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#dusk $DUSK @Dusk To be honest, when I first looked at the DUSK token, my first reaction was to calculate the staking APR. I thought the whole thing’s demand was basically about lockups and voting. Later, I put myself in the shoes of an institution that wants to issue debt on-chain, and then I realized I was off target.

In the whitepaper, DUSK’s role isn’t just governance and staking—it’s the fee and settlement medium for all financial operations on the network. What does that mean? If a company tokenizes a bond on Dusk, then every step—coupon payments, redemption, transfers, compliance verification—consumes DUSK. It’s not a one-time buy-and-hold situation; it’s continuous, repeated, and the larger the amounts, the more frequent the operations. This kind of demand comes from real business, not from propping things up with lockups.

Even more importantly, Dusk’s finality in settlement gives institutions the confidence to use it. When they use it, real transaction volume grows. And once transaction volume rises, DUSK consumption becomes genuinely substantial. This is healthier than many chains’ tokens that rely on “staking to pump demand,” because someone is paying for settlement utility—not just gambling on price.

The Dusk ecosystem is still early, but I can see it moving toward securities tokenization and RWA. Clearly, it wants DUSK to become a necessity in financial settlement. I think that’s the logic that allows the token to stand the test of time—rather than the number game of staking yield.

Which real business do you think will bring DUSK sustained consumption first?

Today I was chatting with a friend about $niulai, and suddenly felt that the concept of “Shadow Coins” is actually quite imaginative.
In the past, movies were just movies, and Memes were just Memes.
Now some people are trying to put the two together, turning movie IP into a part of community discussion.
《Niu Lai》 is the entry point for this attempt.
Whether it can truly form a new track is hard to judge for now, but this kind of early exploration is still worth a look. #niulai #牛来

#dusk $DUSK @Dusk I also doubted at first. People have been shouting about zero-knowledge proofs (ZK) in the crypto world for so many years—how many of them have actually been used in financial scenarios? Most projects claim, “We have ZK,” but all they can do is anonymous transfers. What changed my mind from the Dusk whitepaper is this: it doesn’t treat ZK as a fig leaf. Instead, it treats it as a compliance tool.

How does it get implemented in practice? For example, when traditional financial institutions put things on-chain, they fear two things most: data leakage and the inability to account to regulators. Dusk’s technical approach is to use ZK to prove that “a transaction meets the rules, the assets are real, and there’s no wrongdoing,” without having to disclose all transaction details. It’s like showing regulators a stamped proof, rather than handing over the entire ledger. This isn’t “hiding”—it’s “verifiable privacy.”

I recently looked at the real data from their mainnet: proof generation isn’t as slow as people imagine, and the final transaction confirmation time is acceptable for financial settlement. That turns ZK from “cool in theory” into something usable. Remember, financial scenarios don’t fear technical complexity; they fear uncertainty and non-auditability. Dusk addresses both of these.

Whether ZK can succeed in financial privacy doesn’t hinge on whether the algorithm is newer or more advanced—it hinges on whether institutions are willing to put real business through it and try. At least, Dusk has paved the way to the point where people can actually walk it.

Which pain point do you think zero-knowledge proofs should tackle first in financial privacy?

#dusk $DUSK @Dusk It turns out I never really took Dusk seriously at first. I thought privacy public chains all follow the same playbook: hide transactions and then shout about decentralization. It wasn’t until I actually read its whitepaper that I realized from day one, Dusk never set out to be a “privacy payment” chain—it was aiming for financial infrastructure.

What really stood out to me in the whitepaper was the XSC Confidential Security Contract standard. It doesn’t simply encrypt smart contracts; instead, it ensures that issuers, regulators, and traders can each only see the parts they’re supposed to. In plain terms, it’s “selective disclosure,” not everything hidden and not everything exposed. Traditional financial institutions aren’t most afraid of on-chain performance—they’re afraid of getting hit from both sides: compliance and data leaks. Dusk’s design slots right into that gap.

