Just as the market thought the bill might be deadlocked, the White House made major concessions at the last moment.
In the latest compromise proposal, Trump accepted about 80% of the Tillis–Gallego ethical framework.
The most sensitive point is this:
If the president and other senior officials hold “material” crypto interests,
they must either divest or place them into a Blind Trust.
The White House had previously opposed giving state attorneys general enforcement authority, but that has now been accepted as well.
Issues that Democrats had long been stuck on—such as stablecoin rewards, developer protections, and conflict-of-interest concerns—have also seen adjustments.
The Republicans even directly branded this version as:
“Last, best and final offer.”
The last, best, and final offer.
The market has started to re-price the odds.
On Polymarket, the chance that the CLARITY Act becomes law within 2026 has rapidly rebounded from recent lows of about 13%–15% to around 30%.
Nearly doubled.
But interestingly, 30% is still not a high-probability win.
This suggests the market acknowledges that the situation has truly changed,
but it still hasn’t fully believed the bill is safely past.
Now the real question comes down to only this:
How far Trump is willing to go—can he win the crucial 60 votes in exchange?
The answer will be known soon.
September 15 at 14:15 ET Taiwan time September 16 at 02:15
The Senate will hold a key procedural vote.
This is not the final passage.
But if it clears the hurdle of 60 votes,
America’s crypto regulatory framework may genuinely be able to take a major step forward.
After there are more and more future AI agents, a strange problem may emerge:
How can AI prove “I am me”?
A Dutch chip company, Fortaegis, has come up with an approach:
Directly give every chip its own “physical fingerprint.”
During the manufacturing process, chips already naturally produce extremely tiny physical differences that cannot be perfectly replicated.
Fortaegis uses these differences to build device identities and security mechanisms, so that not all trust is placed solely on stored cryptographic keys.
And this is now starting to involve AI.
Because in the future, if there are billions of AI agents, robots, and drones that communicate with each other autonomously:
How does Agent A know that Agent B hasn’t been impersonated?
ASML and Eindhoven University are already working with Fortaegis on this.
In the past, when it came to AI safety, everyone was thinking about:
“How do we stop AI from doing bad things?”
In the future, we may need to ask one more question:
“How do you know that this AI in front of you is truly that AI?”
In the end, an AI’s identity card may not be an account.
① Revolut faces fake government request to attack; Bitcoin activity and passport data leaked ② Quantum attack on BTC/ETH is estimated to shorten the timeline—faster than Google predicts ③ OpenAI’s agent is accused of attacking RubyGems, uploading 2,000 malicious packages
In the past few days, Brent crude oil has regained the $100 level, and the latest is already approaching $109.
The yield on U.S. 10-year Treasury notes is also nearing 5%.
Market expectations for a Fed rate hike next week have even risen to around 70%. And today, the U.S. CPI is also set to be released. According to textbooks:
Risk assets should all get hit together. $BTC has indeed pulled back from above $80K and is currently trading in a range around $76K. But what really interests me isn’t how much it has fallen. It’s this:
In such a bad macro environment, why hasn’t Bitcoin been knocked back?
If CPI comes in hotter than expected again, and the Fed remains hawkish for real, with U.S. bond yields continuing to move closer to 5%...
Can $BTC still hold up?
That’s the real test of this round.
A bull market isn’t called a bull market just because there are no bad news. It’s called a bull market because, even when bad news arrives, the market is still unwilling to sell.
Oracle FY2027 Q1 Financial Results: AI Infrastructure Demand Still Accelerating. Oracle’s latest quarterly revenue reached $19.3 billion, up 30% year over year, but what’s truly worth noting is the cloud business. Cloud revenue was $11.6 billion, up 62% year over year. Of that, OCI cloud infrastructure revenue reached $7.4 billion, up 121%. Even more noteworthy is Oracle’s RPO, which has reached $664 billion. The company said it added more than $30 billion in AI Cloud contracts this quarter, and demand for AI training and inference services is still outpacing supply. This also highlights one more point: The main storyline of AI investment is gradually shifting from “who has the strongest models and GPUs” to the entire infrastructure. GPU → Cloud → Data center → Power → Network The bigger the AI, the bigger the infrastructure behind it. $ORCL $NVDA #Aİ #CloudComputing
Meta has just launched its personal AI agent, “Muse,” and it is currently being rolled out in the United States.
What makes it different from traditional chat-based AI is that it doesn’t just answer questions—it can help users carry out real tasks across different apps, such as sending emails, shopping, booking travel, and even handling payments.
Meta’s stock price rose by more than 6% on Wednesday.
I think this market response is worth paying attention to.
