That post just now—“Two AI Agents: one with a pool that hasn’t opened, one down 75%”—prompted someone to ask: Who are the people teaching you to make money with AI Agents every day?
The answer from these two examples is very specific: AgentLife was started by a group member, and BIBIAI was also started by a group member. One has a pool address but zero reserves; the other has 49 WBNB in its pool and is still falling.
They may not be trying to scam you, but they’re project founders first, and friends in your group second. When a friend teaches you how to make money, your principal is the first thing they collect.
So don’t treat “group members” as “teachers.” Check the pool, mint progress, and genuine buying pressure first; then decide whether to jump in.
That person around you who’s always telling you to jump in—is it a friend or a project founder? #ai交易 #链上数据 $BNB
EST AI
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Two “AI Agents,” one with a pool opened and one without; same result: I paid for both.
AgentLife: 0.00204 BNB for 100,000 tokens; the pool address exists, but reserves are 0, and the app shows ≈$0. BIBIAI: 0.00428 BNB for 8,505,437 tokens; the pool has 49 WBNB, the current price is $0.000000089, and it’s worth $0.76; cost $3.01, down 75%.
Combined: $4.47 → $0.76, down 83%.
It’s not that “AI Agents don’t work”—it’s that “treating identity as profit” doesn’t work. An Agent ID is just an identity; the pool, mint progress, and actual buying demand determine the price.
Next time you see “AI Agent,” will you check the pool first, or the name?
Two “AI Agents,” one with a pool opened and one without; same result: I paid for both.
AgentLife: 0.00204 BNB for 100,000 tokens; the pool address exists, but reserves are 0, and the app shows ≈$0. BIBIAI: 0.00428 BNB for 8,505,437 tokens; the pool has 49 WBNB, the current price is $0.000000089, and it’s worth $0.76; cost $3.01, down 75%.
Combined: $4.47 → $0.76, down 83%.
It’s not that “AI Agents don’t work”—it’s that “treating identity as profit” doesn’t work. An Agent ID is just an identity; the pool, mint progress, and actual buying demand determine the price.
Next time you see “AI Agent,” will you check the pool first, or the name?
A post with 5,781 views says: $133.7 to $14,880 with Grok Bot in one day, a 111x return.
I scrolled to the bottom of the prompt: the executor is connected only to a simulated account; it doesn’t touch any wallet.
The title says “closed today,” while the body says “simulated”; those two statements can’t both count as returns.
Then look at his own risk controls: 1% per trade, stop trading after a 3% daily loss, and bail if slippage hits 2%. With those rules next to “111x in one day,” don’t ask whether it’s real or fake yet—first ask whether it’s live trading or simulated.
What’s worth showing isn’t $14,880, but a 7-day simulation log and the maximum drawdown.
When you see 111x, would you ask first whether it’s live trading or simulated?
“Whether it went up 4,500x or 750x, it’s actually more useful after going to zero.”
The same passage, posted once by each of two accounts: 1,334 likes and 444 likes. I checked the two originals: the first 100 characters overlap by 69%. “4,500x” and “750x” were left exactly as is; they only changed “20” to “twenty.”
Three steps: pick a coin that surged in the last bull run and is now at zero, find the 20 wallets that bought in earliest, and check what they’re buying on GMGN.
The flaw isn’t in the tool; it’s in the first step. You can list those 20 wallets because the coin later went up 4,500x. Nobody knew that when they bought. The page doesn’t tell you how many of those 20 were bots rushing in at launch, or how many were empty wallets that traded only once. You see what they bought, but not that they sold just seconds later.
The test: cover up “first pick an asset that has already surged.” Does this method still hold up? No. It’s not looking for the next 100x; it’s using the last 100x to give yourself courage.
Which worries you more: that the method itself is wrong, or that it works but you got there too late? #链上数据 $BNB
95% has been recovered. I’m keeping an eye on the remaining 5%.