It also insists on building an independent Layer-1, rather than patching on top of Ethereum. Financial use cases demand settlement certainty and programmable privacy—not a temporary L2 workaround. I looked at its recent real-world progress: the ecosystem isn’t exactly lively, but the direction hasn’t gone off course. It’s been steadily tackling the tough bones like RWA and tokenized securities.

So my current view is this: the gap between privacy chains isn’t about which ZK algorithm gets updated—it’s about “who you design for.” Dusk feels more like it’s building a privacy chain that institutions can pass audits with, rather than a mixer for retail users.

Which scenario do you think Dusk is most likely to break through first?

#baby $BABY I reread the Babylon whitepaper again, this time from a different angle. Instead of digging into technical details, I’ll treat it like a business plan and focus on one question: who ends up paying for this?

My first instinct is that it’s the PoS chains. The whitepaper lays it out pretty clearly: when a new chain is launched, what it lacks most is security. The token price is unstable, there are too few validators, and the chain could be attacked at any time. Buying Babylon’s service is like buying a “Bitcoin-level security insurance policy” for yourself, which you can explain to both users and investors. This set of customers has a real need and should be the first to foot the bill.

But the further I read, the more it seems to me that the real big spenders might not have entered the market at scale yet.

There’s a section in the whitepaper that mentions the need for cross-chain security within the Cosmos ecosystem, and that really clicked for me. Cosmos chains are already interconnected via IBC; when one chain has an issue, it can implicate a whole chain of others. Could it be that later, some cross-chain protocol or a DeFi platform itself pays for Babylon’s service—insuring every asset it bridges out—and then spreads that cost across the fees? At that point, it’s no longer the chain paying; it’s the application layer paying.

If you think further, institutional customers could even show up. For example, an exchange may want to support deposits and withdrawals for a particular PoS chain, but it worries that the chain’s finality isn’t stable enough and that transaction rollbacks could cause it to lose money. Rather than taking that risk itself, it would be better to buy Babylon’s finality guarantee service and push the risk elsewhere. This is similar to how credit default swaps work in traditional finance.

If this direction works out, what Babylon sells won’t just be “security,” but a form of credit derivative that can be priced and traded. The whitepaper doesn’t spell this out explicitly, but the data and logic already hint at it. Right now I think Babylon’s early customers are PoS chains, but its long-term customers could be any business entities that need a Bitcoin-level security endorsement.@BabylonLabs_io

One question: who do you think Babylon’s biggest customer base will ultimately be?

#baby $BABY Before talking about Babylon, I kept focusing on the technology, until I started calculating staking returns and realized the core issue: how is its security service actually priced?

After going through the whitepaper, the logic is very clear. The buyer is the PoS chain, and it pays for Bitcoin-level finality security using a hybrid model of transaction fees plus token inflation, periodically paying the protocol a “premium.” There are two types of recipients: finality providers (nodes) get the larger share, while BTC stakers get a smaller share. The principle is: those who do the work get more, and those who stake the coins get a basic return, avoiding unearned gains.

What interests me most is pricing power. The whitepaper explicitly leaves it to market supply and demand, rather than having the project team decide. The more PoS chains there are and the larger the transaction volume, the higher the demand for security, so total payments naturally rise. At the same time, competition among nodes means that nodes with better reputations—fewer penalties and higher uptime—can quote higher prices, and PoS chains are willing to pay more for peace of mind. This creates pricing based on “security reputation,” similar to a credit-rating market.

Of course, details still need refinement: cross-chain price comparisons, standardized service packages, mechanisms to prevent price wars, and so on. But the overall direction is right—the pricing power is not put in the hands of the project team or large holders, but given to the market and reputation.@BabylonLabs_io

Finally, one question: who will ultimately decide the pricing of Babylon’s security service?

My choice is A. What do you think?

#baby $BABY Babylon’s Finality Provider Must Maintain Two Sets of State—BTC and PoS—this Design’s Trade-Off

The first time I saw Babylon’s requirements for finality provider nodes, I thought: “This threshold is way too high.” You have to run both a full Bitcoin node and a PoS chain node—both ledgers must be kept in sync in real time. Doesn’t that just wear nodes out?