Meta is expected to invest more than $130 billion this year in AI infrastructure. One of the biggest doubts the market has had in the past has been:
With so much CapEx, how will it be recouped?
Muse is at least beginning to shift answers from “might be useful someday” to actual consumer products and subscription revenue.
So the next phase of AI may not be just about beating model benchmarks.
Sun Xue: What Sun Yuchen truly understands—it's not just Crypto
Recently, “Sun Xue” suddenly became popular. I originally thought that what everyone talks about when it comes to “Sun Xue” is: Shameless, trying to get attention, all in, you must win. But recently I went back and listened to what Sun Yuchen said on Himalaya in 2016 (the “Path to a Wealth-Freedom Revolution”), then looked at what he did over the following decade, and finally compared that with his own recent explanation of “Sun Xue.” I found that: The truly interesting part of “Sun Xue” isn’t teaching you how to make money. It’s more like a very extreme “life resource allocation method.” The core problems always come down to a few things: Which version is it now?
ChatGPT Images 2.5 has been updated, but after testing it myself, what I feel most isn’t the speed—it’s “image consistency.” This time, OpenAI made several important upgrades to ChatGPT Images: • Officially, image generation speed is up to 50% faster • Improved consistency of people, characters, and objects • More precise local edits • During multi-turn edits, it can better maintain the original composition and visual elements • Added Sketch, allowing you to generate a complete image directly from a rough sketch • Added Templates and a function to edit annotations within images In actual use, I don’t feel that the generation speed has improved noticeably right now, but “consistency” really has. Before, a common problem with AI image generation was: The first image looks great—but once you ask it to modify just a small detail, the person, composition, text, and even other things you didn’t intend to change could also get altered. Images 2.5 clearly improves this. This might be even more important than simply being “50% faster.” Because AI image generation already has the ability to produce a beautiful image; what truly affects workflow efficiency is whether you can continuously refine the same image while maintaining consistency in the person, composition, and brand elements. The next stage of competition for AI image models may not be just about who can draw more beautifully, but about who can genuinely fit into the design workflow. #AI #ChatGPT #OpenAI #AIGC
① Liquid attackers returned 3,400 BTC, retaining about 600 BTC for further patching and later return ② Cronos rolled back and recovered $110 million; $9.19 million still remains unrecovered ③ Visa launches on-chain lending, with transaction volume increasing by 200%
Apple’s 2026 autumn event is coming soon, and this year, market attention may not be limited to the usual iPhone upgrade.
Current areas of focus include long-rumored first foldable iPhone, iPhone 18 Pro, as well as new products like the Apple Watch and AirPods.
But for investors, what truly matters isn’t just the new products themselves:
📱 Will the new iPhone trigger a new upgrade cycle? 🤖 Will Apple make bigger moves in the AI space? 💰 New product pricing and strategy for high-end models 📈 Can the new lineup reignite Apple’s growth? 🏭 How might Apple’s supply chain—including TSMC—be affected?
If Apple really launches its first foldable iPhone, would you buy it?
A. Yes—I’ve been waiting for Apple for a long time B. I’ll decide after seeing the price C. I’m not interested in foldable phones
⏰ Event time: 1:00 AM on September 10 (Taiwan time)
Block 101 will also continue to sort through the latest products and their impact on the market.
What does it feel like to ride in the #Cybercab—without a steering wheel and without a brake pedal?
After reading reviews from passengers who boarded the first batch tested in Austin, there’s one line that sums it up: “Maximum tech vibe, but your palms are all sweat.” Online sharp takes have already blown up:
“Before you even get in, you sign a disclaimer longer than a will. In essence: live and die as you will—if you’re unhappy, take it up with the AI.”
“Two people in a butterfly-door sports car staring at an enormous screen—the visuals feel like first class, but the heartbeat is like being on a roller coaster with no safety bar.”
“Your feet feel empty, the front seat is completely flat. When the car suddenly accelerates, your survival instincts go into overdrive, desperately looking for a pedal to press.”
“Extremely smooth—so smooth it’s even steadier than a human driver. But the moment you hit road work, your brain starts auto-playing your life like a bio-story.”
Doesn’t this scene feel awfully familiar to crypto people?
Handing your life to a “pure vision neural network (AI)” is like authorizing your entire net worth to an unaudited smart contract.
No steering wheel means your holdings have “no manual stop-loss button.” Code is law, and whether you crash depends entirely on the algorithm.
What Musk is selling isn’t just a taxi—it’s an “ultimate automated closed loop.” In the future, AI drives on the road, order matching is settled on-chain, and fares can be deducted anytime using Dogecoin or micro-payments.
Before, you mocked others for opening contracts like gambling. Now, once you sit in a Cybercab—even to go out and hail a ride—you’re using your own flesh and body to personally operate a hundred-times leveraged bet.
