud involving AI-generated music and artificially inflated streaming numbers 😳😳 This is also the first criminal case of its kind in the United States.

So how exactly did he do it? First, he used AI tools to generate hundreds of thousands of songs in bulk, then uploaded them to major platforms like Spotify and Apple Music to collect royalties. He then used bots to rack up streams. Over seven years, this scheme earned him $8.09 million...

And this guy was arrested back in 2024. If he’d used today’s AI, he’d only have made even more #神操作

I can’t believe I’m only finding out about this blogger now!! Martin Luk, a university student from Hong Kong, won the stock division of the U.S. Investing Championship last year with an annual return of 969.8% 🏆🐮

Apparently, his most-used and best-known strategy is called buying the pullback. It’s especially suitable for investors with a small amount of capital, and the cost of trial and error is low. I also noticed that he has over 8,000 YouTube subscribers and often livestreams his stock trades at night.

#Ledger暂停CryptoBilis销售 After the Ledger theft, someone dug up the compensation terms for another hardware wallet, OneKey, which state that the maximum payout is just $100. This is a tough one to judge, and there don’t seem to be any comparable cases in Web2. Have you ever heard of someone buying a safe, having their assets stolen, and then demanding compensation from the safe manufacturer? But if a wallet’s own security flaws lead to a huge amount of assets stored in it being stolen, who could accept the wallet company saying it can pay out no more than $100? 🤡🤡

#xrp账本修复可增发xrp的漏洞 If I remember correctly, something similar happened with ZEC a few months ago, and it plunged by 50%+ that same day, right? Why isn't the price of XRP reacting much??

Do you have to use your hands? Can't you use your feet?

Siba sis is so good at coming up with antics hahaha

#Manus完成超5亿美元新一轮融资 Manus has actually made a comeback?? And raised $500 million?

After a dramatic series of events—being acquired by Meta, the deal being abruptly halted, and then called off—Manus didn’t go under. Perhaps years from now, looking back, it’ll seem that not being acquired by Meta was the right call.

I went back to my hometown for a visit during the National Day holiday. In the county town, nobody talked about AI, large language models, U.S. stocks, chips, or embodied intelligence. The timeless topics were still the everyday affairs of family life.

The world seems just as it always was 🤫🤫