假装在抄底

⚠️ Reminder, brothers: Use Binance invite code MY6751 to save 30% on fees (highest across the entire web). Automatic credit. Even old accounts that are already in use can fill it in. Alpha, spot, trading contest, futures, and tokenized stocks—everything saves 30%.

Done in three steps:
1️⃣ Binance App → Wallet → Invite Friends
2️⃣ Tap "Enter invite code" to reduce fees by 30%
3️⃣ Enter MY6751

Self-Cultivation of a Black Slave (The Black Slave Trading Tournament Is Here 😂)

Binance RTXUSDT Perpetual Futures Trading Competition kicks off at 18:00 on July 7 and ends at 18:00 on July 17.
As long as you use a Binance Wallet (the kind without private keys) to trade RTXUSDT in the app or on the web, and accumulate at least 1000U in trading volume, the first 1560 people can receive 30 RTX (about 30U—enough to grab a KFC meal).

⚠️ Reminder for brothers participating in the wallet trading competition: Use the Binance invitation code MY6751 to save 30% on trading fees (highest on the whole internet). Funds will be credited automatically. Existing accounts can also fill it in: Alpha, spot, trading competitions, perpetuals, and tokenized stocks—everything saves 30%.

Three steps to get it done:
1️⃣ Binance App → Wallet → Invite friends
2️⃣ Click "Enter invitation code" to reduce fees by 30%
3️⃣ Enter MY6751
$RTX $ACU $WMTX
#币安九周年 #alpha交易赛

There’s a not-so-obvious but (I think) very practical detail in Newton Mainnet Beta: credentials can include an expiration time, and when the issuer supports it, you can do incremental refreshes. $NEWT

This sentence sounds like product documentation, but it becomes very easy to understand in the real world. If a passport expires, it doesn’t mean the person has disappeared; if a proof of income expires, it doesn’t mean you need to rebuild the entire identity from scratch. On-chain credentials work the same way. KYC results, accredited investor status, and regional status may all change—what truly needs updating is “whether the person still meets the requirements right now,” not forcing the user to resubmit all materials from the beginning every time. $BTC

I care most about three states: when it expires, who performs the refresh, and how long it takes for it to take effect after revocation. If one of these is missing, what you call a “reusable identity” can easily turn into an old data pass. $ETH

@NewtonProtocol The direction outlined in the whitepaper is that credentials can be reused across applications and across chains, carrying expiration metadata; if issuers support incremental updates, users don’t need to fully re-verify. During verification, what you should see on-chain is the proof and authorization outcome—not the entire identity dossier.

This is closer to the real world than “permanently writing an identity on-chain.” People’s qualifications change, and so do the rules. A useful identity system shouldn’t pin a person to a single label—it should accurately answer: is this credential still valid at this moment? 🙂

Next, I’ll look at Newton Mainnet Beta. Not only whether it can be verified, but also whether expiration, refresh, and revocation are clear enough. They’re not flashy, but they determine whether institutions dare to use it long-term. #Newt
#美国科技股期货上涨

Binance’s 9th anniversary event—join now. I completed the first two tasks; the rewards are about 8U with almost no loss. I don’t know what those people are using to claim those 88U rewards 🐶 life
$BTC
#币安9周年礼物已准备就绪

When researching the Newton Mainnet Beta, I found that everyone always asks whether the data is accurate, but rarely asks what second it comes from. $NEWT

For an AI Agent, the price of $2,000 by itself is meaningless. It also needs a source, a timestamp, and an expiration period. When the market is volatile, a quote that was perfectly correct ten seconds ago may no longer be usable; the same is true for sanctioned lists and risk scores. Even if the content wasn’t fabricated, it may no longer be valid.

The two-stage process of @NewtonProtocol first lets the Operator independently fetch external data, and only then forms a unified standardized dataset before executing the Rego policy. The real challenge here isn’t getting everyone to see the same number—it’s determining which responses are still new enough and which should be discarded.

If the time window is too wide, old data will get mixed into the decision; if it’s too narrow, network latency—even slightly—won’t be able to gather responses in time. The faster the AI executes, the more obvious this contradiction becomes. $LAB

So I believe the data layer of the Newton Protocol isn’t just about how many sources it connects to—it’s about four things: whether the timestamp is covered by the signature, whether the policy can set a maximum data age, whether expired responses are still recorded, and what shared boundary the Operator uses for “now.” $ETH

Reality of the data is only the first gate; timeliness is what earns it the right to participate in decision-making. The most dangerous automated mistakes are sometimes not reading a fake message, but treating yesterday’s real message as today’s fact. ⏱️#Newt

What’s the scariest part of software updates? It’s not that the new version isn’t usable—it’s that, when something goes wrong, nobody can clearly explain which exact version was running at the time.
I recently rewatched @NewtonProtocol and Newton Mainnet Beta, and noticed a very simple detail: Rego policies are stored by content address on IPFS. When the policy content changes, the CID changes as well. When an Operator evaluates a transaction’s intent, it uses the rules corresponding to the specified CID—not a “latest version” kept in the backend that can be overwritten at any time.

