#dusk $DUSK @Dusk I spent part of the afternoon looking at the actual curve Dusk uses inside its private transaction proofs, and the choice turned out to matter more than I first thought.
A private transfer still has to prove it is valid without showing the amounts or who is involved. That proof is built with PLONK, so every signature, key step and encryption that happens on the private path has to fit cleanly into arithmetic constraints the circuit can check without blowing up. Most ordinary curves get expensive or messy when you force them into that setting.
JubJub is the embedded one they picked. It is a twisted Edwards curve whose base field lines up exactly with the scalar field of BLS12-381. That means the same field arithmetic already being used for the outer curve can also handle the inner elliptic-curve work.
When I checked the repositories the practical results were clear. Schnorr signatures with Poseidon run directly on JubJub. ElGamal encryption sits on the same curve so the ciphertexts can be handled inside the circuit. The curve itself is treated as a proper library, not something bolted on later.
The private path does not need a second cryptographic layer sitting beside the proof system. The same objects do both jobs. If that layer breaks, the confidentiality claims break with it.
Whether people actually use the private path is a different question. The curve is just the piece that has to be solid for any of those claims to mean anything.
Solana’s latest governance push is more aggressive than it first looks.
I dug into the proposal and the key change is simple: double the annual disinflation rate from 15% to 30%.
That could push SOL toward its 1.5% terminal inflation rate in roughly 2.8 years instead of 5.7, while cutting an estimated 18.9M SOL from future emissions.
But here’s the catch: lower emissions also mean lower nominal staking yields.
So this isn’t just a bullish supply story.
It’s a trade-off between scarcity, validator economics, and long-term network sustainability.
Solana is no longer just debating growth. It’s debating how scarce SOL should become.
#AlibabaRaises$10.2BInHKShareSale $10.2B AI BET: Alibaba Just Raised the Stakes
Alibaba just pulled the trigger on an HK$80B ($10.2B) share sale, with every dollar aimed at expanding its AI infrastructure.
But here’s where it gets interesting.
The company issued 710M new shares at HK$112.70, an 8.4% discount to Friday’s Hong Kong close. The market response? Alibaba shares dropped as much as 10% today.
And this comes after quarterly profit already plunged 75%, while capex jumped 75% to roughly $10B.
My take: Alibaba isn't playing defense anymore.
**It’s spending aggressively to win the AI infrastructure race, and shareholders are being asked to pay for the bet.**
#dusk $DUSK @Dusk I went back to Dusk’s January 17, 2026 incident notice, and this time it was the detection piece that stuck, not the fallout. Monitoring systems flagged the wallet activity as inconsistent with normal bridge behavior, before a single core state transition was affected. Not after damage showed up in balances, not after users complained, the alerting caught it at the relay level, outside consensus itself. Hmm. That's actually the part worth sitting with. A lot of "automated monitoring" marketing is vague, some black box dashboard nobody's ever seen catch anything real. Here you've got a documented timeline: anomaly flagged, addresses disabled and recycled, bridge paused, before it could compound into an actual loss. hold up, that's not nothing. Telemetry that fires early enough to pause a bridge before transactions clear is doing real work, not decoration on a security page. Still, detection at the relay level only tells you the alarm worked. It doesn't tell you why a team-managed wallet had that much reach, or how long the anomaly window was before the alert fired. Not dunking on it, catching it early beats catching it late. Just noticing "we detected it fast" and "it shouldn't have been possible" are two different conversations, and only one got answered. Makes me wonder how much telemetry like this gets stress tested versus just sitting there until the one day it has to work.
The U.S. has now imposed 50% tariffs on about $20 billion of Canadian goods after last-minute trade talks collapsed. Canada has answered with dollar-for-dollar retaliation, turning a negotiation into another trade-war front.
I’m watching this less as a political story and more as an inflation story. Higher import costs eventually hit businesses, supply chains, and consumers.
The bigger risk is retaliation spreading beyond this first batch of goods.
Trade wars rarely stop at the tariff headline. They move through prices, profits, currencies, and eventually markets.
This isn't just Washington vs Ottawa anymore.
It's another inflation risk traders now have to price in. 🔥
#TRUMPBreaksAbove$3.4HighestSinceMarch21 🚨 $TRUMP IS BACK ABOVE $3.40. BUT THIS RALLY NEEDS TO PROVE ITSELF.
I’m not impressed by one green candle. I’m watching whether TRUMP can actually hold above $3.40, a level that has repeatedly acted as a battleground. The token remains wildly below its $74+ peak, so this is still a recovery attempt, not a confirmed trend reversal.
What makes this move interesting is the broader crypto surge, with Bitcoin posting its strongest weekly performance in years.
If buyers defend $3.40, momentum traders could push this much harder. If it loses the level, the breakout becomes another trap.