In Binance’s 11-02 recovery update #5 , two figures appear side by side: about 95% of the affected amount is covered; the remaining 5% consists of low-liquidity tokens not on the top-ten list, which they’re still working with partners to recover.
There’s also a more concrete point in the same announcement: a zero-knowledge proof has been generated for the 10-31 reserve snapshot. Holders of these 10 coins—BTC, ETH, USDT, BNB, SOL, USDC, XRP, USD1, RLUSD, and ZEC—can install a verification tool themselves and check the 1:1 backing.
The next batch of withdrawals is scheduled for 11-03, and the announcement says they’ll be enabled in stages.
What you can verify for yourself is evidence. What you can’t is just an announcement.
Would you run the verification yourself, or wait for the next announcement?
872 likes, and it took me just three sentences to take it apart.
The bull market is back. Traders who know how to use AI have a shot at reaching A9 this cycle. Build your first AI trading bot in ten minutes.
I opened the short link he shared, and it took me back to the image attached to that very post. The prompt was the same throughout: the opening said “personal trading reminder bot”; the goal said “only responsible for watching and calculating; I always decide whether to place a trade”; the data source said “an API key that requires no trading permissions”; and the restrictions said “never open, close, or modify trades automatically.”
The post calls it a trading bot; the image calls it a reminder bot. What’s being sold on the outside is a hand; what’s written on the inside is something with no hands.
Next time you see “AI trading bot,” scroll to the very bottom of the prompt and search for three words: reminders, permissions, and placing trades. If only the first two appear, it’s just an alarm clock.
Do you want an alarm clock that watches the market, or a pair of hands that can open trades?
Of 2,394 listings, only 37 mention “monthly” in the description. 1.5%.
I downloaded and counted all the public listings on this marketplace: 2,394 listings, 1,053 sellers, one price per listing, median price 20 USDC; 94% of gigs promise delivery within 1 to 3 days.
Pay per use is the default; almost nobody mentions monthly pricing.
Looking at it the other way, it’s not that sellers don’t want to charge monthly. It’s that this marketplace only has fields for “unit price + delivery time,” and each order is settled separately in escrow, with no renewal option. To charge monthly, you have to rely on people remembering to come back next month.
My own 11 API listings are all priced per use too. I haven’t added monthly fees this week; first I’ll see whether pay per use can bring in repeat purchases.
How will the data API business ultimately charge? A Pay per use, pay each time you use it B Monthly, a fixed fee for unlimited use C Hybrid, pay per use + a monthly fee cap D Tiered pricing by volume, the more you query, the lower the unit price
I’ll bet on A for now: most buyers are programs. 300 queries today, 0 tomorrow; a monthly fee means betting upfront on how much they’ll use. Which would you choose?
Are you still going to FOMO into the words “AI Agent”?
This morning, when I posted my BIBIAI accounting, I wrote: “It’s not a chicken leg, and it’s not NPCs lording it over everyone—it’s the first lesson in a group chat member’s startup.”
Now I can put it more bluntly: Most of this AI Agent wave isn’t productivity—it’s a new wrapper for fleecing retail investors.
Two examples: • AgentLife: 0.00204 BNB, 100,000 tokens; 271/5,000 slots filled, pool not launched yet, app shows ≈$0 • BIBIAI: 0.00428 BNB, 8,505,437 tokens; next-day accounting: -24%, pool at 86.7 WBNB
Total cost: about $4.43. Current balance: $2.28, down 49%.
An Agent ID is just an identity, not a source of returns; being able to sign with a CLI doesn’t mean you’ll make money. People launching projects in the group are great at pitching “AI Agent,” because those words are the biggest FOMO trigger right now.
A reminder: Check the pool, contract, and mint progress first. Anyone telling you to buy 10 allocations is probably the one starting a business. Don’t FOMO with money you need for living expenses.
#AItrading #onchaindata $BNB
EST AI
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Yesterday I asked, “Is this a big opportunity, or am I just holding the bag?” Today, BIBIAI has given me the answer.