Later, I chatted with a friend who has run a validator node, and he一句话 hit me: “Hard work is exactly what it should be.”

What Babylon is trying to do is anchor the finality of PoS chain transactions to Bitcoin. If a node only looks at the PoS chain and not the BTC chain, how would it know whether Bitcoin has actually confirmed? How would it determine whether the slashing conditions truly triggered? In plain terms: to be the judge, you need to personally observe data from both chains—you can’t rely on secondhand reports.

This is a trade-off in security redundancy. Running only one ledger is obviously lighter, but in signing it’s essentially “guessing” what’s happening on the other side. Guess correctly and you’re fine—guess wrong and the entire finality commitment collapses.

Babylon chooses to make nodes work hard, which in essence rejects the “light-client illusion.” You either perform full verification or you don’t participate—there’s no middle ground.

The cost is very clear: hardware costs double, bandwidth overhead doubles, and operational complexity for nodes jumps by a full level. This will definitely filter out some would-be casual users who want to run nodes easily, leaving mostly professional infrastructure teams.

But what you get in return is tangible: behind every finality signature is the node’s real confirmation of the complete state on both chains. No delegation, no proxy, no domino effect of “I trust him and he trusts you.” This concrete, hard security thickness can’t be replaced by laziness.

I think this design really shows how the Babylon team prioritizes value: security comes first, convenience can be pushed back a bit.@BabylonLabs_io

One question: do you think the high node threshold is a good thing or a risk?

#baby $BABY I rewrote the Babylon whitepaper the night before yesterday, forcing myself not to skip anything I didn’t understand. The moment I finally got to the “Finality Gadget,” I had to chew through it three times—then suddenly it clicked. This thing isn’t playing games or being mysterious. It’s the cleverest little piece in Babylon’s entire architecture.

Let me put it in plain language.

PoS chains have a natural flaw: transactions that are confirmed can still be rolled back. Today you see a transaction that “succeeds,” and tomorrow it might be overturned due to a chain fork. In financial scenarios, that’s a nightmare—you think the money has arrived, but then it’s gone the next day.

So what exactly does Babylon’s Finality Gadget do? It brings Bitcoin in as the “final judge.” Every time the PoS chain produces a batch of blocks, the Finality Gadget imprints that batch’s fingerprint onto the Bitcoin blockchain. Once that fingerprint is confirmed on the Bitcoin chain, those PoS blocks are truly “final”—because Bitcoin’s history is immutable. You can’t just go back and change Bitcoin’s ledger, right?

In other words, the Finality Gadget uses Bitcoin’s irreversibility to seal up the PoS chain’s ledger. Before the seal goes on, transactions are “temporarily valid.” After the seal goes on, transactions are “as good as set in stone.”

When I understood it to this point, a metaphor popped into my head: a PoS chain is like a clerk who might later sneakily alter a couple entries in the books. Babylon’s Finality Gadget is like making a copy of the ledger every ten minutes and putting it into a safe, where the key is held by the network’s total computing power. Anyone who wants to weasel out of payment has to first try to break into the Bitcoin safe.

That’s what Babylon is really selling. Not just “BTC staking earns interest.” It’s that it makes transactions on the PoS chain dare to say the four words “final confirmation” for the first time—and this confidence comes from Bitcoin.

Let me ask everyone: do you think “Bitcoin-level finality” is a must-have for PoS chains, or just a nice-to-have? @BabylonLabs_io

#baby $BABY At midnight, I was reading the Babylon whitepaper. When I saw them drawing the asset flow and the trust model as a diagram, I suddenly sat up straight. They didn’t “optimize the bridge”—they deleted the entire bridge.

The sidechain logic is to move assets: your BTC must be moved from the mainnet to somewhere else, and on the way there has to be a bridge. Babylon’s logic is different: it doesn’t move your BTC. Your BTC stays in your own UTXOs on the Bitcoin mainnet, never leaving. What it does is attach a condition to that UTXO: if a validator/node on the PoS chain misbehaves, then once an on-chain encrypted proof is submitted, the slashing is automatically triggered. In the meantime, your coins are completely still—no one can touch them.