The headline says breakout. I want to see buyers defend it first. 🔥
🚨 WALL STREET JUST LOST ITS MOMENTUM. DON’T CONFUSE FRIDAY’S BOUNCE WITH STRENGTH.
All three major U.S. indexes finished the week lower: S&P 500 -1.4%, Nasdaq -2.1%, Dow -0.8%. Friday’s rebound looked strong, but it couldn't erase the damage. Rising Treasury yields, pressure on chip stocks, and oil climbing again are creating a nasty mix for risk assets.
What worries me is the Nasdaq.
When AI and semiconductor leaders start losing momentum while yields rise, the market's most crowded trade becomes vulnerable.
A green Friday doesn't change a red week.
Next week, I’m watching yields, oil, and Nvidia more closely than the index headlines.
The U.S. dollar has slipped to a three-month low, with DXY around 98.8, while the euro pushed above $1.17. The interesting part is that U.S. Treasury yields are still elevated, with the 30-year yield hitting its highest level since 2007.
That tells me this isn't a simple rate-cut story.
Investors are increasingly questioning whether Treasury buybacks can actually fix deeper fiscal concerns. Meanwhile, gold and Bitcoin have been catching strong bids as the dollar weakens.
When yields rise but the currency still falls, something bigger is being repriced.
I'm watching this closely.
The dollar weakness could become the next major macro trade. 🔥
I’m watching the U.S. refining market closely because the real squeeze may not be crude prices alone. Saudi crude shipments to the U.S. fell to zero in July, while global disruptions are forcing refiners to compete harder for available barrels. At the same time, U.S. refiners are exporting diesel at record levels, pushing domestic inventories toward a 30-year seasonal low.
That combination is dangerous.
Less crude, tighter fuel inventories, stronger export demand.
If supply stays constrained, refining margins can remain elevated and fuel prices could face another shock.
The market is watching oil.
I’m watching the barrels disappearing behind the oil price. 🛢️🔥
Gold has exploded higher, gaining more than 5% this week and pushing above $4,600/oz, while the dollar weakens and concerns around U.S. debt keep growing.
I’m not looking at this as just another gold rally. When investors start paying up for an asset that produces nothing, they’re usually paying for protection.
The real danger is what happens if this momentum continues. A move toward $4,700 could force momentum traders back in and make the rally even faster.
Gold isn't screaming “buy me.” It's screaming that something underneath the market is changing.
#dusk $DUSK @Dusk I spent part of the afternoon actually tracing how Dusk turns stake into committee voting power, and I ended up finding a bigger difference than I expected. At first I was looking at it the simple way: more DUSK stake should just mean more voting power. When I followed the selection flow that wasn’t the full picture. Dusk uses deterministic sortition to pick provisioners for proposal, validation and ratification. A higher stake raises the chance of being selected, but once a provisioner enters a voting committee the important unit becomes Credits. That was the part I had to look at twice. A provisioner can receive multiple Credits. Those Credits set the voting weight. Three Credits means that vote carries three times the weight of a provisioner with one Credit. The committee itself is built around a fixed 64-Credit structure. While I was checking this I also pulled the live network numbers. More than 210 million DUSK is currently staked. At the same time the market was showing DUSK around $0.0757, a market cap near $38.1 million, daily volume of about $7.18 million, and circulating supply sitting roughly at 499 million. Putting those figures next to the mechanism changed the question for me. I was no longer only asking how Dusk weights votes. I was asking what actually happens to those fixed 64 Credits when more than 210 million DUSK is already sitting in the staking system. The path from stake to sortition to Credits to voting weight is clear in the docs. What is less obvious is the final distribution of influence once that much capital is active. That is the part I want to dig into next.
#termmax @TermMax I spent a couple of hours yesterday tracing how TermMax actually splits a debt position, and I had to stop halfway through because the design was cleaner than I expected. I went in assuming it would feel like another layered token system that mostly adds complexity. What made me pause was the simple relationship sitting at the centre: 1 FT + 1 XT makes up the full debt. FT carries the face-value claim that can be redeemed at maturity. XT is the complementary piece that fills out the rest of the position. Once that clicked, the flexibility became clearer. Different people can hold different sides. Someone who wants the fixed return can sit with the FT. Someone else can hold or use the XT. On the borrower side, that separation seems to open extra ways to move or recycle liquidity without having to unwind the entire loan. The useful part is that the debt is no longer a single rigid object. The innovative part is how cleanly the two components fit back together. The limitation I kept running into is practical. Most people still have to understand both tokens and how they interact before they feel comfortable using the system. That extra mental step could slow adoption even if the underlying idea is sound. I’m left wondering whether splitting debt into complementary pieces actually creates meaningful financial utility, or whether it mainly adds another layer that only experienced users will bother to navigate.