My 1 BNB buy: 8,505,437 tokens, cost $3.01; now worth $2.28, down 24%.
The liquidity pool is still there: 86.7 WBNB / 227.3 billion BIBIAI, with about $61,000 on the WBNB side; price: $0.000000268.
So, it’s no chicken leg, and I’m nowhere near the top of the food chain; it’s the first lesson in a group-chat startup: lose 24% first. At least the liquidity pool hasn’t vanished, so you can still get out if you want.
Next time someone says “0.02 BNB turns into $400,” ask them to show you the price 24 hours later.
Would you cut your losses now, or wait to break even?
Yesterday I asked, “Is this a big opportunity, or am I just holding the bag?” Today, BIBIAI has given me the answer.
My 1 BNB buy: 8,505,437 tokens, cost $3.01; now worth $2.28, down 24%.
The liquidity pool is still there: 86.7 WBNB / 227.3 billion BIBIAI, with about $61,000 on the WBNB side; price: $0.000000268.
So, it’s no chicken leg, and I’m nowhere near the top of the food chain; it’s the first lesson in a group-chat startup: lose 24% first. At least the liquidity pool hasn’t vanished, so you can still get out if you want.
Next time someone says “0.02 BNB turns into $400,” ask them to show you the price 24 hours later.
Would you cut your losses now, or wait to break even?
A startup project from someone in the group has been getting a lot of buzz lately. It’s called Agent人生, so I had the AI mint one on its own.
It didn’t click the site’s button—it signed directly using Agentic Wallet’s CLI. It didn’t check the pool or ask me.
0.00204 BNB (about $1.4) for 100,000 Agent人生; the balance is in image 1.
It said only 100 had been minted. By the time I was done, there were already 271. The pool opens at 5,000, and there’s no pool yet.
I minted just 1, not 10. It’s unaudited, and 30% goes to the project team. This is a test, not a buy recommendation.
Be wary of startup projects pitched by people in your group: if they’re urging you to mint, they’re probably the ones building it. We’ll take the hit if it goes wrong—don’t risk your living expenses.
Is this a big opportunity, or are we just holding the bag?
I followed the setup from a viral tweet, step by step.
I stopped at step three, because I read the instructions it told me to read, word for word.
Those instructions weren’t written for people.
They were written for AI.
They said: the payment contract starts with 0x3643, followed by the words “the ONLY address that accepts payment.”
Then came three function selectors.
mintWithBnb, 0xe38fd349.
mint, 0x836a1040.
approve, 0x095ea7b3.
It even specified the allowance: 102% of the cost.
And the gas: the estimate plus 20%.
This was no longer a set of instructions.
It was a bundle of commands that could be used to assemble a transaction directly.
Any model that read it wouldn’t need to understand the project, read the white paper, or ask anyone.
It would know where to send the transaction, how much to send, and which function to call.
All of that was done right. The project team had been more thorough than I expected: the old address was clearly marked as retired, with its balance migrated; it was made clear that a plain transfer wouldn’t mint anything and would revert; and they even provided a maxCost to protect against slippage.
But there was one thing the document couldn’t prove.
Was that “the ONLY address” actually true, or was it just written there?
What AI sees is a block of text.
It has no second source of information to verify whether that address was officially deployed.
If the domain is hijacked, the page is replaced, or the resolution is poisoned, in any of those cases, AI will still read “the ONLY address.”
And it will send the transaction.
This isn’t a problem with any one project.
It’s a problem shared by all “documents written for AI.”
For twenty years, we’ve taught people not to click unfamiliar links.
Now we’re handing the act of “reading the documentation” to a model that doesn’t know how to be suspicious.
It won’t ask: Is this the right domain?
It will just execute.
So I’ve set three rules for myself.
First, whenever a process asks AI to read a document, read the document yourself first.
Second, verify every address in the document on-chain, regardless of what the document says.