At the time, I drew two arrows on paper. Sidechain: BTC → locked into a custody address → mapped tokens → risk is concentrated on the bridge. Babylon: BTC → keep it in your wallet → attach the slashing condition → risk is pushed over to the misbehaving node.

How should I describe the feeling? It’s like you thought there was only one way to cross a river—fix the bridge—then someone tells you you don’t even need to cross the river; just put a camera on the far bank and watch.

Of course, that doesn’t mean Babylon has no risk. Whether the slashing contract itself is secure, what the boundary conditions are for malicious slashing, and whether the unlock process can get stuck during extreme market conditions—these are all real issues. But the nature of the problems changes: it’s no longer “whether you trust the custodian,” but “whether you can verify the on-chain logic.” The former depends on people’s character; the latter depends on code.

I still don’t think Babylon is the ultimate answer. But it did something that sidechains have never really done: it acknowledges that the bridge is a dead spot, and works around it instead of patching it.

What do you think about the “no-bridge” route?

A. The direction is right—bridges were always the biggest single point of failure in the Bitcoin ecosystem
B. It bypasses the bridge, but the slashing logic itself could become a new vulnerability
C. Too early to tell—wait and see whether anything goes wrong after one year of running on the mainnet @BabylonLabs_io

#baby $BABY Team up with flow-staking protocols like Stride—suddenly the chessboard under Babylon is much bigger

I’ve always felt Babylon had a small downside: self-custody staking is safe, but the staked BTC is locked up, so you can’t use it for anything else at the same time. Safety is maxed out, but liquidity is sacrificed.

Then a couple of days ago I saw news that Babylon and Stride are collaborating, and I felt a chill down my spine.

Stride is a veteran in flow staking in the Cosmos ecosystem. Simply put: you stake your tokens, and it gives you a derivative receipt. This receipt can be used elsewhere—lending, trading, providing liquidity, whatever you like. But previously, most flow-staking schemes ran on PoS chains, with little to do with Bitcoin.

Now these two are coming together, and the logic clicks: you self-custody stake BTC on Babylon, and at the same time you get an on-chain receipt from Stride—evidence that you’ve actually staked your coins. And this receipt can be circulated across the Cosmos ecosystem, even further.

What does that mean? Before, after your BTC was staked, you could only wait for rewards to arrive. Now, it’s like you hold an extra “certificate of deposit.” That certificate can be used as collateral to borrow money, put into a liquidity pool to earn trading fees, and even bridged to other places as a kind of “credit card.” Bitcoin is no longer just that pile of gold coins sitting in a cold wallet—it becomes a machine that can do work on its own.

When I read this collaboration announcement, an image popped into my head: Babylon turns Bitcoin into the “vault” of a PoS chain, and Stride installs “wheels” on that vault. With this partnership, Bitcoin’s composability suddenly breaks out of its usual boundaries—it’s no longer trapped in the safety narrative, and it’s truly charging into the mainstream waters of DeFi. @BabylonLabs_io

#baby $BABY The other day I posted an interaction screenshot from the Babylon testnet in the group. Someone immediately chimed in with a sarcastic remark: “Here comes another track where you’re going to farm an airdrop. You old farmers in this group never stop for a second.”

I can’t be bothered to explain, but I know this for sure—Babylon’s testnet interaction cadence is completely different from all the “weird stuff” I used to mess with.

Back when I farmed other things, what was the deal? You were racing the clock—scrambling for allocations. Gas fees would skyrocket, and you still had to grit your teeth and push through. Finish one bridge, then a swap; finish a swap, then take out a loan. If you didn’t touch it for a day, you felt like someone would overtake you. Exhausting as hell. In the end, the project team一句 “witch filtering” just wiped out half a year of effort.

Babylon doesn’t work like that. It doesn’t care who’s fast or who’s doing the most. It’s about long-term, continuous on-chain behavior. My current rhythm is: spend five minutes every three days—check in, look up node status, and simulate a staking flow. That’s it. Five minutes is already generous; sometimes I just do it while I’m on the toilet.