Would you dare get into an AI sports car that doesn’t even give you an emergency steering wheel?👇
I helped a friend with something half a month ago: taking his child to Chiang Mai for a summer camp that he'd already registered for.
He couldn’t go, because his mother suddenly passed away, and he had to stay home to keep vigil and attend the funeral.
On a bench during a layover in Bangkok, the child was so tired that he fell asleep with his head resting on my leg. I took out my phone and checked my holdings. That stretch of the market was doing well—the account was in the green by even more, and there was even an early project that had sent out an airdrop.
Normally, I would’ve immediately taken a screenshot to post online or chat with my friend. But looking at the child sleeping soundly beside me, I only felt coldness and emptiness.
I’ve known this friend for ten years. In the past few years, in order to find opportunities in the circle and get back what he lost, he’d been glued to the charts day and night—going to meetups, pulling late nights, and even on holidays staring at his phone. He always said, “Once I make enough on this run, I’ll take the whole family out to vacation properly.”
In the end, the market turned, the opportunity arrived—but he didn’t get to wait for it.
I used to think financial freedom was the destination. Now I understand more and more: if the speed at which you make money can’t keep up with how fast your loved ones grow old, then what is the meaning of that string of numbers in your account?
After I got off the plane and handed the child over to the camp teacher, I called home.
Don’t wait until you’ve achieved financial freedom before you go live your life. Call your family a little more often. That window of time may close even faster than a bear market ends.
🚨 Breaking News|Goldman Sachs upgrades the market size for optical module market; rapid growth in demand for AI server optical modules. Goldman Sachs forecasts that 16T optical module demand will grow to 61%, reflecting that the expansion of AI servers is driving growth in optical communication hardware.
The CLARITY Act, simply put, is the U.S. getting ready to turn crypto’s "gray area" into black-and-white rules.
Who is a security, who is a commodity, what the SEC regulates, what the CFTC regulates, all of it is supposed to get an answer. A lot of people only see it as a "regulatory tailwind." I think the real thing to watch is not whether it will make BTC go up, but whether it will finally make Wall Street feel safe enough to move money in.
Because crypto has never lacked money.
What it lacks is the rules of the game that make big money willing to enter.
🚨 Breaking News | Jensen Huang announces GPT-6 Astra deployment with over 100,000 Blackwell GPUs, AGI has arrived OpenAI's latest GPT-6 Astra uses more than 100,000 Blackwell GPUs, with another 400,000 ready to go online. Why it matters: AI computing resources have increased significantly, driving the rapid development of artificial general intelligence technology.
Stop calculating house prices in fiat—it only makes you more anxious.
Switch to Bitcoin units, and the world suddenly looks alarmingly "cheap."
Today I dug into global housing prices for you all. If you’re holding BTC, how many coins would it take to buy a 200-square-meter (about 2,150 sq ft) luxury apartment in prime central locations around the world?
(Estimated at $BTC ≈ $80,000, based on top-tier luxury properties in core districts only)
Monaco: ~138 BTC (the global tax haven for the ultra-rich—truly prestigious)
Hong Kong (Central/Mid-Levels): ~70 BTC (once the ceiling; now just a few dozen coins)
New York (Manhattan): ~63 BTC (next door to Wall Street elites)
London (Mayfair): ~55 BTC (the entry ticket to an old-money empire)
Singapore: ~50 BTC (the first choice for Web3 founders holding meetings)
Paris: ~48 BTC (the price of a view of the Eiffel Tower)
Shanghai (Lujiazui/Bund): ~45 BTC (same view as Tomson Riviera)
Taipei (Xinyi/Daan): ~38 BTC (a front-row spot for Taipei 101 fireworks)
Tokyo (Minato): ~36 BTC (after the yen’s depreciation, Tokyo is extremely good value)
Dubai: ~23 BTC (a tax-free paradise packed with Web3 acquaintances)
Bangkok: ~13 BTC (living like a boss in a top-tier affluent district)
After looking at these numbers, I came to only two conclusions:
Fiat is inflating, but the world is massively discounting itself in BTC. Ten years ago, buying a house in Bangkok cost over 1,000 BTC; now it’s only a dozen or so. Do you think homes got more expensive? No—the fiat currency is shrinking, and hard money is taking everything.
Concrete vs seed phrase: 200 square meters of concrete can’t be moved, and it still comes with annual property taxes and management fees; dozens of BTC can sit in a cold wallet, and you can take them across borders without even setting off a metal detector.
If we really reach the peak of a bull market and BTC surges to $200,000 or $500,000... maybe just 10 BTC could sweep Manhattan and London.
Which city could your BTC stack fully pay for a home in right now?