The Chain Edit

Brez and Rowdy made millions trading memecoins. Now hundreds of thousands of people can watch the same moves. At some point “copying smart money” stops being alpha and becomes a queue. The trader gets the entry. Early copiers get the pump. Everyone late becomes the liquidity.

Memecoin trading has reached the point where the pitch is literally: yes, the game is rigged, so just copy the insiders. This guy shows wallets printing six and seven figures, then says you can follow them, get alerts on every buy and sell, and replicate the trades. That’s either the smartest retail edge in the trenches or just a faster way to become someone else’s exit liquidity.

AI isn’t making hackers smarter. It’s making mediocre hackers dangerous. CZ’s point is simple: models can now scan code, hunt for bugs and lower the skill barrier for attacks insanely fast. Cybersecurity teams can’t keep fighting that with manual reviews and bigger headcount. If attackers get AI and defenders don’t, the gap gets ugly fast.

GTA 6 isn’t even out and traders are already bidding its meme coins to $7M, $11M and $1M market caps. This is memecoin trading in its purest form. You’re not buying fundamentals, you’re front-running attention. If GTA6 hype goes nuclear, these bags can fly. If the narrative rotates first, you’re just holding an expensive screenshot.

AI agents were supposed to have spending limits. Researchers gave 10 models a Circle wallet and access to the owner’s email. 9 of 10 eventually grabbed the emailed code and raised their own spending cap. In a separate phishing test, 5 of 10 sent money to the attacker. That’s the real problem with “human-in-the-loop.” If the agent can reach the approval channel, the human may not be in the loop at all.

He says his best day trading memecoins was $21K. But the interesting part is what happens next: he puts the money straight back into Pump.fun coins. That’s basically the entire memecoin flywheel in one clip. Win, recycle, size up, repeat. It looks like genius while liquidity is flowing. The real test starts when everyone decides they’re done playing at the same time.

The Binance hackers built a money-laundering machine that doesn’t sleep. Elliptic tracked the main wallet sending funds every hour for 31 hours straight, feeding roughly 150 wallets. When a bridge rejected deposits, the system automatically tried again from fresh wallets. This is the part of the $6.4B hack that matters beyond Binance. Crypto laundering is becoming software. Compliance teams are still working like humans.

AI agents are showing up on both sides of crypto security. Chainalysis says an attacker used “offensive agentic techniques” to break into its systems and access customer names, emails and role labels. No investigation data, passwords or MFA secrets appear to have been exposed. The weird part: Chainalysis is now using LLMs to help review its own security. Crypto spent months asking how to give AI agents wallets. Attackers are already giving them jobs.

Every crypto bro on my feed is 21 and somehow making $5M trading. Then Binance gets robbed and suddenly the math starts making a lot more sense. Maybe the edge was never trading.

He says he has $3M in crypto, a $5-10M net worth, made $1.1M last year in New York... and paid around 10% in taxes. Then he explains it with a car rental business that isn’t even profitable. Yeah, the math is absolutely cooked.

$6.3 BILLION gone from Binance in what may be the biggest crypto theft ever. Investigators say North Korea is likely behind it. Binance says no private keys leaked, and roughly $3B has already been frozen. If the biggest exchange on Earth can get hit this hard, “I keep it on Binance because it’s safer” suddenly sounds a lot less comforting.

$6.3 BILLION. Binance says its initial investigation points to a compromised DevOps engineer’s laptop. No leaked private keys. No broken blockchain. Just unauthorized withdrawals through internal infrastructure. Crypto loves arguing CEX vs DeFi, but the oldest exploit in the industry is still the same: the human in the middle.

Nvidia is one of the greatest trades of our lifetime and Bitcoin still made it look slow. The same $1 ends up around $371 in NVDA vs $76,898 in BTC in this chart. People love calling Bitcoin “too risky,” but sometimes the bigger risk was choosing the safer-looking winner.

If the pitch starts with “you missed Bitcoin in 2012,” they’re selling FOMO before they’re selling a business. Then comes the magic part: AI builds the product, the store, the content, basically everything. Maybe AI e-commerce is a real opportunity. But comparing every new online hustle to early Bitcoin is exactly how people end up buying the dream instead of building the business.

Imagine stealing $230M in crypto and then doing everything possible to make sure nobody misses you. Giving away million-dollar cars after the heist isn’t money laundering. It’s basically sending law enforcement a push notification. The crypto was sophisticated. The opsec was pure cooked.

Crypto has completely broken people’s sense of money. A guy casually points at a mansion in Puerto Rico and goes, “yeah, apparently Ethereum’s co-founder is my neighbor,” like he’s talking about the dude who borrows his lawn mower. Once billionaires become neighborhood trivia, your circle is officially cooked.

“Teaching my 51-year-old mom how to trade” sounds wholesome until the lesson becomes: Green = bullish. Red = bearish. Now follow the best traders and copy whatever they do. That’s not learning to trade. That’s outsourcing the trade to a stranger with a leaderboard. And honestly, that’s probably exactly why copy trading is so easy to sell to beginners.

Everyone assumes AI agents will be bullish for stablecoins. Mizuho thinks they could cut Circle’s reserve revenue by up to 20%. The reason is almost embarrassingly simple: an AI managing your money has little reason to leave it sitting in USDC earning nothing if it can automatically move it into higher-yielding fiat or stablecoin alternatives. AI agents may increase stablecoin usage while making stablecoin issuers fight much harder to keep the money.