Nvidia invests $1.5 billion to take a stake in SB Energy, targeting 8GW of AI computing capacity; OpenAI will be the sole tenant
On August 17, Nvidia announced a strategic partnership with SB Energy to provide credit guarantees for the PORTS-Pike Technology Park in Ohio, helping build it into a massive data center dedicated to Nvidia’s AI computing infrastructure, with OpenAI as the sole tenant. At the same time, Nvidia invested $1.5 billion in SB Energy. With this move, Nvidia directly entered the underlying infrastructure segment of land, power, and facilities (LPS). Its significance goes far beyond a typical data center investment. The key change is that Nvidia is using its own creditworthiness to “underwrite” financing for AI infrastructure, in return for long-term and exclusive allocation of computing capacity. This marks the chip giant expanding from being merely a supplier of AI hardware into a core participant and organizer in building and operating “AI factory” infrastructure.
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Global attention! The Fed meeting minutes hit at 2:00 a.m. tonight—can they curb the “U.S. bond storm”?
① At 2:00 a.m. Beijing time on Thursday, the Fed will release the minutes of its July monetary policy meeting; ② With Fed Chair Walsh reducing communications with the outside world and the U.S. Treasury selloff wave escalating, the significance of these minutes has become increasingly evident. At 2:00 a.m. Beijing time on Thursday, the Federal Reserve will release the minutes of its July monetary policy meeting. This will be the second set of minutes released since Fed Chair Kevin Walsh took office. Against the backdrop of the Fed cutting back on external communication, the importance of these minutes has become even more pronounced. Investors who are urgently seeking incremental information are hoping to glean more clues about the Federal Reserve’s rate path from this document.
AI wealth-making boom: 45 newly rich people in their 20s and 30s start moving into Silicon Valley’s old-money neighborhoods
A $70 million Hillsborough mansion shows the most concrete picture of the AI wealth-making wave.
On August 6, in the northern part of the San Francisco Peninsula, a newly formed LLC bought a 12-acre estate. The main residence is 12,000 square feet, with an additional 4,600-square-foot guesthouse. There are also a tennis court, a nine-hole golf course, an 18-hole putting green, an outdoor theater, a koi pond, a 2,100-gallon aquarium, and a fountain in the style of the Bellagio—all set on a hillside surrounded by trees.
Mansion bought for $70 million by former xAI co-founder Wu Yuhui
The mansion was sold for $70 million, or about 500 million yuan. The buyer listed on the property ownership documents is Daikon no Hana Capital. But media followed the paper trail from the buyer’s broker to the estate-planning attorney and family trust, and it ultimately led to a 31-year-old Chinese man—former xAI co-founder Wu Yuhui.
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I've been watching Dusk for long enough that “slow” doesn't bother me the way it used to.
I've seen this market before. A project starts with a serious problem, the market gets bored, the narrative changes, and everyone moves on. Dusk has mostly done the opposite. Its story has stayed close to regulated assets, settlement, compliance, and privacy. 🔐
I'm not saying that makes it a winner. I don't fully trust the execution yet. The ecosystem still feels thin, the product layer is behind the ambition, and sometimes the communication gets a little too big for what is actually there.
Still, something about this feels different.
The more I watch real-world assets, the less I believe regulation and privacy are things you can just add later. Real assets come with rules, eligibility, reporting, disclosure, and settlement. Privacy isn't simply about hiding everything either. Sometimes it's about proving what needs to be proven without exposing everything else.
That's why I keep coming back to Dusk. Not because I think it has solved everything, but because it keeps working on the parts that aren't particularly exciting. 🛠️
My test is still pretty simple. I want to see real assets actually complete a full lifecycle. I want to see outside teams come in because they genuinely want to build there. And I want to see developers and nodes keep growing even when nobody is talking about Dusk.
If that doesn't happen over the next few cycles, I'll change my mind.
Until then, I'm willing to give a slow project something crypto rarely gives: time. @Dusk #dusk $DUSK
The first thing I went looking for with $DUSK was pretty simple:
Can you have privacy in finance without losing the ability to verify what’s happening?
Because I think that’s where the real problem starts.
On a public blockchain, everything being visible makes verification easy. But imagine being a bank or large financial institution. Do you really want everyone watching your positions, balances, transaction history, or exposure?
Probably not.
At the same time, regulators and auditors still need to see enough information to do their jobs.
That’s the interesting part of @Dusk for me.
It’s looking at confidential smart contracts, zero-knowledge proofs and selective disclosure as ways to balance these two sides.
And I think the distinction is important.
Privacy isn’t the same as confidentiality. Zero-knowledge proofs aren’t the same as access control. And selective disclosure isn’t simply “hiding transactions.”
The bigger question I have is: who gets to decide what is disclosed?
If compliance requires certain people to have special access, could that create new centralization or governance risks?
I don’t see Dusk as a finished answer.
I see it as an attempt to solve a problem that public blockchains haven’t really solved yet.
Maybe public blockchains were never too transparent in general. Maybe they were simply too transparent for certain kinds of capital.
August 16: The U.S. Treasury’s reliance on short-term debt is on the rise. Currently, U.S. Treasury bills account for 21% of the market for tradable Treasury securities—nearing the highest level since 2020, when borrowing surged during the pandemic. This figure is far above the 10–15% range observed between 2012 and 2019. By contrast, during the 2008 financial crisis, this proportion reached roughly 34%.
Meanwhile, the U.S. government is becoming increasingly dependent on short-term Treasuries to meet its growing borrowing needs rather than on long-term bonds. If the Treasury continues issuing long-term debt at its current pace before fiscal year 2027, Treasuries would make up 25% of total debt—the highest level since 2004. However, this approach increases the risk that the government will face volatility in short-term interest rates. If rates keep rising—or rise again—debt repayment costs would become harder to bear. The U.S. debt crisis is unfolding in full.