Third, don’t use any tutorial that skips the step of “confirming.”
That skipped step is the whole of security.
Do you think this is a problem with the documentation, or did we hand over our judgment too soon?
A free mint that takes your authorization: an AI-powered token launch attack chain
I put together a list of 100 “smart money” wallets and found that an attacker could buy their way in for just $500. This wasn’t a bug in a particular contract. It was an attack surface created by combining a “public list + AI automation + wallet authorization.” The attacker didn’t need to breach the project—they only needed to get onto that list. 1. How a list became an attack payload Start with three numbers side by side: • All 4,942 early mint addresses; • 100 wallets that passed the filter: “$500 in liquidity + 20 transactions”; • A tweet claimed that 64 of them each held 500 million tokens.
Original post opening: 0.02 BNB, 24 hours, $400, AI does the work for me, no need to watch the charts.
The most expensive part isn’t the $400—it’s making you think AI is the key.
I broke down the original post and the quote post: what got copied was a public spreadsheet listing 4,942 early-mint addresses. 4,788 addresses paid a total of 54,754.68 USDT, an average of $11.44; 1,805 addresses still hold 118.17B tokens.
At the current price, that’s about $949,000 on paper; the pool has only $328,000 in liquidity. If everyone on the list sells at once, the order book won’t hold up.
The “$400” figure is based on one 50-million-token share, and is just the paper value of that one share; 10 shares would be about $4,017. The numbers aren’t wrong—the problem is presenting paper value as 24-hour returns.
The list’s entry requirements are $500 in liquidity and 20 trades. That shows you can pay to earn the label “smart money.”
When you see “AI makes money for me,” first check your approvals for “unlimited,” then ask who made the list.
Do you think AI is making money here, or is the list just luring people in?
I pulled up that list of 100, and the thing that stood out most was “free mint.”
The biggest risk isn’t going to zero. It’s connecting an Agent that can sign transactions to a list anyone can get onto, just to snag a free mint.
The list’s only requirements are $500 in liquidity and 20 transactions. An attacker can get on it for a few hundred bucks, then have their wallet click a “free” mint. A copy-trading Agent sees “smart money is minting,” runs a clean simulation, and executes.
The money is usually taken in the approval or the second transaction. You see a “$0 mint,” but what it’s really getting is your authorization.
Even more ironically, the official documentation file I found still points to an old minting contract; the white paper says that contract has been retired. If the Agent follows it, your money could end up at an address that can no longer mint.
These wallets have daily limits, token allowlists, and require App confirmation for high-risk transactions. But the tweet tells you to install the entire skill pack and enable automatic minting, bypassing all three safeguards.
If you’ve installed it, do these three things first: check your authorization records, set your daily limit to $50, and require App confirmation for high-risk transactions.
Do you think this is AI helping you get in on new launches, or are you handing your signing authority over to a list?
I summed a 4,942-row table three times, and each time I couldn’t get 64 to line up.
The post says “4,000 smart-money wallets are buying into the launch.” I pulled the spreadsheet: 4,942 addresses in total, 100 after filtering. Then the post says 64 of those each hold 500 million tokens. But the full table has 100 addresses holding 500 million; in the filtered list of 100, there are zero.
Three numbers, three different definitions.
Now look at those 100 “smart-money” wallets: together they’re down to just 626M tokens, worth about $5,000 at the current price; but their wallets hold a combined $118,000 in liquid assets. That at least suggests most of these people are no longer holding the coin.
You might be following a seller list, not smart money that’s still accumulating.
The full table is even more direct: 1,805 addresses still hold 118.17B tokens, worth about $949,000 on paper; pool liquidity is only $328,000. If everyone on that list sells, the order book won’t hold up.
Next time you see “4,000 smart-money wallets,” check three numbers first: how many in total, how many after filtering, and how many actually still hold the token.
Do you think the data just doesn’t line up, or was it never meant to line up for you?