Even better, it doesn’t compete for time with other protocols. When I do L2 tasks, I can switch over and click twice. Between doing cross-chain bridge stuff, I handle the validator-node checks. These actions feel as natural as brushing your teeth every day—they just fit into my routine. No separate schedule needed.

Most importantly, what Babylon is doing is the real business of Bitcoin’s security layer, not a money-pool game. You don’t have to shuffle assets around. You don’t need to worry about impermanent loss. And you don’t have to fear the team running off—your coins are self-custodied in your wallet, so no one can touch them. The testnet interaction is simply proving one thing: you’re a long-term participant, not someone here to grab a quick handful and run.

My mindset is really steady now. I still run the high-frequency projects that require watching the charts every day, but for Babylon—this low-frequency, long-cycle “pit”—I’m quietly taking my time too. Two legs, no conflict. Once the mainnet launches, this continuously accumulated record of on-chain behavior may be far more valuable than the people who rush in on a temporary impulse. @BabylonLabs_io

#baby $BABY If Babylon’s finality-provider nodes all end up clustered in the U.S., could they all get swept up someday due to regulation?

Last night I came across a regulatory news story, and suddenly this thought popped into my head—I felt a chill run down my neck.

Think about it: if Babylon’s finality providers—that is, the nodes that help PoS chains by offering “security guarantees”—are mostly based in the U.S., what if, one day, the SEC suddenly decides it falls under “unregistered securities activity” or some other strange charge? Wouldn’t that mean everything is basically over?

I thought it through carefully, and this has to be considered in two layers.

First layer: physical node concentration. Right now, it’s true that many of Babylon’s early nodes are in the U.S. The Silicon Valley infrastructure teams have been fighting hard to grab space in the ecosystem. But then again, Babylon’s protocol itself is permissionless. Anyone, anywhere on Earth, as long as they meet the staking requirements, can run a node. There’s no entry gate, no geographic restriction. If regulators really want to act, they’d be shutting down people—not the protocol. This is completely different from centralized exchanges; it’s a different species.

Second layer: this is more important. Even if the U.S. shuts down all the nodes, will my BTC be lost? No. The core logic of self-custody staking is that the coins are in your own wallet and the private key is in your hands. If a node is shut down, at most the part that node performs—its “work” on your behalf—pauses temporarily. You can redirect staking to nodes in other countries, or simply unstake and retrieve your BTC. You don’t need any U.S. institution’s approval at any point.

Thinking about it, I actually calmed down. Regulatory risk is real—nobody can pretend it isn’t. But Babylon’s decentralized, permissionless, self-custody architecture is inherently built to withstand regulation. It doesn’t fear a single country flipping out, because it isn’t a company—it’s a set of rules. As long as the Bitcoin network is still running, the rules remain.

This is probably what decentralization really means: it’s not that nobody regulates—it’s that nobody can regulate it out of existence. @BabylonLabs_io

#baby $BABY Friends advised me not to go all-in on Babylon. I went digging into the founders’ actual background instead—and then, to my surprise, I added more to my position.

Funny enough, I originally went in with the mindset of looking for dirt.

One guy in the group kept shouting that Babylon is the next king-level project, which got on my nerves. I’m the kind of person with a contrarian streak—if you hype something too much, I get more suspicious. So I decided to do my own homework and dig into the team’s roots to find something that would shut him up.

I didn’t start with the official website—I started with Google Scholar. The moment I searched for the name of co-founder David Tse, the number of papers and citations actually stunned me. He’s a Stanford lifetime professor and an IEEE Fellow, deeply focused on communication networks and distributed systems for decades. The number of top-journal papers he’s published is more than the whitepapers I’ve read. And he’s not just a “name on paper” type—his first-authored work on the core consensus security model underlying Babylon is literally his.

Then I went to GitHub to check another co-founder, Fisher Yu’s submission history. I thought it would be the kind of open-source code that gets pushed for three months, then gets abandoned. But their commit history was solid in a way that made even me—an amateur programmer—feel embarrassed. From the way the code is written, you can tell it’s from years of experience, not something a temporary team could fake.