#dusk $DUSK @Dusk I thought Dusk’s token burn was mainly a supply story until I looked at where the missing rewards actually come from.
The interesting part is that Dusk does not simply hand the full block reward to the block generator.
Its current reward design gives the generator 70%, with up to another 10% available depending on the committee credits included in the certificate. The development fund gets 10%, while the validation and ratification committees receive 5% each. Any part of that extra 10% that is not distributed is burned.
That changes how I read the burn.
It isn't a separate buyback mechanism running in the background. It is tied directly to how much eligible consensus participation gets reflected in the block certificate.
And that makes the mechanism more interesting to me than a headline like “DUSK is deflationary.”
Dusk’s Succinct Attestation system uses randomly selected provisioners across proposal, validation and ratification stages, so the reward structure is connected to actual consensus participation rather than simply paying everyone a flat amount.
But there is a limit to the story.
A higher burn does not automatically mean the network is unhealthy, just as a lower burn does not prove perfect participation. It tells us that part of the available reward was not distributed under the protocol rules.
That makes me wonder:
Should protocol-level burns be viewed mainly as tokenomics, or can they also become useful signals for understanding how efficiently a consensus system is operating?
What do you think DUSK’s burn mechanism tells us most?👀
#termmax @TermMax I went into TermMax expecting the interesting part to be the fixed maturity. I ended up paying more attention to what happens to liquidity before a deal is actually taken.
TermMax V2 changes something that sounds small but has bigger consequences: the same pool can support positions across multiple markets through Atomic Orders.
That means a curator doesn't have to permanently split $1.1M across three markets just because all three are open. The protocol can show that liquidity across them, while the same capital can only be consumed once. If one market takes $500K, the available amount is reduced across the others at the same time.
That changed how I think about the design.
The problem isn't simply finding a good lending rate. It's making larger amounts of capital usable without leaving part of it stranded in the wrong market.
TermMax is also moving toward an aggregator that can combine different liquidity sources into one execution, instead of making users piece together orders themselves.
But there is a boundary.
Showing the same liquidity in several places doesn't create more money. It only makes existing capital more flexible, with the atomic rule keeping it from being spent twice.
Even with $牛来 and $BIO getting market attention, this infrastructure detail is what I find more interesting.
Does this kind of shared liquidity become more important than the rate itself when DeFi starts handling much larger credit positions?
As DeFi scales, what matters more for large credit markets?
#termmax @TermMax Spent the afternoon digging through a few open positions on TermMax and the locked numbers are what actually made me stop.
Once you open a trade the rate and the end date just sit there. You see the full amount you’ll have to pay back right from the start. The cost side stays still while the market keeps moving.
Alpha takes it a step further. You pay one clear chunk up front to go long or short. That chunk is the most you can lose. No margin calls, no forced sales if the price swings against you. Each position lives inside its own Gearing Token NFT so nothing from one trade can spill into another.
On the other side people lock in their return by buying Fixed-Rate Tokens at a discount and cashing them for full value at maturity. The yield is set the moment they enter.
Because both sides of the deal are written down before anything starts, you can size against a fixed number instead of watching a rate that keeps shifting every few blocks.
The protocol is already live across ten chains with over ninety million locked and more than a million and a half wallets. TMX lands on August 25.
Grabbed my water and sat with it a bit longer. The clarity is real. What still feels like friction is whether people actually size more carefully when the exact cost and the max loss are sitting right in front of them, or if most still open the same kind of trades they always did, just with cleaner numbers.
#dusk $DUSK @Dusk Spent the afternoon sitting with the Zedger and Hedger docs and the split between them is what actually stuck.
Dusk is built for regulated assets that need privacy and rules at the same time. It doesn’t try to hide everything from everyone. It just keeps things private where it matters and still lets the right people check when they have to.
Zedger lives on the native side. It uses a hybrid UTXO and account setup. That mix gives stronger anonymity because each piece of value doesn’t carry the same permanent identity a normal wallet address does. It’s the one built for the full life of a regulated asset — issuing it, limiting who can hold it, paying dividends, voting, recovering lost tokens — while keeping the people’s data private.
Hedger sits inside the EVM part. Account-based systems make full anonymity much harder, so it focuses on hiding the balances and the amounts instead. It uses homomorphic encryption and zero-knowledge proofs so everything stays encrypted end-to-end but can still be verified. The upside is obvious: normal tools like Foundry, Hardhat and regular wallets just work. The downside is you lose some of the deeper anonymity Zedger can still reach.
The docs are pretty honest about it. Two different ceilings, each matched to the environment it has to live in. One doesn’t replace the other.
What kept nagging after I closed the tabs is how often both get flattened into one vague “privacy on Dusk” line. The difference is real. Still wondering how many people actually choose the lane that fits what they’re building, instead of treating privacy like it’s the same feature everywhere.