小猪天上飞

🎁🎁🎁

Ppoly’s price wicks are so predictable that you keep saying there’s no airdrop. For the past 10-plus days, I’ve set an alarm for 7 a.m. every morning to buy 10,000 Ppoly, then another for 9 a.m. to sell. A little airdrop every day—better to go after it yourself than just wait.

That look 🥶—how skilled is Justin Sun’s bodyguard? How much does he make a month?

Time is a cruel butcher’s knife.

Late at night, I often think how much better things would’ve been if you hadn’t sold vermicelli back then!

Binance has launched a prediction event.
Join directly without a VPN.
Search for “Diviner” on the homepage, then open it from the Features section.

How much did this cost? What vision! Could this be the legendary idea of “the first to get rich helping others get rich later”?

Ah, could this be a genius?

The ultimate test of the Agent economy is not capability, but whether contributions can be recognized
There is a clear problem in today’s AI ecosystem
Everyone is discussing whose model is stronger, but few are discussing how revenue should be divided after a task is completed
Suppose an Agent completes a complex research task
It calls on a data service
Uses an external model
Consumes computing power
And relies on another Agent to carry out the final execution
Who should receive the revenue generated?
Without clear records and attribution, there are usually only two outcomes
Either the platform takes most of the value
Or the people who actually provide the data, models, and infrastructure cannot earn a fair return
This may be what makes the Agent economy harder than ordinary AI applications
Because future production processes won’t be completed by just one model
They’ll look more like dynamically assembled collaboration chains
Different Agents will join at different times
Complete different tasks
Bear different costs
And create different value
If contributions can’t be identified, economic incentives can’t work
Kite’s Proof of Attributed Intelligence strikes me as a very worthwhile topic for discussion
The point isn’t just to prove that a task was completed
It’s to try to trace which participants jointly produced the intelligent result
Who provided critical data
Who performed the model inference
Who bore the infrastructure costs
Who actually delivered the service
If these contributions can be recorded, verified, and used to automatically split revenue, then the Agent economy may have a chance to form a fairer cycle of value
This also explains why Kite isn’t focused solely on payments
Payments address how money moves
Identity addresses who is acting
Contribution attribution addresses why money should be divided this way
Without any one of the three, it’s difficult to build a true machine economy
Of course, attributing contributions is not as simple as keeping a ledger of every operation
An Agent calling ten services doesn’t mean it made the greatest contribution
A model generating a long response doesn’t mean it created the most value
The real challenge is linking task outcomes to actual contributions
@KITE AI has to confront this problem, which is more complex than the narrative suggests
If it can’t, the ecosystem may remain stuck at the level of Agent calls and payments
If it can, it may have a chance to organize data, models, computing power, and service nodes into a new value network
#KiteBBW $KITE

#nil $NIL Why could @Nillion potentially redefine the rules of on-chain trading?
If you take a close look at today’s on-chain markets,
you’ll notice a rather paradoxical phenomenon.
Blockchain has indeed made trading open and transparent,
but transparency doesn’t necessarily mean fairness.
Because everyone can see on-chain data,
those with a real technological and financial advantage
often understand that data sooner than ordinary traders.
They can see your orders,
see a protocol’s rebalancing plans,
see when an address is accumulating a position,
and even predict in advance when a strategy is about to launch.
As a result, on-chain markets are increasingly becoming a public game of psychological warfare.
Before you’ve even made a move,
the market may already be preparing to respond to it.
That’s the problem Nillion’s Covenants aims to solve.
Its design isn’t about turning the entire chain into a complete black box.
Instead, it hides only the most critical parts:
your execution logic and trading conditions.
You can seal an order on-chain
and bind it to a price, data, time, or other verifiable conditions.
Until those conditions are met, no one can know what’s inside.
Once they are met,
the node network works together using cryptography to unlock it.
This way,
trading retains the verifiability of on-chain settlement,
while reducing the losses caused by strategies being exposed too early.
That’s what makes Covenants interesting.
It’s not simply about private transfers;
it brings privacy to the execution and strategy layers of trading.
Dusk is the first phase,
starting with deploying this mechanism to the Ethereum mainnet.
The roadmap also includes multichain expansion,
cross-chain settlement,
more complex custom conditions,
a dedicated language and virtual machine for developers,
and even post-quantum security and lower-cost, large-scale operation.
If these phases are gradually realized,
a range of products that were previously difficult to build could emerge on-chain:
private order books,
prediction markets with hidden intent,
automatically triggered private payments,
AI trading agents that don’t reveal their strategies,
and privacy-preserving clearing systems for institutions.
If these applications take off,
Nillion’s value will be more than just the label of a privacy project;
it could become a foundational layer of on-chain finance.
Of course, this won’t be an easy path.
Whether developers will actually use the product,
whether the node network can operate reliably,
and whether demand can be tied to real-world business needs
will all take time to prove.