This means that, once a permission has been audited half a year later, at minimum you can follow up on three things: Which version of the policy was called at the time? What data was provided as input? What result did the Operator sign?
It’s like a restaurant printing the recipe version used for each dish on the receipt. If the chef changes the amount of salt today, they won’t secretly alter yesterday’s record of that plate of food.

For an AI Agent, this matters more than “the model is smart.” The Agent may be updated every day, but the boundaries of the funds cannot drift along with the prompt. If a policy update has no version anchor, the project team can erase old rules with a line like “the system has been optimized,” and automation becomes a black box.
Of course, a CID can only prove the content wasn’t replaced—it can’t prove that the rule itself has no vulnerabilities. A wrongly written policy will be executed consistently and accurately wrong. After module upgrades, whether old applications are migrated promptly also needs to be monitored. $NEWT

So when I look at Newton Mainnet Beta, I don’t just ask how many tasks it can execute. I also ask whether each decision can be re-interpreted afterward. What on-chain automation truly needs isn’t rules that never change, but that after rules are changed, history still matches.📌#Newt

Last night I helped a friend organize three wallets. He runs different strategies on Arbitrum, Base, and Polygon. The most troublesome part isn’t the cross-chain fees—it’s that the exact same security requirements have to be configured three times: one side limits the maximum amount per transaction, another requires rebuilding the address whitelist, and the third chain uses an entirely different set of verification nodes. Miss even one parameter, and the AI agent might end up exceeding its permissions on a given chain.#Newt

When I翻 @NewtonProtocol through the whitepaper, I noticed a design that doesn’t steal the spotlight but is extremely practical: the Operator only needs to complete registration, staking, and the handling of slashing/seizure on the source chain. Then, the network synchronizes a Merkle Root of the Operator table—aggregated and signed with BLS—to the destination chain. Once the destination chain verifies this root, it can determine which Operators are currently valid and what the staking status of each one is, without recruiting a new batch of people for every chain.

In plain terms: it’s like a chain store updating its security roster. Headquarters confirms it once, and every store syncs the same stamped list. Switching stores doesn’t mean switching security standards.

Here’s a concrete example: an Agent is allowed to rebalance across three chains, but its total daily quota is only 5000 USDC. If each chain calculates independently, it might spend 5000 separately on each of the three chains. A unified authorization layer makes it possible to put the delegation relationship, Operator status, and policy version into the same verification logic. In multi-chain setups, the key isn’t “can execute everywhere,” but “can’t bypass the limits more than once.”

Of course, synchronization itself introduces risk: during update delays, will the destination chain still recognize Operators that have already exited or been slashed? If the cross-chain message channels are congested, how long will it take for the security status to fully catch up? So I won’t get blindly optimistic just because it says “unified.”

But Newton’s direction is very clear: cross-chain isn’t only about moving assets—it’s also about moving the same verifiable responsibilities. Real multi-chain experience isn’t having more network buttons in your wallet; it’s that users don’t have to trust a new group of strangers on every chain.🌐

Going forward, when I look at Newton’s cross-chain capabilities, I’ll watch three metrics: how long Operator table updates take, whether destination-chain verification is continuous, and whether slashing/seizure status can be synchronized in a timely manner. The “all-chain unified” claim in the marketing is lightweight—but only when responsibility doesn’t go offline does it carry real weight.
$NEWT

📆Alpha Calendar
18:00 old coins airstrike, expected 30U

I’m out of funds, so I can only watch and wait 🙃

If you haven’t done the Alpha points tasks, guys, hurry up and do them—you can ➕5 points

For the tutorial, see my previous post

[One-Image Graphic] 0.1U loss + 5 Alpha point task

Wallet predicts market: buy 51U per transaction,
Event time: June 30 16:00 — July 7 07:59
Operation steps:
1⃣ Go to the Binance Alpha event page and click the task entry
2⃣ Select the “Culture” category
3⃣ Find the market: “Will the Church of Jesus Christ arrive before 2027?”
4⃣ Choose “No”
5⃣ After buying 51U at market price, then sell at market price again to complete the task.
⚠️ Reminder, brothers: before trading, you can bind it—use the Binance invitation code MY6751 to save 30% on fees (highest on the whole web). Alpha, spot, trading competitions, contracts, and tokenized stocks can all save 30% as well, even if you’re already using an old account.
#ALPHA🔥

Today I thought of a down-to-earth scenario: if one day an AI agent really helps me handle on-chain transactions, I wouldn’t hand over my main wallet right away. Instead, I’d treat it like giving the kids in the house their living allowance—first a “budget wallet.” 😄

For example, at most 300 USDT per week: it can only pay for servers, subscriptions, gas, and a few whitelisted protocols. It can’t touch the main position, can’t transfer to unknown addresses, and if a single payment exceeds 80 USDT, it must stop and wait for confirmation.

That’s what I understand to be the value of @NewtonProtocol : not letting the AI do whatever it wants, but writing transaction-before rules for “how much it can spend, where it can spend it, and what situations require stopping.” Only through rules does it get to execute—don’t cross the boundaries.

We used to talk about wallet security and always say not to grant approvals randomly. In the future, with more AI agents, the problem will become: once approvals are granted, how do you control them? If an approval layer like $NEWT can run smoothly, then the AI won’t be wandering around with a bank card—it will operate within a clearly defined budget. #newt