By that point, I already had my answer. A Stanford professor plus a Bitcoin-core-level developer—while they could be making quick money elsewhere, they instead chose to grind through the hard problem of BTC self-custody staking. This kind of lineup is either the real deal, or just plain stupid. After looking around, I concluded it’s the former.

So I turned off the materials I planned to use to argue with that guy, opened my wallet, and quietly added another entry. Sometimes trust isn’t built from whitepapers—it’s built from a person’s real, tangible track record over twenty years. @BabylonLabs_io

#baby $BABY A couple of days ago, I went skewers-on-the-grill with an old guy who’d been playing with Bitcoin for six years. I tossed out a casual remark that Babylon’s self-custody staking was pretty interesting. The moment he set down his beer mug, his eyes changed instantly: “You’re getting excited, huh? Don’t you remember how FTX went down back then?”

I actually laughed, because his reaction was exactly the same as mine three months earlier.

Back then, whenever someone said “Bitcoin staking,” my brain would automatically translate it into: “You hand over your private key, and the other guy runs away.” Later, when I actually went to mess with the Babylon testnet, I realized it was nothing like that—your BTC doesn’t move at all. It stays in your own wallet, behaving itself. All it does is add an extra condition to the Bitcoin blockchain: if a certain node acts maliciously, the corresponding BTC can be slashed. Other than that, nobody can touch your coins.

Right there, I pulled up my wallet and showed the old guy. After he finished watching, he went silent for three seconds and finally squeezed out one line: “So it’s basically putting insurance on Bitcoin?”

He wasn’t wrong.

Traditional staking is “you give me the money, and I manage it.” Babylon is “you keep the money, but we write up the terms—whoever cheats has to pay.” Your private key stays with you, your signatures are yours as well, and even the slashing conditions are publicly verifiable on-chain. It’s not that you have to trust the protocol—it’s that the protocol basically doesn’t require your trust at all.

After that round of skewers, he didn’t decide on the spot to get involved, but when he was leaving, he said something that really stuck with me: “I’ve been playing with Bitcoin for so long, and this is the first time I feel like, besides hoarding, you can actually do something else.”

I think the truly impressive thing about Babylon is right here: it didn’t make anyone hand over their sense of security, yet it gave everyone another path. @BabylonLabs_io

#baby $BABY Why did I decide to throw 0.1 BTC into Babylon staking? Did I regret it after 3 days?

Honestly, when I transferred that 0.1 BTC out, my hand was trembling.

It wasn’t because I was afraid of losing it—I know Babylon is self-custody staking, with the private keys staying in my cold wallet the whole time, and nobody can move my funds. What I was afraid of was locking it in and turning it into dead money, missing this round of market action. After all, that 0.1 BTC was built up from last year through steady DCA—I have feelings for it.

But the reason I still decided to put it in is that I’m simply fed up with Bitcoin just sitting in a wallet doing nothing. Other chains are playing staking, lending, and then restaking like crazy. Bitcoin, king of the bunch, besides hodling, basically produces zero yield. Babylon solves exactly that itch for me: it doesn’t require cross-chain transfers and doesn’t rely on trusting any custodian. It lets BTC provide economic security to the PoS chain on the original network, and lets holders like me earn real on-chain returns. The feeling is so fresh—it’s like suddenly realizing that the box of gold in the house can still be “insured” and collect premiums.

Three days later—regret it?

No, but the real emotions are complicated. Watching testnet points slowly climb has definitely made me feel more at ease—at least that 0.1 BTC has started to “work.” But I didn’t get carried away; the mainnet hasn’t launched yet, so everything is still just prelude. What surprised me is that in these three days I was forced to go back through Babylon’s whitepaper and economic model again, and my understanding deepened a lot. That makes me feel that even if the final returns aren’t as good as imagined, just pushing myself to fully understand the “security output” logic of Bitcoin means this round is still not a loss.

I’m determined to take part in self-custody staking, but I’ll move more steadily. I can say I’ve genuinely stepped through the door of Babylon. @BabylonLabs_io

#newt $NEWT Last month, didn’t I submit a fake strategy to test the review process? You know—the version where the backtest data had been tampered with and the curve was intentionally made to look pretty. After the system flagged it and sent it back, I originally planned to let the whole thing rot inside me.