There are some seriously bold big shots in Alpha. They trust the quality of Binance listings and rush in as soon as a new coin starts trading. I’d call them the Alpha suicide squad. This DNA move has left me speechless.

Sun Studies 2.0

“Privacy is no longer an option” “Let alone you, dusk”
Hahahahahaha

BNB’s quarterly burn is complete: Can it stay strong after its supply has fallen by 20.2%?
BNB’s price fell back to around $720 today, down nearly 3% over the past 24 hours.
At first glance, BNB is facing a market pullback just like most major assets.
But the market’s focus today isn’t just on price—it’s also on BNB’s long-term supply changes.
So far, a total of 67.81 million BNB has been burned, reducing the circulating supply by 20.2% compared with earlier levels.
This means BNB’s fundamentals are different from those of ordinary hype-driven tokens.
Many tokens rise on narratives and sentiment. In addition to market sentiment, BNB has expectations of supply contraction driven by ongoing burns.
A shrinking supply doesn’t guarantee a price increase, but it does change how the market views BNB’s long-term valuation.
When the market rises, a contracting supply can amplify investors’ perception of scarcity.
When the market falls, BNB is still affected by overall liquidity and risk appetite.
So BNB’s pullback today doesn’t mean the burn thesis has failed.
What’s more worth watching is whether the price can hold near $720.
If BNB gradually stabilizes on declining volume while the broader market falls, that would suggest holders aren’t selling in significant numbers.
If the price climbs back above $740 with rising trading volume, the market may start pricing in expectations for the next burn ahead of time.
But if BNB falls below $720 and the broader market continues to weaken, it could enter a longer period of consolidation.
For now, BNB is better assessed from a medium-term perspective.
It’s not the kind of asset that can double repeatedly on the back of a single day’s news. But with its supply continuing to shrink and its ecosystem use cases expanding, long-term investors are often more inclined to treat it as a core holding.
In the short term, watch the $720 support level.
A move back above $740 would signal that sentiment is truly starting to recover.

What is this for? I've got my passport ready.

I'll hop in first and see how it goes.

Designer: Finally, someone understands me.

You don’t know these 9 big theories? That’s some serious student logic 😂
The internet has evolved to the point where even drinking water, sleeping, and doing Kegels need their own theories 🤣
💧 Big Water Theory: Bubble tea, begone! Plain water is the way to go
💪 Lean Muscle Theory: No need to get huge—keep it lean and fresh
😴 Big Sleep Theory: Whatever’s going on, deal with it after you wake up
🍑 Kegel Theory: Calm on the outside, secretly putting in the work
🍚 Just-Getting-By Theory: Forget big dreams—what’s for dinner?
💰 Sunology: Study how people think, with efficiency above all
📱 Apple–Android Relativity: Even buying a phone can turn into philosophy
😎 Blondie Theory: Less overthinking, more having a mind of your own
🧠 Freud Peak Theory: You can find a bit of repression in absolutely anything
They may get more and more abstract, but look on the bright side—they’re basically saying:
Eat well, sleep well, make good money, overthink less, and live a little more freely. 😂

I’ll keep the meal simple, and put the money I save toward adding to my ETH position.

What should I do right now?

That works too?? Hahahahaha