Then a week later, the Newton Developer Community suddenly launched a small event—an open bounty to find vulnerabilities. The rules were simple: the team would place a few “problem strategies” in the review pool. Whoever first found the traces of data fabrication and submitted an on-chain verification report would get the prize. When I saw the announcement, my heart sank—I thought, what if my thing is being used as the target?

Two days later, a community developer posted a detailed breakdown. The title was: “This strategy’s curve is too pretty—so pretty it isn’t real.” He compared the backtest records and the on-chain data point by point, precisely marking three segments of “beautification” traces—exactly the parts where I deleted the loss data and manually smoothed the curve.

At the end of the report, he added: “This packaging technique is hard to detect with the naked eye on traditional platforms, but under Newton’s on-chain review logic, the curve’s arc itself will expose the problem.”

The comments section went wild. Some people praised him as if he had detective superpowers. Others said, so this is how on-chain review works. And then people started teaming up to analyze the curves of other strategies waiting to be listed. In the end, the event paid out three bounties, and each payment corresponded to a specific fabricated data point that had been pulled out.

I sat in front of my screen scrolling through the post, feeling complicated. Not because the strategy was being “crucified”—it was always just a test piece. The complication came from realizing, all at once, that the review mechanism could actually work like this. It’s not hidden behind a single line of code in the background—it can become a public game that the community participates in. Review power isn’t monopolized by the platform; it’s broken into verifiable tools laid right on the table.

In the end, my fake strategy became a teaching example for the community, which was more meaningful than quietly getting sent back. It used a “public autopsy” to tell everyone: in this market, you might be able to lie in your description, but you can’t lie on-chain. Because the threshold isn’t there to block people—it’s there to filter out those who aren’t willing to have their claims publicly verified. And that bountied strategy of mine? It also, at least, didn’t end up living in vain. @NewtonProtocol

#newt $NEWT Last weekend, the Newton developer community blew up over something. It started when a technical user with the ID “On-chain Hunter” posted a long thread titled very directly—“I tried three times to front-run on Newton, and failed every time; here’s the record.”

This person had previously done MEV research on other public chains, and within just a few days of joining the Newton community, they started experimenting. In the post, they documented three attempts in detail: the first was to insert a same-direction transaction after a strategy’s opening signal was broadcast but before it was confirmed. The result was that the sorter packaged transactions in timestamp order, and their transaction was placed behind others, so the front-run failed.

The second time, they tried a different approach: tampering with transaction ordering during the sorting phase by using the gap between node rotations to reshuffle the sequence. But that block happened to be produced by the third validator node, and the timestamp anchoring mechanism made reshuffling too costly to be worthwhile, so it failed again.

The third attempt was the most aggressive. They directly tried to submit a fake computation proof, hoping to fool the verification layer. As a result, the Rollup validator node found during secondary verification that the computation proof did not match the execution result and immediately rejected the transaction. They wrote a line in the post: “I couldn’t even get past the gate of the verification layer.”

After the post went up, the comment section shifted from skepticism to technical discussion. Someone asked what made Newton’s MEV protection so strong, and they replied with something that left a deep impression on me: MEV protection on most chains relies on moral restraint or economic penalties, whereas Newton relies on two layers of mechanisms—timestamp anchoring makes reshuffling extremely costly, and computation proofs ensure fake transactions simply cannot enter the settlement layer.

This test was not officially conducted; it was something a community user came up with on their own. Precisely for that reason, its persuasiveness is stronger than any security promise in a white paper. I don’t have the technical background to reproduce the experiment, but I can read the on-chain records—the three failed front-running transactions are still sitting in the test address, and anyone can verify them.

The offense-and-defense game around MEV will never end, and no system can claim to be absolutely immune. But Newton has at least achieved one thing: the key to its defenses is not in the hands of any project team, but in public block records and verifiable mechanisms. Someone in the community tested it, the result was made public, and that carries more weight than ten thousand statements of “we’re very safe”@NewtonProtocol